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17 * LICENSE file in the root directory of this source tree.
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s=(t.flags&128)!==0;if(!n&&!s)return r&&xv(t,a,!1),In(e,t,o);n=t.stateNode,ej.current=t;var l=s&&typeof a.getDerivedStateFromError!="function"?null:n.render();return t.flags|=1,e!==null&&s?(t.child=Ui(t,e.child,null,o),t.child=Ui(t,null,l,o)):zt(e,t,l,o),t.memoizedState=n.state,r&&xv(t,a,!0),t.child}function i0(e){var t=e.stateNode;t.pendingContext?wv(e,t.pendingContext,t.pendingContext!==t.context):t.context&&wv(e,t.context,!1),eg(e,t.containerInfo)}function Uv(e,t,a,n,r){return qi(),Kf(r),t.flags|=256,zt(e,t,a,n),t.child}var rm={dehydrated:null,treeContext:null,retryLane:0};function om(e){return{baseLanes:e,cachePool:null,transitions:null}}function s0(e,t,a){var n=t.pendingProps,r=Ve.current,o=!1,s=(t.flags&128)!==0,l;if((l=s)||(l=e!==null&&e.memoizedState===null?!1:(r&2)!==0),l?(o=!0,t.flags&=-129):(e===null||e.memoizedState!==null)&&(r|=1),Me(Ve,r&1),e===null)return Qp(t),e=t.memoizedState,e!==null&&(e=e.dehydrated,e!==null)?(t.mode&1?e.data==="$!"?t.lanes=8:t.lanes=1073741824:t.lanes=1,null):(s=n.children,e=n.fallback,o?(n=t.mode,o=t.child,s={mode:"hidden",children:s},!(n&1)&&o!==null?(o.childLanes=0,o.pendingProps=s):o=bu(s,n,0,null),e=co(e,n,a,null),o.return=t,e.return=t,o.sibling=e,t.child=o,t.child.memoizedState=om(a),t.memoizedState=rm,e):lg(t,s));if(r=e.memoizedState,r!==null&&(l=r.dehydrated,l!==null))return tj(e,t,s,n,l,r,a);if(o){o=n.fallback,s=t.mode,r=e.child,l=r.sibling;var c={mode:"hidden",children:n.children};return!(s&1)&&t.child!==r?(n=t.child,n.childLanes=0,n.pendingProps=c,t.deletions=null):(n=gr(r,c),n.subtreeFlags=r.subtreeFlags&14680064),l!==null?o=gr(l,o):(o=co(o,s,a,null),o.flags|=2),o.return=t,n.return=t,n.sibling=o,t.child=n,n=o,o=t.child,s=e.child.memoizedState,s=s===null?om(a):{baseLanes:s.baseLanes|a,cachePool:null,transitions:s.transitions},o.memoizedState=s,o.childLanes=e.childLanes&~a,t.memoizedState=rm,n}return o=e.child,e=o.sibling,n=gr(o,{mode:"visible",children:n.children}),!(t.mode&1)&&(n.lanes=a),n.return=t,n.sibling=null,e!==null&&(a=t.deletions,a===null?(t.deletions=[e],t.flags|=16):a.push(e)),t.child=n,t.memoizedState=null,n}function lg(e,t){return t=bu({mode:"visible",children:t},e.mode,0,null),t.return=e,e.child=t}function yc(e,t,a,n){return n!==null&&Kf(n),Ui(t,e.child,null,a),e=lg(t,t.pendingProps.children),e.flags|=2,t.memoizedState=null,e}function tj(e,t,a,n,r,o,s){if(a)return t.flags&256?(t.flags&=-257,n=Dh(Error(U(422))),yc(e,t,s,n)):t.memoizedState!==null?(t.child=e.child,t.flags|=128,null):(o=n.fallback,r=t.mode,n=bu({mode:"visible",children:n.children},r,0,null),o=co(o,r,s,null),o.flags|=2,n.return=t,o.return=t,n.sibling=o,t.child=n,t.mode&1&&Ui(t,e.child,null,s),t.child.memoizedState=om(s),t.memoizedState=rm,o);if(!(t.mode&1))return yc(e,t,s,null);if(r.data==="$!"){if(n=r.nextSibling&&r.nextSibling.dataset,n)var l=n.dgst;return n=l,o=Error(U(419)),n=Dh(o,n,void 0),yc(e,t,s,n)}if(l=(s&e.childLanes)!==0,Gt||l){if(n=mt,n!==null){switch(s&-s){case 4:r=2;break;case 16:r=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:r=32;break;case 536870912:r=268435456;break;default:r=0}

41r=r&(n.suspendedLanes|s)?0:r,r!==0&&r!==o.retryLane&&(o.retryLane=r,Tn(e,r),Ga(n,e,r,-1))}return mg(),n=Dh(Error(U(421))),yc(e,t,s,n)}return r.data==="$?"?(t.flags|=128,t.child=e.child,t=mj.bind(null,e),r._reactRetry=t,null):(e=o.treeContext,Xt=hr(r.nextSibling),ea=t,Be=!0,La=null,e!==null&&(ha[pa++]=wn,ha[pa++]=xn,ha[pa++]=po,wn=e.id,xn=e.overflow,po=t),t=lg(t,n.children),t.flags|=4096,t)}function Mv(e,t,a){e.lanes|=t;var n=e.alternate;n!==null&&(n.lanes|=t),Zp(e.return,t,a)}function _h(e,t,a,n,r){var o=e.memoizedState;o===null?e.memoizedState={isBackwards:t,rendering:null,renderingStartTime:0,last:n,tail:a,tailMode:r}:(o.isBackwards=t,o.rendering=null,o.renderingStartTime=0,o.last=n,o.tail=a,o.tailMode=r)}function l0(e,t,a){var n=t.pendingProps,r=n.revealOrder,o=n.tail;if(zt(e,t,n.children,a),n=Ve.current,n&2)n=n&1|2,t.flags|=128;else{if(e!==null&&e.flags&128)e:for(e=t.child;e!==null;){if(e.tag===13)e.memoizedState!==null&&Mv(e,a,t);else if(e.tag===19)Mv(e,a,t);else if(e.child!==null){e.child.return=e,e=e.child;continue}if(e===t)break e;for(;e.sibling===null;){if(e.return===null||e.return===t)break e;e=e.return}e.sibling.return=e.return,e=e.sibling}n&=1}if(Me(Ve,n),!(t.mode&1))t.memoizedState=null;else switch(r){case"forwards":for(a=t.child,r=null;a!==null;)e=a.alternate,e!==null&&Pd(e)===null&&(r=a),a=a.sibling;a=r,a===null?(r=t.child,t.child=null):(r=a.sibling,a.sibling=null),_h(t,!1,r,a,o);break;case"backwards":for(a=null,r=t.child,t.child=null;r!==null;){if(e=r.alternate,e!==null&&Pd(e)===null){t.child=r;break}e=r.sibling,r.sibling=a,a=r,r=e}_h(t,!0,a,null,o);break;case"together":_h(t,!1,null,null,void 0);break;default:t.memoizedState=null}return t.child}function Yc(e,t){!(t.mode&1)&&e!==null&&(e.alternate=null,t.alternate=null,t.flags|=2)}function In(e,t,a){if(e!==null&&(t.dependencies=e.dependencies),fo|=t.lanes,!(a&t.childLanes))return null;if(e!==null&&t.child!==e.child)throw Error(U(153));if(t.child!==null){for(e=t.child,a=gr(e,e.pendingProps),t.child=a,a.return=t;e.sibling!==null;)e=e.sibling,a=a.sibling=gr(e,e.pendingProps),a.return=t;a.sibling=null}return t.child}function aj(e,t,a){switch(t.tag){case 3:i0(t),qi();break;case 5:Dk(t);break;case 1:Ht(t.type)&&wd(t);break;case 4:eg(t,t.stateNode.containerInfo);break;case 10:var n=t.type._context,r=t.memoizedProps.value;Me(Cd,n._currentValue),n._currentValue=r;break;case 13:if(n=t.memoizedState,n!==null)return n.dehydrated!==null?(Me(Ve,Ve.current&1),t.flags|=128,null):a&t.child.childLanes?s0(e,t,a):(Me(Ve,Ve.current&1),e=In(e,t,a),e!==null?e.sibling:null);Me(Ve,Ve.current&1);break;case 19:if(n=(a&t.childLanes)!==0,e.flags&128){if(n)return l0(e,t,a);t.flags|=128}if(r=t.memoizedState,r!==null&&(r.rendering=null,r.tail=null,r.lastEffect=null),Me(Ve,Ve.current),n)break;return null;case 22:case 23:return t.lanes=0,r0(e,t,a)}return In(e,t,a)}var c0,im,d0,u0;c0=function(e,t){for(var a=t.child;a!==null;){if(a.tag===5||a.tag===6)e.appendChild(a.stateNode);else if(a.tag!==4&&a.child!==null){a.child.return=a,a=a.child;continue}if(a===t)break;for(;a.sibling===null;){if(a.return===null||a.return===t)return;a=a.return}a.sibling.return=a.return,a=a.sibling}};im=function(){};d0=function(e,t,a,n){var r=e.memoizedProps;if(r!==n){e=t.stateNode,Qr(cn.current);var o=null;switch(a){case"input":r=Ip(e,r),n=Ip(e,n),o=[];break;case"select":r=$e({},r,{value:void 0}),n=$e({},n,{value:void 0}),o=[];break;case"textarea":r=Ep(e,r),n=Ep(e,n),o=[];break;default:typeof r.onClick!="function"&&typeof n.onClick=="function"&&(e.onclick=vd)}Rp(a,n);var s;a=null;for(d in r)if(!n.hasOwnProperty(d)&&r.hasOwnProperty(d)&&r[d]!=null)if(d==="style"){var l=r[d];for(s in l)l.hasOwnProperty(s)&&(a||(a={}),a[s]="")}else d!=="dangerouslySetInnerHTML"&&d!=="children"&&d!=="suppressContentEditableWarning"&&d!=="suppressHydrationWarning"&&d!=="autoFocus"&&(Zs.hasOwnProperty(d)?o||(o=[]):(o=o||[]).push(d,null));for(d in n){var c=n[d];if(l=r!=null?r[d]:void 0,n.hasOwnProperty(d)&&c!==l&&(c!=null||l!=null))if(d==="style")if(l){for(s in l)!l.hasOwnProperty(s)||c&&c.hasOwnProperty(s)||(a||(a={}),a[s]="");for(s in c)c.hasOwnProperty(s)&&l[s]!==c[s]&&(a||(a={}),a[s]=c[s])}else a||(o||(o=[]),o.push(d,a)),a=c;else d==="dangerouslySetInnerHTML"?(c=c?c.__html:void 0,l=l?l.__html:void 0,c!=null&&l!==c&&(o=o||[]).push(d,c)):d==="children"?typeof c!="string"&&typeof c!="number"||(o=o||[]).push(d,""+c):d!=="suppressContentEditableWarning"&&d!=="suppressHydrationWarning"&&(Zs.hasOwnProperty(d)?(c!=null&&d==="onScroll"&&Ge("scroll",e),o||l===c||(o=[])):(o=o||[]).push(d,c))}a&&(o=o||[]).push("style",a);var d=o;(t.updateQueue=d)&&(t.flags|=4)}};u0=function(e,t,a,n){a!==n&&(t.flags|=4)};function ws(e,t){if(!Be)switch(e.tailMode){case"hidden":t=e.tail;for(var a=null;t!==null;)t.alternate!==null&&(a=t),t=t.sibling;a===null?e.tail=null:a.sibling=null;break;case"collapsed":a=e.tail;for(var n=null;a!==null;)a.alternate!==null&&(n=a),a=a.sibling;n===null?t||e.tail===null?e.tail=null:e.tail.sibling=null:n.sibling=null}}function Tt(e){var t=e.alternate!==null&&e.alternate.child===e.child,a=0,n=0;if(t)for(var r=e.child;r!==null;)a|=r.lanes|r.childLanes,n|=r.subtreeFlags&14680064,n|=r.flags&14680064,r.return=e,r=r.sibling;else for(r=e.child;r!==null;)a|=r.lanes|r.childLanes,n|=r.subtreeFlags,n|=r.flags,r.return=e,r=r.sibling;return e.subtreeFlags|=n,e.childLanes=a,t}function nj(e,t,a){var n=t.pendingProps;switch($f(t),t.tag){case 2:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return Tt(t),null;case 1:return Ht(t.type)&&bd(),Tt(t),null;

41case 3:return n=t.stateNode,Mi(),Fe(Ft),Fe(Nt),ag(),n.pendingContext&&(n.context=n.pendingContext,n.pendingContext=null),(e===null||e.child===null)&&(fc(t)?t.flags|=4:e===null||e.memoizedState.isDehydrated&&!(t.flags&256)||(t.flags|=1024,La!==null&&(mm(La),La=null))),im(e,t),Tt(t),null;case 5:tg(t);var r=Qr(dl.current);if(a=t.type,e!==null&&t.stateNode!=null)d0(e,t,a,n,r),e.ref!==t.ref&&(t.flags|=512,t.flags|=2097152);else{if(!n){if(t.stateNode===null)throw Error(U(166));return Tt(t),null}if(e=Qr(cn.current),fc(t)){n=t.stateNode,a=t.type;var o=t.memoizedProps;switch(n[tn]=t,n[ll]=o,e=(t.mode&1)!==0,a){case"dialog":Ge("cancel",n),Ge("close",n);break;case"iframe":case"object":case"embed":Ge("load",n);break;case"video":case"audio":for(r=0;r<Ns.length;r++)Ge(Ns[r],n);break;case"source":Ge("error",n);break;case"img":case"image":case"link":Ge("error",n),Ge("load",n);break;case"details":Ge("toggle",n);break;case"input":$y(n,o),Ge("invalid",n);break;case"select":n._wrapperState={wasMultiple:!!o.multiple},Ge("invalid",n);break;case"textarea":Yy(n,o),Ge("invalid",n)}Rp(a,o),r=null;for(var s in o)if(o.hasOwnProperty(s)){var l=o[s];s==="children"?typeof l=="string"?n.textContent!==l&&(o.suppressHydrationWarning!==!0&&mc(n.textContent,l,e),r=["children",l]):typeof l=="number"&&n.textContent!==""+l&&(o.suppressHydrationWarning!==!0&&mc(n.textContent,l,e),r=["children",""+l]):Zs.hasOwnProperty(s)&&l!=null&&s==="onScroll"&&Ge("scroll",n)}switch(a){case"input":ic(n),Ky(n,o,!0);break;case"textarea":ic(n),Jy(n);break;case"select":case"option":break;default:typeof o.onClick=="function"&&(n.onclick=vd)}n=r,t.updateQueue=n,n!==null&&(t.flags|=4)}else{s=r.nodeType===9?r:r.ownerDocument,e==="http://www.w3.org/1999/xhtml"&&(e=Lx(a)),e==="http://www.w3.org/1999/xhtml"?a==="script"?(e=s.createElement("div"),e.innerHTML="<script><\/script>",e=e.removeChild(e.firstChild)):typeof n.is=="string"?e=s.createElement(a,{is:n.is}):(e=s.createElement(a),a==="select"&&(s=e,n.multiple?s.multiple=!0:n.size&&(s.size=n.size))):e=s.createElementNS(e,a),e[tn]=t,e[ll]=n,c0(e,t,!1,!1),t.stateNode=e;e:{switch(s=Dp(a,n),a){case"dialog":Ge("cancel",e),Ge("close",e),r=n;break;case"iframe":case"object":case"embed":Ge("load",e),r=n;break;case"video":case"audio":for(r=0;r<Ns.length;r++)Ge(Ns[r],e);r=n;break;case"source":Ge("error",e),r=n;break;case"img":case"image":case"link":Ge("error",e),Ge("load",e),r=n;break;case"details":Ge("toggle",e),r=n;break;case"input":$y(e,n),r=Ip(e,n),Ge("invalid",e);break;case"option":r=n;break;case"select":e._wrapperState={wasMultiple:!!n.multiple},r=$e({},n,{value:void 0}),Ge("invalid",e);break;case"textarea":Yy(e,n),r=Ep(e,n),Ge("invalid",e);break;default:r=n}Rp(a,r),l=r;for(o in l)if(l.hasOwnProperty(o)){var c=l[o];o==="style"?Fx(e,c):o==="dangerouslySetInnerHTML"?(c=c?c.__html:void 0,c!=null&&Ox(e,c)):o==="children"?typeof c=="string"?(a!=="textarea"||c!=="")&&Xs(e,c):typeof c=="number"&&Xs(e,""+c):o!=="suppressContentEditableWarning"&&o!=="suppressHydrationWarning"&&o!=="autoFocus"&&(Zs.hasOwnProperty(o)?c!=null&&o==="onScroll"&&Ge("scroll",e):c!=null&&zf(e,o,c,s))}switch(a){case"input":ic(e),Ky(e,n,!1);break;case"textarea":ic(e),Jy(e);break;case"option":n.value!=null&&e.setAttribute("value",""+wr(n.value));break;case"select":e.multiple=!!n.multiple,o=n.value,o!=null?fi(e,!!n.multiple,o,!1):n.defaultValue!=null&&fi(e,!!n.multiple,n.defaultValue,!0);break;default:typeof r.onClick=="function"&&(e.onclick=vd)}switch(a){case"button":case"input":case"select":case"textarea":n=!!n.autoFocus;break e;case"img":n=!0;break e;default:n=!1}}n&&(t.flags|=4)}t.ref!==null&&(t.flags|=512,t.flags|=2097152)}return Tt(t),null;case 6:if(e&&t.stateNode!=null)u0(e,t,e.memoizedProps,n);else{if(typeof n!="string"&&t.stateNode===null)throw Error(U(166));if(a=Qr(dl.current),Qr(cn.current),fc(t)){if(n=t.stateNode,a=t.memoizedProps,n[tn]=t,(o=n.nodeValue!==a)&&(e=ea,e!==null))switch(e.tag){case 3:mc(n.nodeValue,a,(e.mode&1)!==0);break;case 5:e.memoizedProps.suppressHydrationWarning!==!0&&mc(n.nodeValue,a,(e.mode&1)!==0)}o&&(t.flags|=4)}else n=(a.nodeType===9?a:a.ownerDocument).createTextNode(n),n[tn]=t,t.stateNode=n}return Tt(t),null;case 13:if(Fe(Ve),n=t.memoizedState,e===null||e.memoizedState!==null&&e.memoizedState.dehydrated!==null){if(Be&&Xt!==null&&t.mode&1&&!(t.flags&128))jk(),qi(),t.flags|=98560,o=!1;else if(o=fc(t),n!==null&&n.dehydrated!==null){if(e===null){if(!o)throw Error(U(318));if(o=t.memoizedState,o=o!==null?o.dehydrated:null,!o)throw Error(U(317));o[tn]=t}else qi(),!(t.flags&128)&&(t.memoizedState=null),t.flags|=4;Tt(t),o=!1}else La!==null&&(mm(La),La=null),o=!0;if(!o)return t.flags&65536?t:null}return t.flags&128?(t.lanes=a,t):(n=n!==null,n!==(e!==null&&e.memoizedState!==null)&&n&&(t.child.flags|=8192,t.mode&1&&(e===null||Ve.current&1?ut===0&&(ut=3):mg())),t.updateQueue!==null&&(t.flags|=4),Tt(t),null);case 4:return Mi(),im(e,t),e===null&&il(t.stateNode.containerInfo),Tt(t),null;case 10:return Qf(t.type._context),Tt(t),null;case 17:return Ht(t.type)&&bd(),Tt(t),null;case 19:if(Fe(Ve),o=t.memoizedState,o===null)return Tt(t),null;if(n=(t.flags&128)!==0,s=o.rendering,s===null)if(n)ws(o,!1);else{if(ut!==0||e!==null&&e.flags&128)for(e=t.child;e!==null;){if(s=Pd(e),s!==null){for(t.flags|=128,ws(o,!1),n=s.updateQueue,n!==null&&(t.updateQueue=n,t.flags|=4),t.subtreeFlags=0,n=a,a=t.child;a!==null;)o=a,e=n,o.flags&=14680066,s=o.alternate,s===null?(o.childLanes=0,o.lanes=e,o.child=null,o.subtreeFlags=0,o.memoizedProps=null,o.memoizedState=null,o.updateQueue=null,o.dependencies=null,o.stateNode=null):(o.childLanes=s.childLanes,o.lanes=s.lanes,o.child=s.child,o.subtreeFlags=0,o.deletions=null,o.memoizedProps=s.memoizedProps,o.memoizedState=s.memoizedState,o.updateQueue=s.updateQueue,o.type=s.type,e=s.dependencies,o.dependencies=e===null?null:{lanes:e.lanes,firstContext:e.firstContext}),a=a.sibling;return 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Wv(e,t,a){t=Li(a,t),t=t0(e,t,1),e=pr(e,t,1),t=Dt(),e!==null&&(Fl(e,1,t),Bt(e,t))}function Qe(e,t,a){if(e.tag===3)Wv(e,e,a);else for(;t!==null;){if(t.tag===3){Wv(t,e,a);break}else if(t.tag===1){var n=t.stateNode;if(typeof t.type.getDerivedStateFromError=="function"||typeof n.componentDidCatch=="function"&&(mr===null||!mr.has(n))){e=Li(a,e),e=a0(t,e,1),t=pr(t,e,1),e=Dt(),t!==null&&(Fl(t,1,e),Bt(t,e));break}}t=t.return}}function pj(e,t,a){var n=e.pingCache;n!==null&&n.delete(t),t=Dt(),e.pingedLanes|=e.suspendedLanes&a,mt===e&&(xt&a)===a&&(ut===4||ut===3&&(xt&130023424)===xt&&500>et()-ug?lo(e,0):dg|=a),Bt(e,t)}function k0(e,t){t===0&&(e.mode&1?(t=cc,cc<<=1,!(cc&130023424)&&(cc=4194304)):t=1);var a=Dt();e=Tn(e,t),e!==null&&(Fl(e,t,a),Bt(e,a))}function mj(e){var t=e.memoizedState,a=0;t!==null&&(a=t.retryLane),k0(e,a)}function fj(e,t){var a=0;switch(e.tag){case 13:var n=e.stateNode,r=e.memoizedState;r!==null&&(a=r.retryLane);break;case 19:n=e.stateNode;break;default:throw 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41{const{__scopeToast:a,type:n="foreground",duration:r,open:o,onClose:s,onEscapeKeyDown:l,onPause:c,onResume:d,onSwipeStart:u,onSwipeMove:h,onSwipeCancel:m,onSwipeEnd:p,...b}=e,g=Au($l,a),[v,w]=f.useState(null),y=ye(t,E=>w(E)),x=f.useRef(null),k=f.useRef(null),C=r||g.duration,S=f.useRef(0),A=f.useRef(C),P=f.useRef(0),{onToastAdd:I,onToastRemove:N}=g,V=tt(()=>{var K;(v==null?void 0:v.contains(document.activeElement))&&((K=g.viewport)==null||K.focus()),s()}),z=f.useCallback(E=>{!E||E===1/0||(window.clearTimeout(P.current),S.current=new Date().getTime(),P.current=window.setTimeout(V,E))},[V]);f.useEffect(()=>{const E=g.viewport;if(E){const K=()=>{z(A.current),d==null||d()},F=()=>{const Z=new Date().getTime()-S.current;A.current=A.current-Z,window.clearTimeout(P.current),c==null||c()};return E.addEventListener(ym,F),E.addEventListener(vm,K),()=>{E.removeEventListener(ym,F),E.removeEventListener(vm,K)}}},[g.viewport,C,c,d,z]),f.useEffect(()=>{o&&!g.isClosePausedRef.current&&z(C)},[o,C,g.isClosePausedRef,z]),f.useEffect(()=>(I(),()=>N()),[I,N]);const L=f.useMemo(()=>v?Y0(v):null,[v]);return g.viewport?i.jsxs(i.Fragment,{children:[L&&i.jsx(pN,{__scopeToast:a,role:"status","aria-live":n==="foreground"?"assertive":"polite","aria-atomic":!0,children:L}),i.jsx(dN,{scope:a,onClose:V,children:No.createPortal(i.jsx(kg.ItemSlot,{scope:a,children:i.jsx(Wj,{asChild:!0,onEscapeKeyDown:q(l,()=>{g.isFocusedToastEscapeKeyDownRef.current||V(),g.isFocusedToastEscapeKeyDownRef.current=!1}),children:i.jsx(ee.li,{role:"status","aria-live":"off","aria-atomic":!0,tabIndex:0,"data-state":o?"open":"closed","data-swipe-direction":g.swipeDirection,...b,ref:y,style:{userSelect:"none",touchAction:"none",...e.style},onKeyDown:q(e.onKeyDown,E=>{E.key==="Escape"&&(l==null||l(E.nativeEvent),E.nativeEvent.defaultPrevented||(g.isFocusedToastEscapeKeyDownRef.current=!0,V()))}),onPointerDown:q(e.onPointerDown,E=>{E.button===0&&(x.current={x:E.clientX,y:E.clientY})}),onPointerMove:q(e.onPointerMove,E=>{if(!x.current)return;const K=E.clientX-x.current.x,F=E.clientY-x.current.y,Z=!!k.current,j=["left","right"].includes(g.swipeDirection),T=["left","up"].includes(g.swipeDirection)?Math.min:Math.max,O=j?T(0,K):0,$=j?0:T(0,F),W=E.pointerType==="touch"?10:2,se={x:O,y:$},le={originalEvent:E,delta:se};Z?(k.current=se,kc(sN,h,le,{discrete:!1})):tb(se,g.swipeDirection,W)?(k.current=se,kc(iN,u,le,{discrete:!1}),E.target.setPointerCapture(E.pointerId)):(Math.abs(K)>W||Math.abs(F)>W)&&(x.current=null)}),onPointerUp:q(e.onPointerUp,E=>{const K=k.current,F=E.target;if(F.hasPointerCapture(E.pointerId)&&F.releasePointerCapture(E.pointerId),k.current=null,x.current=null,K){const Z=E.currentTarget,j={originalEvent:E,delta:K};tb(K,g.swipeDirection,g.swipeThreshold)?kc(cN,p,j,{discrete:!0}):kc(lN,m,j,{discrete:!0}),Z.addEventListener("click",T=>T.preventDefault(),{once:!0})}})})})}),g.viewport)})]}):null}),pN=e=>{const{__scopeToast:t,children:a,...n}=e,r=Au($l,t),[o,s]=f.useState(!1),[l,c]=f.useState(!1);return gN(()=>s(!0)),f.useEffect(()=>{const d=window.setTimeout(()=>c(!0),1e3);return()=>window.clearTimeout(d)},[]),l?null:i.jsx(Zi,{asChild:!0,children:i.jsx(Su,{...n,children:o&&i.jsxs(i.Fragment,{children:[r.label," ",a]})})})},mN="ToastTitle",H0=f.forwardRef((e,t)=>{const{__scopeToast:a,...n}=e;return i.jsx(ee.div,{...n,ref:t})});H0.displayName=mN;var fN="ToastDescription",B0=f.forwardRef((e,t)=>{const{__scopeToast:a,...n}=e;return i.jsx(ee.div,{...n,ref:t})});B0.displayName=fN;var V0="ToastAction",W0=f.forwardRef((e,t)=>{const{altText:a,...n}=e;return a.trim()?i.jsx(K0,{altText:a,asChild:!0,children:i.jsx(Cg,{...n,ref:t})}):(console.error(`Invalid prop \`altText\` supplied to \`${V0}\`. Expected non-empty \`string\`.`),null)});W0.displayName=V0;var $0="ToastClose",Cg=f.forwardRef((e,t)=>{const{__scopeToast:a,...n}=e,r=uN($0,a);return i.jsx(K0,{asChild:!0,children:i.jsx(ee.button,{type:"button",...n,ref:t,onClick:q(e.onClick,r.onClose)})})});Cg.displayName=$0;var K0=f.forwardRef((e,t)=>{const{__scopeToast:a,altText:n,...r}=e;return i.jsx(ee.div,{"data-radix-toast-announce-exclude":"","data-radix-toast-announce-alt":n||void 0,...r,ref:t})});function Y0(e){const t=[];

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42 * @license lucide-react v0.462.0 - ISC
43 *
44 * This source code is licensed under the ISC license.
45 * See the LICENSE file in the root directory of this source tree.
46 */const wN=e=>e.replace(/([a-z0-9])([A-Z])/g,"$1-$2").toLowerCase(),rC=(...e)=>e.filter((t,a,n)=>!!t&&t.trim()!==""&&n.indexOf(t)===a).join(" ").trim();/**
47 * @license lucide-react v0.462.0 - ISC
48 *
49 * This source code is licensed under the ISC license.
50 * See the LICENSE file in the root directory of this source tree.
51 */var xN={xmlns:"http://www.w3.org/2000/svg",width:24,height:24,viewBox:"0 0 24 24",fill:"none",stroke:"currentColor",strokeWidth:2,strokeLinecap:"round",strokeLinejoin:"round"};/**
52 * @license lucide-react v0.462.0 - ISC
53 *
54 * This source code is licensed under the ISC license.
55 * See the LICENSE file in the root directory of this source tree.
56 */const kN=f.forwardRef(({color:e="currentColor",size:t=24,strokeWidth:a=2,absoluteStrokeWidth:n,className:r="",children:o,iconNode:s,...l},c)=>f.createElement("svg",{ref:c,...xN,width:t,height:t,stroke:e,strokeWidth:n?Number(a)*24/Number(t):a,className:rC("lucide",r),...l},[...s.map(([d,u])=>f.createElement(d,u)),...Array.isArray(o)?o:[o]]));/**
57 * @license lucide-react v0.462.0 - ISC
58 *
59 * This source code is licensed under the ISC license.
60 * See the LICENSE file in the root directory of this source tree.
61 */const Q=(e,t)=>{const a=f.forwardRef(({className:n,...r},o)=>f.createElement(kN,{ref:o,iconNode:t,className:rC(`lucide-${wN(e)}`,n),...r}));return a.displayName=`${e}`,a};/**
62 * @license lucide-react v0.462.0 - ISC
63 *
64 * This source code is licensed under the ISC license.
65 * See the LICENSE file in the root directory of this source tree.
66 */const at=Q("ArrowRight",[["path",{d:"M5 12h14",key:"1ays0h"}],["path",{d:"m12 5 7 7-7 7",key:"xquz4c"}]]);/**
67 * @license lucide-react v0.462.0 - ISC
68 *
69 * This source code is licensed under the ISC license.
70 * See the LICENSE file in the root directory of this source tree.
71 */const wm=Q("Bot",[["path",{d:"M12 8V4H8",key:"hb8ula"}],["rect",{width:"16",height:"12",x:"4",y:"8",rx:"2",key:"enze0r"}],["path",{d:"M2 14h2",key:"vft8re"}],["path",{d:"M20 14h2",key:"4cs60a"}],["path",{d:"M15 13v2",key:"1xurst"}],["path",{d:"M9 13v2",key:"rq6x2g"}]]);/**
72 * @license lucide-react v0.462.0 - ISC
73 *
74 * This source code is licensed under the ISC license.
75 * See the LICENSE file in the root directory of this source tree.
76 */const vo=Q("Briefcase",[["path",{d:"M16 20V4a2 2 0 0 0-2-2h-4a2 2 0 0 0-2 2v16",key:"jecpp"}],["rect",{width:"20",height:"14",x:"2",y:"6",rx:"2",key:"i6l2r4"}]]);/**
77 * @license lucide-react v0.462.0 - ISC
78 *
79 * This source code is licensed under the ISC license.
80 * See the LICENSE file in the root directory of this source tree.
81 */const Zr=Q("Building2",[["path",{d:"M6 22V4a2 2 0 0 1 2-2h8a2 2 0 0 1 2 2v18Z",key:"1b4qmf"}],["path",{d:"M6 12H4a2 2 0 0 0-2 2v6a2 2 0 0 0 2 2h2",key:"i71pzd"}],["path",{d:"M18 9h2a2 2 0 0 1 2 2v9a2 2 0 0 1-2 2h-2",key:"10jefs"}],["path",{d:"M10 6h4",key:"1itunk"}],["path",{d:"M10 10h4",key:"tcdvrf"}

81],["path",{d:"M10 14h4",key:"kelpxr"}],["path",{d:"M10 18h4",key:"1ulq68"}]]);/**
82 * @license lucide-react v0.462.0 - ISC
83 *
84 * This source code is licensed under the ISC license.
85 * See the LICENSE file in the root directory of this source tree.
86 */const td=Q("Building",[["rect",{width:"16",height:"20",x:"4",y:"2",rx:"2",ry:"2",key:"76otgf"}],["path",{d:"M9 22v-4h6v4",key:"r93iot"}],["path",{d:"M8 6h.01",key:"1dz90k"}],["path",{d:"M16 6h.01",key:"1x0f13"}],["path",{d:"M12 6h.01",key:"1vi96p"}],["path",{d:"M12 10h.01",key:"1nrarc"}],["path",{d:"M12 14h.01",key:"1etili"}],["path",{d:"M16 10h.01",key:"1m94wz"}],["path",{d:"M16 14h.01",key:"1gbofw"}],["path",{d:"M8 10h.01",key:"19clt8"}],["path",{d:"M8 14h.01",key:"6423bh"}]]);/**
87 * @license lucide-react v0.462.0 - ISC
88 *
89 * This source code is licensed under the ISC license.
90 * See the LICENSE file in the root directory of this source tree.
91 */const CN=Q("Calendar",[["path",{d:"M8 2v4",key:"1cmpym"}],["path",{d:"M16 2v4",key:"4m81vk"}],["rect",{width:"18",height:"18",x:"3",y:"4",rx:"2",key:"1hopcy"}],["path",{d:"M3 10h18",key:"8toen8"}]]);/**
92 * @license lucide-react v0.462.0 - ISC
93 *
94 * This source code is licensed under the ISC license.
95 * See the LICENSE file in the root directory of this source tree.
96 */const xi=Q("Camera",[["path",{d:"M14.5 4h-5L7 7H4a2 2 0 0 0-2 2v9a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2V9a2 2 0 0 0-2-2h-3l-2.5-3z",key:"1tc9qg"}],["circle",{cx:"12",cy:"13",r:"3",key:"1vg3eu"}]]);/**
97 * @license lucide-react v0.462.0 - ISC
98 *
99 * This source code is licensed under the ISC license.
100 * See the LICENSE file in the root directory of this source tree.
101 */const Sg=Q("ChartColumn",[["path",{d:"M3 3v16a2 2 0 0 0 2 2h16",key:"c24i48"}],["path",{d:"M18 17V9",key:"2bz60n"}],["path",{d:"M13 17V5",key:"1frdt8"}],["path",{d:"M8 17v-3",key:"17ska0"}]]);/**
102 * @license lucide-react v0.462.0 - ISC
103 *
104 * This source code is licensed under the ISC license.
105 * See the LICENSE file in the root directory of this source tree.
106 */const Cn=Q("Check",[["path",{d:"M20 6 9 17l-5-5",key:"1gmf2c"}]]);/**
107 * @license lucide-react v0.462.0 - ISC
108 *
109 * This source code is licensed under the ISC license.
110 * See the LICENSE file in the root directory of this source tree.
111 */const Pu=Q("ChevronDown",[["path",{d:"m6 9 6 6 6-6",key:"qrunsl"}]]);/**
112 * @license lucide-react v0.462.0 - ISC
113 *
114 * This source code is licensed under the ISC license.
115 * See the LICENSE file in the root directory of this source tree.
116 */const SN=Q("ChevronRight",[["path",{d:"m9 18 6-6-6-6",key:"mthhwq"}]]);/**
117 * @license lucide-react v0.462.0 - ISC
118 *
119 * This source code is licensed under the ISC license.
120 * See the LICENSE file in the root directory of this source tree.
121 */const AN=Q("ChevronUp",[["path",{d:"m18 15-6-6-6 6",key:"153udz"}]]);/**
122 * @license lucide-react v0.462.0 - ISC
123 *
124 * This source code is licensed under the ISC license.
125 * See the LICENSE file in the root directory of this source tree.
126 */const gl=Q("CircleCheck",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["path",{d:"m9 12 2 2 4-4",key:"dzmm74"}]]);/**
127 * @license lucide-react v0.462.0 - ISC
128 *
129 * This source code is licensed under the ISC license.
130 * See the LICENSE file in the root directory of this source tree.
131 */const PN=Q("CircleHelp",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["path",{d:"M9.09 9a3 3 0 0 1 5.83 1c0 2-3 3-3 3",key:"1u773s"}],["path",{d:"M12 17h.01",key:"p32p05"}]]);/**
132 * @license lucide-react v0.462.0 - ISC
133 *
134 * This source code is licensed under the ISC license.
135 * See the LICENSE file in the root directory of this source tree.
136 */const TN=Q("CirclePlay",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["polygon",{points:"10 8 16 12 10 16 10 8",key:"1cimsy"}]]);/**
137 * @license lucide-react v0.462.0 - ISC
138 *
139 * This source code is licensed under the ISC license.
140 * See the LICENSE file in the root directory of this source tree.
141 */const rb=Q("CircleUserRound",[["path",{d:"M18 20a6 6 0 0 0-12 0",key:"1qehca"}],["circle",{cx:"12",cy:"10",r:"4",key:"1h16sb"}],["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}]]);/**
142 * @license lucide-react v0.462.0 - ISC
143 *
144 * This source code is licensed under the ISC license.
145 * See the LICENSE file in the root directory of this source tree.
146 */const oC=Q("CircleUser",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["circle",{cx:"12",cy:"10",r:"3",key:"ilqhr7"}],["path",{d:"M7 20.662V19a2 2 0 0 1 2-2h6a2 2 0 0 1 2 2v1.662",key:"154egf"}]]);/**
147 * @license lucide-react v0.462.0 - ISC
148 *
149 * This source code is licensed under the ISC license.
150 * See the LICENSE file in the root directory of this source tree.
151 */const IN=Q("Circle",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}]]);/**
152 * @license lucide-react v0.462.0 - ISC
153 *
154 * This source code is licensed under the ISC license.
155 * See the LICENSE file in the root directory of this source tree.
156 */const Gh=Q("Clock",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["polyline",{points:"12 6 12 12 16 14",key:"68esgv"}]]);/**
157 * @license lucide-react v0.462.0 - ISC
158 *
159 * This source code is licensed under the ISC license.
160 * See the LICENSE file in the root directory of this source tree.
161 */const iC=Q("CodeXml",[["path",{d:"m18 16 4-4-4-4",key:"1inbqp"}],["path",{d:"m6 8-4 4 4 4",key:"15zrgr"}],["path",{d:"m14.5 4-5 16",key:"e7oirm"}]]);/**
162 * @license lucide-react v0.462.0 - ISC
163 *
164 * This source code is licensed under the ISC license.
165 * See the LICENSE file in the root directory of this source tree.
166 */const jN=Q("Code",[["polyline",{points:"16 18 22 12 16 6",key:"z7tu5w"}],["polyline",{points:"8 6 2 12 8 18",key:"1eg1df"}]]);/**
167 * @license lucide-react v0.462.0 - ISC
168 *
169 * This source code is licensed under the ISC license.
170 * See the LICENSE file in the root directory of this source tree.

171 */const NN=Q("CreditCard",[["rect",{width:"20",height:"14",x:"2",y:"5",rx:"2",key:"ynyp8z"}],["line",{x1:"2",x2:"22",y1:"10",y2:"10",key:"1b3vmo"}]]);/**
172 * @license lucide-react v0.462.0 - ISC
173 *
174 * This source code is licensed under the ISC license.
175 * See the LICENSE file in the root directory of this source tree.
176 */const xm=Q("Crown",[["path",{d:"M11.562 3.266a.5.5 0 0 1 .876 0L15.39 8.87a1 1 0 0 0 1.516.294L21.183 5.5a.5.5 0 0 1 .798.519l-2.834 10.246a1 1 0 0 1-.956.734H5.81a1 1 0 0 1-.957-.734L2.02 6.02a.5.5 0 0 1 .798-.519l4.276 3.664a1 1 0 0 0 1.516-.294z",key:"1vdc57"}],["path",{d:"M5 21h14",key:"11awu3"}]]);/**
177 * @license lucide-react v0.462.0 - ISC
178 *
179 * This source code is licensed under the ISC license.
180 * See the LICENSE file in the root directory of this source tree.
181 */const EN=Q("DollarSign",[["line",{x1:"12",x2:"12",y1:"2",y2:"22",key:"7eqyqh"}],["path",{d:"M17 5H9.5a3.5 3.5 0 0 0 0 7h5a3.5 3.5 0 0 1 0 7H6",key:"1b0p4s"}]]);/**
182 * @license lucide-react v0.462.0 - ISC
183 *
184 * This source code is licensed under the ISC license.
185 * See the LICENSE file in the root directory of this source tree.
186 */const zN=Q("Droplets",[["path",{d:"M7 16.3c2.2 0 4-1.83 4-4.05 0-1.16-.57-2.26-1.71-3.19S7.29 6.75 7 5.3c-.29 1.45-1.14 2.84-2.29 3.76S3 11.1 3 12.25c0 2.22 1.8 4.05 4 4.05z",key:"1ptgy4"}],["path",{d:"M12.56 6.6A10.97 10.97 0 0 0 14 3.02c.5 2.5 2 4.9 4 6.5s3 3.5 3 5.5a6.98 6.98 0 0 1-11.91 4.97",key:"1sl1rz"}]]);/**
187 * @license lucide-react v0.462.0 - ISC
188 *
189 * This source code is licensed under the ISC license.
190 * See the LICENSE file in the root directory of this source tree.
191 */const RN=Q("Earth",[["path",{d:"M21.54 15H17a2 2 0 0 0-2 2v4.54",key:"1djwo0"}],["path",{d:"M7 3.34V5a3 3 0 0 0 3 3a2 2 0 0 1 2 2c0 1.1.9 2 2 2a2 2 0 0 0 2-2c0-1.1.9-2 2-2h3.17",key:"1tzkfa"}],["path",{d:"M11 21.95V18a2 2 0 0 0-2-2a2 2 0 0 1-2-2v-1a2 2 0 0 0-2-2H2.05",key:"14pb5j"}],["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}]]);/**
192 * @license lucide-react v0.462.0 - ISC
193 *
194 * This source code is licensed under the ISC license.
195 * See the LICENSE file in the root directory of this source tree.
196 */const sC=Q("ExternalLink",[["path",{d:"M15 3h6v6",key:"1q9fwt"}],["path",{d:"M10 14 21 3",key:"gplh6r"}],["path",{d:"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6",key:"a6xqqp"}]]);/**
197 * @license lucide-react v0.462.0 - ISC
198 *
199 * This source code is licensed under the ISC license.
200 * See the LICENSE file in the root directory of this source tree.
201 */const DN=Q("FileCheck",[["path",{d:"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z",key:"1rqfz7"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4",key:"tnqrlb"}],["path",{d:"m9 15 2 2 4-4",key:"1grp1n"}]]);/**
202 * @license lucide-react v0.462.0 - ISC
203 *
204 * This source code is licensed under the ISC license.
205 * See the LICENSE file in the root directory of this source tree.
206 */const lC=Q("FileCode",[["path",{d:"M10 12.5 8 15l2 2.5",key:"1tg20x"}],["path",{d:"m14 12.5 2 2.5-2 2.5",key:"yinavb"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4",key:"tnqrlb"}],["path",{d:"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7z",key:"1mlx9k"}]]);/**
207 * @license lucide-react v0.462.0 - ISC
208 *
209 * This source code is licensed under the ISC license.
210 * See the LICENSE file in the root directory of this source tree.
211 */const _N=Q("FileText",[["path",{d:"M15 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V7Z",key:"1rqfz7"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4",key:"tnqrlb"}],["path",{d:"M10 9H8",key:"b1mrlr"}],["path",{d:"M16 13H8",key:"t4e002"}],["path",{d:"M16 17H8",key:"z1uh3a"}]]);/**
212 * @license lucide-react v0.462.0 - ISC
213 *
214 * This source code is licensed under the ISC license.
215 * See the LICENSE file in the root directory of this source tree.
216 */const Dd=Q("Gift",[["rect",{x:"3",y:"8",width:"18",height:"4",rx:"1",key:"bkv52"}],["path",{d:"M12 8v13",key:"1c76mn"}],["path",{d:"M19 12v7a2 2 0 0 1-2 2H7a2 2 0 0 1-2-2v-7",key:"6wjy6b"}],["path",{d:"M7.5 8a2.5 2.5 0 0 1 0-5A4.8 8 0 0 1 12 8a4.8 8 0 0 1 4.5-5 2.5 2.5 0 0 1 0 5",key:"1ihvrl"}]]);/**
217 * @license lucide-react v0.462.0 - ISC
218 *
219 * This source code is licensed under the ISC license.
220 * See the LICENSE file in the root directory of this source tree.
221 */const Tu=Q("Globe",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["path",{d:"M12 2a14.5 14.5 0 0 0 0 20 14.5 14.5 0 0 0 0-20",key:"13o1zl"}],["path",{d:"M2 12h20",key:"9i4pu4"}]]);/**
222 * @license lucide-react v0.462.0 - ISC
223 *
224 * This source code is licensed under the ISC license.
225 * See the LICENSE file in the root directory of this source tree.
226 */const ob=Q("HeartHandshake",[["path",{d:"M19 14c1.49-1.46 3-3.21 3-5.5A5.5 5.5 0 0 0 16.5 3c-1.76 0-3 .5-4.5 2-1.5-1.5-2.74-2-4.5-2A5.5 5.5 0 0 0 2 8.5c0 2.3 1.5 4.05 3 5.5l7 7Z",key:"c3ymky"}],["path",{d:"M12 5 9.04 7.96a2.17 2.17 0 0 0 0 3.08c.82.82 2.13.85 3 .07l2.07-1.9a2.82 2.82 0 0 1 3.79 0l2.96 2.66",key:"4oyue0"}],["path",{d:"m18 15-2-2",key:"60u0ii"}],["path",{d:"m15 18-2-2",key:"6p76be"}]]);/**
227 * @license lucide-react v0.462.0 - ISC
228 *
229 * This source code is licensed under the ISC license.
230 * See the LICENSE file in the root directory of this source tree.
231 */const qN=Q("Heart",[["path",{d:"M19 14c1.49-1.46 3-3.21 3-5.5A5.5 5.5 0 0 0 16.5 3c-1.76 0-3 .5-4.5 2-1.5-1.5-2.74-2-4.5-2A5.5 5.5 0 0 0 2 8.5c0 2.3 1.5 4.05 3 5.5l7 7Z",key:"c3ymky"}]]);/**
232 * @license lucide-react v0.462.0 - ISC
233 *
234 * This source code is licensed under the ISC license.
235 * See the LICENSE file in the root directory of this source tree.
236 */const Ag=Q("Image",[["rect",{width:"18",height:"18",x:"3",y:"3",rx:"2",ry:"2",key:"1m3agn"}],["circle",{cx:"9",cy:"9",r:"2",key:"af1f0g"}],["path",{d:"m21 15-3.086-3.086a2 2 0 0 0-2.828 0L6 21",key:"1xmnt7"}]]);/**
237 * @license lucide-react v0.462.0 - ISC
238 *
239 * This source code is licensed under the ISC license.
240 * See the LICENSE file in the root directory of this source tree.
241 */const ib=Q("Info",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["path",{d:"M12 16v-4",key:"1dtifu"}],["path",{d:"M12 8h.01",key:"e9boi3"}]]);/**
242 * @license lucide-react v0.462.0 - ISC
243 *
244 * This source code is licensed under the ISC license.
245 * See the LICENSE file in the root directory of this source tree.
246 */const UN=Q("Key",[["path",{d:"m15.5 7.5 2.3 2.3a1 1 0 0 0 1.4 0l2.1-2.1a1 1 0 0 0 0-1.4L19 4",key:"g0fldk"}],["path",{d:"m21 2-9.6 9.6",key:"1j0ho8"}],["circle",{cx:"7.5",cy:"15.5",r:"5.5",key:"yqb3hr"}]]);/**
247 * @license lucide-react v0.462.0 - ISC
248 *
249 * This source code is licensed under the ISC license.
250 * See the LICENSE file in the root directory of this source tree.
251 */const Kl=Q("Layers",[["path",{d:"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z",key:"8b97xw"}],["path",{d:"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65",key:"dd6zsq"}],["path",{d:"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65",key:"ep9fru"}]]);/**
252 * @license lucide-react v0.462.0 - ISC
253 *
254 * This source code is licensed under the ISC license.
255 * See the LICENSE file in the root directory of this source tree.
256 */const MN=Q("Linkedin",[["path",{d:"M16 8a6 6 0 0 1 6 6v7h-4v-7a2 2 0 0 0-2-2 2 2 0 0 0-2 2v7h-4v-7a6 6 0 0 1 6-6z",key:"c2jq9f"}],["rect",{width:"4",height:"12",x:"2",y:"9",key:"mk3on5"}],["circle",{cx:"4",cy:"4",r:"2",key:"bt5ra8"}]]);/**
257 * @license lucide-react v0.462.0 - ISC
258 *
259 * This source code is licensed under the ISC license.
260 * See the LICENSE file in the root directory of this source tree.

261 */const LN=Q("Lock",[["rect",{width:"18",height:"11",x:"3",y:"11",rx:"2",ry:"2",key:"1w4ew1"}],["path",{d:"M7 11V7a5 5 0 0 1 10 0v4",key:"fwvmzm"}]]);/**
262 * @license lucide-react v0.462.0 - ISC
263 *
264 * This source code is licensed under the ISC license.
265 * See the LICENSE file in the root directory of this source tree.
266 */const ON=Q("Megaphone",[["path",{d:"m3 11 18-5v12L3 14v-3z",key:"n962bs"}],["path",{d:"M11.6 16.8a3 3 0 1 1-5.8-1.6",key:"1yl0tm"}]]);/**
267 * @license lucide-react v0.462.0 - ISC
268 *
269 * This source code is licensed under the ISC license.
270 * See the LICENSE file in the root directory of this source tree.
271 */const GN=Q("Menu",[["line",{x1:"4",x2:"20",y1:"12",y2:"12",key:"1e0a9i"}],["line",{x1:"4",x2:"20",y1:"6",y2:"6",key:"1owob3"}],["line",{x1:"4",x2:"20",y1:"18",y2:"18",key:"yk5zj1"}]]);/**
272 * @license lucide-react v0.462.0 - ISC
273 *
274 * This source code is licensed under the ISC license.
275 * See the LICENSE file in the root directory of this source tree.
276 */const bo=Q("MessageSquare",[["path",{d:"M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z",key:"1lielz"}]]);/**
277 * @license lucide-react v0.462.0 - ISC
278 *
279 * This source code is licensed under the ISC license.
280 * See the LICENSE file in the root directory of this source tree.
281 */const FN=Q("Minus",[["path",{d:"M5 12h14",key:"1ays0h"}]]);/**
282 * @license lucide-react v0.462.0 - ISC
283 *
284 * This source code is licensed under the ISC license.
285 * See the LICENSE file in the root directory of this source tree.
286 */const zr=Q("Package",[["path",{d:"M11 21.73a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73z",key:"1a0edw"}],["path",{d:"M12 22V12",key:"d0xqtd"}],["path",{d:"m3.3 7 7.703 4.734a2 2 0 0 0 1.994 0L20.7 7",key:"yx3hmr"}],["path",{d:"m7.5 4.27 9 5.15",key:"1c824w"}]]);/**
287 * @license lucide-react v0.462.0 - ISC
288 *
289 * This source code is licensed under the ISC license.
290 * See the LICENSE file in the root directory of this source tree.
291 */const HN=Q("Plug",[["path",{d:"M12 22v-5",key:"1ega77"}],["path",{d:"M9 8V2",key:"14iosj"}],["path",{d:"M15 8V2",key:"18g5xt"}],["path",{d:"M18 8v5a4 4 0 0 1-4 4h-4a4 4 0 0 1-4-4V8Z",key:"osxo6l"}]]);/**
292 * @license lucide-react v0.462.0 - ISC
293 *
294 * This source code is licensed under the ISC license.
295 * See the LICENSE file in the root directory of this source tree.
296 */const cC=Q("Puzzle",[["path",{d:"M15.39 4.39a1 1 0 0 0 1.68-.474 2.5 2.5 0 1 1 3.014 3.015 1 1 0 0 0-.474 1.68l1.683 1.682a2.414 2.414 0 0 1 0 3.414L19.61 15.39a1 1 0 0 1-1.68-.474 2.5 2.5 0 1 0-3.014 3.015 1 1 0 0 1 .474 1.68l-1.683 1.682a2.414 2.414 0 0 1-3.414 0L8.61 19.61a1 1 0 0 0-1.68.474 2.5 2.5 0 1 1-3.014-3.015 1 1 0 0 0 .474-1.68l-1.683-1.682a2.414 2.414 0 0 1 0-3.414L4.39 8.61a1 1 0 0 1 1.68.474 2.5 2.5 0 1 0 3.014-3.015 1 1 0 0 1-.474-1.68l1.683-1.682a2.414 2.414 0 0 1 3.414 0z",key:"w46dr5"}]]);/**
297 * @license lucide-react v0.462.0 - ISC
298 *
299 * This source code is licensed under the ISC license.
300 * See the LICENSE file in the root directory of this source tree.
301 */const BN=Q("Rocket",[["path",{d:"M4.5 16.5c-1.5 1.26-2 5-2 5s3.74-.5 5-2c.71-.84.7-2.13-.09-2.91a2.18 2.18 0 0 0-2.91-.09z",key:"m3kijz"}],["path",{d:"m12 15-3-3a22 22 0 0 1 2-3.95A12.88 12.88 0 0 1 22 2c0 2.72-.78 7.5-6 11a22.35 22.35 0 0 1-4 2z",key:"1fmvmk"}],["path",{d:"M9 12H4s.55-3.03 2-4c1.62-1.08 5 0 5 0",key:"1f8sc4"}],["path",{d:"M12 15v5s3.03-.55 4-2c1.08-1.62 0-5 0-5",key:"qeys4"}]]);/**
302 * @license lucide-react v0.462.0 - ISC
303 *
304 * This source code is licensed under the ISC license.
305 * See the LICENSE file in the root directory of this source tree.
306 */const sb=Q("Send",[["path",{d:"M14.536 21.686a.5.5 0 0 0 .937-.024l6.5-19a.496.496 0 0 0-.635-.635l-19 6.5a.5.5 0 0 0-.024.937l7.93 3.18a2 2 0 0 1 1.112 1.11z",key:"1ffxy3"}],["path",{d:"m21.854 2.147-10.94 10.939",key:"12cjpa"}]]);/**
307 * @license lucide-react v0.462.0 - ISC
308 *
309 * This source code is licensed under the ISC license.
310 * See the LICENSE file in the root directory of this source tree.
311 */const lb=Q("Settings2",[["path",{d:"M20 7h-9",key:"3s1dr2"}],["path",{d:"M14 17H5",key:"gfn3mx"}],["circle",{cx:"17",cy:"17",r:"3",key:"18b49y"}],["circle",{cx:"7",cy:"7",r:"3",key:"dfmy0x"}]]);/**
312 * @license lucide-react v0.462.0 - ISC
313 *
314 * This source code is licensed under the ISC license.
315 * See the LICENSE file in the root directory of this source tree.
316 */const dC=Q("Share2",[["circle",{cx:"18",cy:"5",r:"3",key:"gq8acd"}],["circle",{cx:"6",cy:"12",r:"3",key:"w7nqdw"}],["circle",{cx:"18",cy:"19",r:"3",key:"1xt0gg"}],["line",{x1:"8.59",x2:"15.42",y1:"13.51",y2:"17.49",key:"47mynk"}],["line",{x1:"15.41",x2:"8.59",y1:"6.51",y2:"10.49",key:"1n3mei"}]]);/**
317 * @license lucide-react v0.462.0 - ISC
318 *
319 * This source code is licensed under the ISC license.
320 * See the LICENSE file in the root directory of this source tree.
321 */const Iu=Q("ShieldCheck",[["path",{d:"M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z",ke

321y:"oel41y"}],["path",{d:"m9 12 2 2 4-4",key:"dzmm74"}]]);/**
322 * @license lucide-react v0.462.0 - ISC
323 *
324 * This source code is licensed under the ISC license.
325 * See the LICENSE file in the root directory of this source tree.
326 */const es=Q("Shield",[["path",{d:"M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z",key:"oel41y"}]]);/**
327 * @license lucide-react v0.462.0 - ISC
328 *
329 * This source code is licensed under the ISC license.
330 * See the LICENSE file in the root directory of this source tree.
331 */const xa=Q("ShoppingBag",[["path",{d:"M6 2 3 6v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2V6l-3-4Z",key:"hou9p0"}],["path",{d:"M3 6h18",key:"d0wm0j"}],["path",{d:"M16 10a4 4 0 0 1-8 0",key:"1ltviw"}]]);/**
332 * @license lucide-react v0.462.0 - ISC
333 *
334 * This source code is licensed under the ISC license.
335 * See the LICENSE file in the root directory of this source tree.
336 */const uC=Q("ShoppingCart",[["circle",{cx:"8",cy:"21",r:"1",key:"jimo8o"}],["circle",{cx:"19",cy:"21",r:"1",key:"13723u"}],["path",{d:"M2.05 2.05h2l2.66 12.42a2 2 0 0 0 2 1.58h9.78a2 2 0 0 0 1.95-1.57l1.65-7.43H5.12",key:"9zh506"}]]);/**
337 * @license lucide-react v0.462.0 - ISC
338 *
339 * This source code is licensed under the ISC license.
340 * See the LICENSE file in the root directory of this source tree.
341 */const wt=Q("Sparkles",[["path",{d:"M9.937 15.5A2 2 0 0 0 8.5 14.063l-6.135-1.582a.5.5 0 0 1 0-.962L8.5 9.936A2 2 0 0 0 9.937 8.5l1.582-6.135a.5.5 0 0 1 .963 0L14.063 8.5A2 2 0 0 0 15.5 9.937l6.135 1.581a.5.5 0 0 1 0 .964L15.5 14.063a2 2 0 0 0-1.437 1.437l-1.582 6.135a.5.5 0 0 1-.963 0z",key:"4pj2yx"}],["path",{d:"M20 3v4",key:"1olli1"}],["path",{d:"M22 5h-4",key:"1gvqau"}],["path",{d:"M4 17v2",key:"vumght"}],["path",{d:"M5 18H3",key:"zchphs"}]]);/**
342 * @license lucide-react v0.462.0 - ISC
343 *
344 * This source code is licensed under the ISC license.
345 * See the LICENSE file in the root directory of this source tree.
346 */const cb=Q("Star",[["path",{d:"M11.525 2.295a.53.53 0 0 1 .95 0l2.31 4.679a2.123 2.123 0 0 0 1.595 1.16l5.166.756a.53.53 0 0 1 .294.904l-3.736 3.638a2.123 2.123 0 0 0-.611 1.878l.882 5.14a.53.53 0 0 1-.771.56l-4.618-2.428a2.122 2.122 0 0 0-1.973 0L6.396 21.01a.53.53 0 0 1-.77-.56l.881-5.139a2.122 2.122 0 0 0-.611-1.879L2.16 9.795a.53.53 0 0 1 .294-.906l5.165-.755a2.122 2.122 0 0 0 1.597-1.16z",key:"r04s7s"}]]);/**
347 * @license lucide-react v0.462.0 - ISC
348 *
349 * This source code is licensed under the ISC license.
350 * See the LICENSE file in the root directory of this source tree.
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352 * @license lucide-react v0.462.0 - ISC
353 *
354 * This source code is licensed under the ISC license.
355 * See the LICENSE file in the root directory of this source tree.
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357 * @license lucide-react v0.462.0 - ISC
358 *
359 * This source code is licensed under the ISC license.
360 * See the LICENSE file in the root directory of this source tree.
361 */const $N=Q("TestTube",[["path",{d:"M14.5 2v17.5c0 1.4-1.1 2.5-2.5 2.5c-1.4 0-2.5-1.1-2.5-2.5V2",key:"125lnx"}],["path",{d:"M8.5 2h7",key:"csnxdl"}],["path",{d:"M14.5 16h-5",key:"1ox875"}]]);/**
362 * @license lucide-react v0.462.0 - ISC
363 *
364 * This source code is licensed under the ISC license.
365 * See the LICENSE file in the root directory of this source tree.
366 */const pi=Q("TrendingUp",[["polyline",{points:"22 7 13.5 15.5 8.5 10.5 2 17",key:"126l90"}],["polyline",{points:"16 7 22 7 22 13",key:"kwv8wd"}]]);/**
367 * @license lucide-react v0.462.0 - ISC
368 *
369 * This source code is licensed under the ISC license.
370 * See the LICENSE file in the root directory of this source tree.
371 */const km=Q("Upload",[["path",{d:"M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4",key:"ih7n3h"}],["polyline",{points:"17 8 12 3 7 8",key:"t8dd8p"}],["line",{x1:"12",x2:"12",y1:"3",y2:"15",key:"widbto"}]]);/**
372 * @license lucide-react v0.462.0 - ISC
373 *
374 * This source code is licensed under the ISC license.
375 * See the LICENSE file in the root directory of this source tree.
376 */const KN=Q("UserCheck",[["path",{d:"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2",key:"1yyitq"}],["circle",{cx:"9",cy:"7",r:"4",key:"nufk8"}

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377 * @license lucide-react v0.462.0 - ISC
378 *
379 * This source code is licensed under the ISC license.
380 * See the LICENSE file in the root directory of this source tree.
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382 * @license lucide-react v0.462.0 - ISC
383 *
384 * This source code is licensed under the ISC license.
385 * See the LICENSE file in the root directory of this source tree.
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387 * @license lucide-react v0.462.0 - ISC
388 *
389 * This source code is licensed under the ISC license.
390 * See the LICENSE file in the root directory of this source tree.
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392 * @license lucide-react v0.462.0 - ISC
393 *
394 * This source code is licensed under the ISC license.
395 * See the LICENSE file in the root directory of this source tree.
396 */const Pg=Q("Wallet",[["path",{d:"M19 7V4a1 1 0 0 0-1-1H5a2 2 0 0 0 0 4h15a1 1 0 0 1 1 1v4h-3a2 2 0 0 0 0 4h3a1 1 0 0 0 1-1v-2a1 1 0 0 0-1-1",key:"18etb6"}],["path",{d:"M3 5v14a2 2 0 0 0 2 2h15a1 1 0 0 0 1-1v-4",key:"xoc0q4"}]]);/**
397 * @license lucide-react v0.462.0 - ISC
398 *
399 * This source code is licensed under the ISC license.
400 * See the LICENSE file in the root directory of this source tree.
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402 * @license lucide-react v0.462.0 - ISC
403 *
404 * This source code is licensed under the ISC license.
405 * See the LICENSE file in the root directory of this source tree.
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R(this,Za).get(t)}getAll(){return[...R(this,Za).values()]}find(t){const a={exact:!0,...t};return this.getAll().find(n=>Ab(a,n))}findAll(t={}){const a=this.getAll();return Object.keys(t).length>0?a.filter(n=>Ab(t,n)):a}notify(t){Rt.batch(()=>{this.listeners.forEach(a=>{a(t)})})}onFocus(){Rt.batch(()=>{this.getAll().forEach(t=>{t.onFocus()})})}onOnline(){Rt.batch(()=>{this.getAll().forEach(t=>{t.onOnline()})})}},Za=new WeakMap,hx),Xa,Et,io,en,Vn,px,mD=(px=class extends lS{constructor(t){super();je(this,en);je(this,Xa);je(this,Et);je(this,io);this.mutationId=t.mutationId,fe(this,Et,t.mutationCache),fe(this,Xa,[]),this.state=t.state||fD(),this.setOptions(t.options),this.scheduleGc()}setOptions(t){this.options=t,this.updateGcTime(this.options.gcTime)}get meta(){return this.options.meta}addObserver(t){R(this,Xa).includes(t)||(R(this,Xa).push(t),this.clearGcTimeout(),R(this,Et).notify({type:"observerAdded",mutation:this,observer:t}))}removeObserver(t){fe(this,Xa,R(this,Xa).filter(a=>a!==t)),this.scheduleGc(),R(this,Et).notify({type:"observerRemoved",mutation:this,observer:t})}optionalRemove(){R(this,Xa).length||(this.state.status==="pending"?this.scheduleGc():R(this,Et).remove(this))}continue(){var t;return((t=R(this,io))==null?void 0:t.continue())??this.execute(this.state.variables)}async execute(t){var o,s,l,c,d,u,h,m,p,b,g,v,w,y,x,k,C,S,A,P;const a=()=>{At(this,en,Vn).call(this,{type:"continue"})};fe(this,io,sS({fn:()=>this.options.mutationFn?this.options.mutationFn(t):Promise.reject(new Error("No mutationFn 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0:b.call(p,I,null,this.state.variables,this.state.context,this)),await((v=(g=this.options).onSettled)==null?void 0:v.call(g,I,null,t,this.state.context)),At(this,en,Vn).call(this,{type:"success",data:I}),I}catch(I){try{throw await((y=(w=R(this,Et).config).onError)==null?void 0:y.call(w,I,t,this.state.context,this)),await((k=(x=this.options).onError)==null?void 0:k.call(x,I,t,this.state.context)),await((S=(C=R(this,Et).config).onSettled)==null?void 0:S.call(C,void 0,I,this.state.variables,this.state.context,this)),await((P=(A=this.options).onSettled)==null?void 0:P.call(A,void 0,I,t,this.state.context)),I}finally{At(this,en,Vn).call(this,{type:"error",error:I})}}finally{R(this,Et).runNext(this)}}},Xa=new WeakMap,Et=new WeakMap,io=new WeakMap,en=new WeakSet,Vn=function(t){const a=n=>{switch(t.type){case"failed":return{...n,failureCount:t.failureCount,failureReason:t.error};case"pause":return{...n,isPaused:!0};case"continue":return{...n,isPaused:!1};case"pending":return{...n,context:t.context,data:void 0,failureCount:0,failureReason:null,error:null,isPaused:t.isPaused,status:"pending",variables:t.variables,submittedAt:Date.now()};case"success":return{...n,data:t.data,failureCount:0,failureReason:null,error:null,status:"success",isPaused:!1};case"error":return{...n,data:void 0,error:t.error,failureCount:n.failureCount+1,failureReason:t.error,isPaused:!1,status:"error"}}};this.state=a(this.state),Rt.batch(()=>{R(this,Xa).forEach(n=>{n.onMutationUpdate(t)}),R(this,Et).notify({mutation:this,type:"updated",action:t})})},px);function fD(){return{context:void 0,data:void 0,error:null,failureCount:0,failureReason:null,isPaused:!1,status:"idle",variables:void 0,submittedAt:0}}var bn,qa,Ol,mx,gD=(mx=class extends Du{constructor(t={}){super();je(this,bn);je(this,qa);je(this,Ol);this.config=t,fe(this,bn,new Set),fe(this,qa,new Map),fe(this,Ol,0)}build(t,a,n){const r=new mD({mutationCache:this,mutationId:++nc(this,Ol)._,options:t.defaultMutationOptions(a),state:n});return this.add(r),r}add(t){R(this,bn).add(t);const a=Ac(t);if(typeof a=="string"){const n=R(this,qa).get(a);n?n.push(t):R(this,qa).set(a,[t])}this.notify({type:"added",mutation:t})}remove(t){if(R(this,bn).delete(t)){const a=Ac(t);if(typeof a=="string"){const n=R(this,qa).get(a);if(n)if(n.length>1){const r=n.indexOf(t);r!==-1&&n.splice(r,1)}else n[0]===t&&R(this,qa).delete(a)}}this.notify({type:"removed",mutation:t})}canRun(t){const a=Ac(t);if(typeof a=="string"){const n=R(this,qa).get(a),r=n==null?void 0:n.find(o=>o.state.status==="pending");return!r||r===t}else return!0}runNext(t){var n;const a=Ac(t);if(typeof a=="string"){const r=(n=R(this,qa).get(a))==null?void 0:n.find(o=>o!==t&&o.state.isPaused);return(r==null?void 0:r.continue())??Promise.resolve()}else return Promise.resolve()}clear(){Rt.batch(()=>{R(this,bn).forEach(t=>{this.notify({type:"removed",mutation:t})}),R(this,bn).clear(),R(this,qa).clear()})}getAll(){return Array.from(R(this,bn))}find(t){const a={exact:!0,...t};return this.getAll().find(n=>Pb(a,n))}findAll(t={}){return this.getAll().filter(a=>Pb(t,a))}notify(t){Rt.batch(()=>{this.listeners.forEach(a=>{a(t)})})}resumePausedMutations(){const t=this.getAll().filter(a=>a.state.isPaused);return Rt.batch(()=>Promise.all(t.map(a=>a.continue().catch(Ra))))}},bn=new WeakMap,qa=new WeakMap,Ol=new WeakMap,mx);function Ac(e){var t;return(t=e.options.scope)==null?void 0:t.id}function jb(e){return{onFetch:(t,a)=>{var u,h,m,p,b;const n=t.options,r=(m=(h=(u=t.fetchOptions)==null?void 0:u.meta)==null?void 0:h.fetchMore)==null?void 0:m.direction,o=((p=t.state.data)==null?void 0:p.pages)||[],s=((b=t.state.data)==null?void 0:b.pageParams)||[];let l={pages:[],pageParams:[]},c=0;const d=async()=>{let g=!1;const v=x=>{Object.defineProperty(x,"signal",{enumerable:!0,get:()=>(t.signal.aborted?g=!0:t.signal.addEventListener("abort",()=>{g=!0}),t.signal)})},w=nS(t.options,t.fetchOptions),y=async(x,k,C)=>{if(g)return Promise.reject();if(k==null&&x.pages.length)return Promise.resolve(x);const A=(()=>{const V={client:t.client,queryKey:t.queryKey,pageParam:k,direction:C?"backward":"forward",meta:t.options.meta};return v(V),V})(),P=await w(A),{maxPages:I}=t.options,N=C?nD:aD;return{pages:N(x.pages,P,I),pageParams:N(x.pageParams,k,I)}};if(r&&o.length){const x=r==="backward",k=x?yD:Nb,C={pages:o,pageParams:s},S=k(n,C);l=await y(C,S,x)}else{const x=e??o.length;do{const k=c===0?s[0]??n.initialPageParam:Nb(n,l);if(c>0&&k==null)break;l=await y(l,k),c++}while(c<x)}return l};t.options.persister?t.fetchFn=()=>{var g,v;return(v=(g=t.options).persister)==null?void 0:v.call(g,d,{client:t.client,queryKey:t.queryKey,meta:t.options.meta,signal:t.signal},a)}:t.fetchFn=d}}}function Nb(e,{pages:t,pageParams:a}){const n=t.length-1;return t.length>0?e.getNextPageParam(t[n],t,a[n],a):void 0}function yD(e,{pages:t,pageParams:a}){var n;return t.length>0?(n=e.getPreviousPageParam)==null?void 0:n.call(e,t[0],t,a[0],a):void 0}var Ke,ar,nr,Ni,Ei,rr,zi,Ri,fx,vD=(fx=class{constructor(e={}){je(this,Ke);je(this,ar);je(this,nr);je(this,Ni);je(this,Ei);je(this,rr);je(this,zi);je(this,Ri);fe(this,Ke,e.queryCache||new pD),fe(this,ar,e.mutationCache||new gD),fe(this,nr,e.defaultOptions||{}),fe(this,Ni,new Map),fe(this,Ei,new Map),fe(this,rr,0)}mount(){nc(this,rr)._++,R(this,rr)===1&&(fe(this,zi,rS.subscribe(async e=>{e&&(await this.resumePausedMutations(),R(this,Ke).onFocus())})),fe(this,Ri,Ld.subscribe(async e=>{e&&(await this.resumePausedMutations(),R(this,Ke).onOnline())})))}unmount(){var e,t;nc(this,rr)._--,R(this,rr)===0&&((e=R(this,zi))==null||e.call(this),fe(this,zi,void 0),(t=R(this,Ri))==null||t.call(this),fe(this,Ri,void 0))}isFetching(e){return R(this,Ke).findAll({...e,fetchStatus:"fetching"}).length}isMutating(e){return R(this,ar).findAll({...e,status:"pending"}).length}getQueryData(e){var a;const t=this.defaultQueryOptions({queryKey:e});return(a=R(this,Ke).get(t.queryHash))==null?void 0:a.state.data}ensureQueryData(e){const t=this.defaultQueryOptions(e),a=R(this,Ke).build(this,t),n=a.state.data;return n===void 0?this.fetchQuery(e):(e.revalidateIfStale&&a.isStaleByTime(Nm(t.staleTime,a))&&this.prefetchQuery(t),Promise.resolve(n))}getQueriesData(e){return R(this,Ke).findAll(e).map(({queryKey:t,state:a})=>{const n=a.data;return[t,n]})}setQueryData(e,t,a){const n=this.defaultQueryOptions({queryKey:e}),r=R(this,Ke).get(n.queryHash),o=r==null?void 0:r.state.data,s=JR(t,o);if(s!==void 0)return R(this,Ke).build(this,n).setData(s,{...a,manual:!0})}

407setQueriesData(e,t,a){return Rt.batch(()=>R(this,Ke).findAll(e).map(({queryKey:n})=>[n,this.setQueryData(n,t,a)]))}getQueryState(e){var a;const t=this.defaultQueryOptions({queryKey:e});return(a=R(this,Ke).get(t.queryHash))==null?void 0:a.state}removeQueries(e){const t=R(this,Ke);Rt.batch(()=>{t.findAll(e).forEach(a=>{t.remove(a)})})}resetQueries(e,t){const a=R(this,Ke);return Rt.batch(()=>(a.findAll(e).forEach(n=>{n.reset()}),this.refetchQueries({type:"active",...e},t)))}cancelQueries(e,t={}){const a={revert:!0,...t},n=Rt.batch(()=>R(this,Ke).findAll(e).map(r=>r.cancel(a)));return Promise.all(n).then(Ra).catch(Ra)}invalidateQueries(e,t={}){return Rt.batch(()=>(R(this,Ke).findAll(e).forEach(a=>{a.invalidate()}),(e==null?void 0:e.refetchType)==="none"?Promise.resolve():this.refetchQueries({...e,type:(e==null?void 0:e.refetchType)??(e==null?void 0:e.type)??"active"},t)))}refetchQueries(e,t={}){const a={...t,cancelRefetch:t.cancelRefetch??!0},n=Rt.batch(()=>R(this,Ke).findAll(e).filter(r=>!r.isDisabled()&&!r.isStatic()).map(r=>{let o=r.fetch(void 0,a);return a.throwOnError||(o=o.catch(Ra)),r.state.fetchStatus==="paused"?Promise.resolve():o}));return Promise.all(n).then(Ra)}fetchQuery(e){const t=this.defaultQueryOptions(e);t.retry===void 0&&(t.retry=!1);const a=R(this,Ke).build(this,t);return a.isStaleByTime(Nm(t.staleTime,a))?a.fetch(t):Promise.resolve(a.state.data)}prefetchQuery(e){return this.fetchQuery(e).then(Ra).catch(Ra)}fetchInfiniteQuery(e){return e.behavior=jb(e.pages),this.fetchQuery(e)}prefetchInfiniteQuery(e){return this.fetchInfiniteQuery(e).then(Ra).catch(Ra)}ensureInfiniteQueryData(e){return e.behavior=jb(e.pages),this.ensureQueryData(e)}resumePausedMutations(){return Ld.isOnline()?R(this,ar).resumePausedMutations():Promise.resolve()}getQueryCache(){return R(this,Ke)}getMutationCache(){return R(this,ar)}getDefaultOptions(){return R(this,nr)}setDefaultOptions(e){fe(this,nr,e)}setQueryDefaults(e,t){R(this,Ni).set(wl(e),{queryKey:e,defaultOptions:t})}getQueryDefaults(e){const t=[...R(this,Ni).values()],a={};return t.forEach(n=>{xl(e,n.queryKey)&&Object.assign(a,n.defaultOptions)}),a}setMutationDefaults(e,t){R(this,Ei).set(wl(e),{mutationKey:e,defaultOptions:t})}getMutationDefaults(e){const t=[...R(this,Ei).values()],a={};return t.forEach(n=>{xl(e,n.mutationKey)&&Object.assign(a,n.defaultOptions)}),a}defaultQueryOptions(e){if(e._defaulted)return e;const t={...R(this,nr).queries,...this.getQueryDefaults(e.queryKey),...e,_defaulted:!0};return t.queryHash||(t.queryHash=Vg(t.queryKey,t)),t.refetchOnReconnect===void 0&&(t.refetchOnReconnect=t.networkMode!=="always"),t.throwOnError===void 0&&(t.throwOnError=!!t.suspense),!t.networkMode&&t.persister&&(t.networkMode="offlineFirst"),t.queryFn===Wg&&(t.enabled=!1),t}defaultMutationOptions(e){return e!=null&&e._defaulted?e:{...R(this,nr).mutations,...(e==null?void 0:e.mutationKey)&&this.getMutationDefaults(e.mutationKey),...e,_defaulted:!0}}clear(){R(this,Ke).clear(),R(this,ar).clear()}},Ke=new WeakMap,ar=new WeakMap,nr=new WeakMap,Ni=new WeakMap,Ei=new WeakMap,rr=new WeakMap,zi=new WeakMap,Ri=new WeakMap,fx),bD=f.createContext(void 0),wD=({client:e,children:t})=>(f.useEffect(()=>(e.mount(),()=>{e.unmount()}),[e]),i.jsx(bD.Provider,{value:e,children:t}));/**
408 * @remix-run/router v1.23.0
409 *
410 * Copyright (c) Remix Software Inc.
411 *
412 * This source code is licensed under the MIT license found in the
413 * LICENSE.md file in the root directory of this source tree.
414 *
415 * @license MIT
416 */function kl(){return kl=Object.assign?Object.assign.bind():function(e){for(var t=1;t<arguments.length;t++){var a=arguments[t];for(var n in a)Object.prototype.hasOwnProperty.call(a,n)&&(e[n]=a[n])}return e},kl.apply(this,arguments)}var sr;(function(e){e.Pop="POP",e.Push="PUSH",e.Replace="REPLACE"})(sr||(sr={}));const Eb="popstate";function xD(e){e===void 0&&(e={});function t(n,r){let{pathname:o,search:s,hash:l}=n.location;return zm("",{pathname:o,search:s,hash:l},r.state&&r.state.usr||null,r.state&&r.state.key||"default")}function a(n,r){return typeof r=="string"?r:Od(r)}return CD(t,a,null,e)}function nt(e,t){if(e===!1||e===null||typeof e>"u")throw new Error(t)}function cS(e,t){if(!e){typeof console<"u"&&console.warn(t);try{throw new Error(t)}catch{}}}function kD(){return Math.random().toString(36).substr(2,8)}function zb(e,t){return{usr:e.state,key:e.key,idx:t}}function zm(e,t,a,n){return a===void 0&&(a=null),kl({pathname:typeof e=="string"?e:e.pathname,search:"",hash:""},typeof t=="string"?os(t):t,{state:a,key:t&&t.key||n||kD()})}function Od(e){let{pathname:t="/",search:a="",hash:n=""}=e;return a&&a!=="?"&&(t+=a.charAt(0)==="?"?a:"?"+a),n&&n!=="#"&&(t+=n.charAt(0)==="#"?n:"#"+n),t}function os(e){let t={};if(e){let a=e.indexOf("#");a>=0&&(t.hash=e.substr(a),e=e.substr(0,a));let n=e.indexOf("?");n>=0&&(t.search=e.substr(n),e=e.substr(0,n)),e&&(t.pathname=e)}return t}function CD(e,t,a,n){n===void 0&&(n={});let{window:r=document.defaultView,v5Compat:o=!1}=n,s=r.history,l=sr.Pop,c=null,d=u();d==null&&(d=0,s.replaceState(kl({},s.state,{idx:d}),""));function u(){return(s.state||{idx:null}).idx}function h(){l=sr.Pop;

416let v=u(),w=v==null?null:v-d;d=v,c&&c({action:l,location:g.location,delta:w})}function m(v,w){l=sr.Push;let y=zm(g.location,v,w);d=u()+1;let x=zb(y,d),k=g.createHref(y);try{s.pushState(x,"",k)}catch(C){if(C instanceof DOMException&&C.name==="DataCloneError")throw C;r.location.assign(k)}o&&c&&c({action:l,location:g.location,delta:1})}function p(v,w){l=sr.Replace;let y=zm(g.location,v,w);d=u();let x=zb(y,d),k=g.createHref(y);s.replaceState(x,"",k),o&&c&&c({action:l,location:g.location,delta:0})}function b(v){let w=r.location.origin!=="null"?r.location.origin:r.location.href,y=typeof v=="string"?v:Od(v);return y=y.replace(/ $/,"%20"),nt(w,"No window.location.(origin|href) available to create URL for href: "+y),new URL(y,w)}let g={get action(){return l},get location(){return e(r,s)},listen(v){if(c)throw new Error("A history only accepts one active listener");return r.addEventListener(Eb,h),c=v,()=>{r.removeEventListener(Eb,h),c=null}},createHref(v){return t(r,v)},createURL:b,encodeLocation(v){let w=b(v);return{pathname:w.pathname,search:w.search,hash:w.hash}},push:m,replace:p,go(v){return s.go(v)}};return g}var Rb;(function(e){e.data="data",e.deferred="deferred",e.redirect="redirect",e.error="error"})(Rb||(Rb={}));function SD(e,t,a){return a===void 0&&(a="/"),AD(e,t,a,!1)}function AD(e,t,a,n){let r=typeof t=="string"?os(t):t,o=$g(r.pathname||"/",a);if(o==null)return null;let s=dS(e);PD(s);let l=null;for(let c=0;l==null&&c<s.length;++c){let d=UD(o);l=_D(s[c],d,n)}return l}function dS(e,t,a,n){t===void 0&&(t=[]),a===void 0&&(a=[]),n===void 0&&(n="");let r=(o,s,l)=>{let c={relativePath:l===void 0?o.path||"":l,caseSensitive:o.caseSensitive===!0,childrenIndex:s,route:o};c.relativePath.startsWith("/")&&(nt(c.relativePath.startsWith(n),'Absolute route path "'+c.relativePath+'" nested under path '+('"'+n+'" is not valid. An absolute child route path ')+"must start with the combined path of all its parent routes."),c.relativePath=c.relativePath.slice(n.length));let d=yr([n,c.relativePath]),u=a.concat(c);o.children&&o.children.length>0&&(nt(o.index!==!0,"Index routes must not have child routes. Please remove "+('all child routes from route path "'+d+'".')),dS(o.children,t,u,d)),!(o.path==null&&!o.index)&&t.push({path:d,score:RD(d,o.index),routesMeta:u})};return e.forEach((o,s)=>{var l;if(o.path===""||!((l=o.path)!=null&&l.includes("?")))r(o,s);else for(let c of uS(o.path))r(o,s,c)}),t}function uS(e){let t=e.split("/");if(t.length===0)return[];let[a,...n]=t,r=a.endsWith("?"),o=a.replace(/\?$/,"");if(n.length===0)return r?[o,""]:[o];let s=uS(n.join("/")),l=[];return l.push(...s.map(c=>c===""?o:[o,c].join("/"))),r&&l.push(...s),l.map(c=>e.startsWith("/")&&c===""?"/":c)}function PD(e){e.sort((t,a)=>t.score!==a.score?a.score-t.score:DD(t.routesMeta.map(n=>n.childrenIndex),a.routesMeta.map(n=>n.childrenIndex)))}const TD=/^:[\w-]+$/,ID=3,jD=2,ND=1,ED=10,zD=-2,Db=e=>e==="*";function RD(e,t){let a=e.split("/"),n=a.length;return a.some(Db)&&(n+=zD),t&&(n+=jD),a.filter(r=>!Db(r)).reduce((r,o)=>r+(TD.test(o)?ID:o===""?ND:ED),n)}function DD(e,t){return e.length===t.length&&e.slice(0,-1).every((n,r)=>n===t[r])?e[e.length-1]-t[t.length-1]:0}function _D(e,t,a){let{routesMeta:n}=e,r={},o="/",s=[];for(let l=0;l<n.length;++l){let c=n[l],d=l===n.length-1,u=o==="/"?t:t.slice(o.length)||"/",h=_b({path:c.relativePath,caseSensitive:c.caseSensitive,end:d},u),m=c.route;if(!h&&d&&a&&!n[n.length-1].route.index&&(h=_b({path:c.relativePath,caseSensitive:c.caseSensitive,end:!1},u)),!h)return null;

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417 * React Router v6.30.1
418 *
419 * Copyright (c) Remix Software Inc.
420 *
421 * This source code is licensed under the MIT license found in the
422 * LICENSE.md file in the root directory of this source tree.
423 *
424 * @license MIT
425 */function Cl(){return Cl=Object.assign?Object.assign.bind():function(e){for(var t=1;t<arguments.length;t++){var a=arguments[t];for(var n in a)Object.prototype.hasOwnProperty.call(a,n)&&(e[n]=a[n])}return e},Cl.apply(this,arguments)}const Jg=f.createContext(null),WD=f.createContext(null),Rr=f.createContext(null),Ql=f.createContext(null),Rn=f.createContext({outlet:null,matches:[],isDataRoute:!1}),pS=f.createContext(null);function $D(e,t){let{relative:a}=t===void 0?{}:t;is()||nt(!1);let{basename:n,navigator:r}=f.useContext(Rr),{hash:o,pathname:s,search:l}=fS(e,{relative:a}),c=s;return n!=="/"&&(c=s==="/"?n:yr([n,s])),r.createHref({pathname:c,search:l,hash:o})}function is(){return f.useContext(Ql)!=null}function Wa(){return is()||nt(!1),f.useContext(Ql).location}function KD(){return f.useContext(Ql).navigationType}function mS(e){f.useContext(Rr).static||f.useLayoutEffect(e)}function qu(){let{isDataRoute:e}=f.useContext(Rn);return e?s_():YD()}function YD(){is()||nt(!1);let e=f.useContext(Jg),{basename:t,future:a,navigator:n}=f.useContext(Rr),{matches:r}=f.useContext(Rn),{pathname:o}=Wa(),s=JSON.stringify(Kg(r,a.v7_relativeSplatPath)),l=f.useRef(!1);return mS(()=>{l.current=!0}),f.useCallback(function(d,u){if(u===void 0&&(u={}),!l.current)return;if(typeof d=="number"){n.go(d);return}let h=Yg(d,JSON.parse(s),o,u.relative==="path");e==null&&t!=="/"&&(h.pathname=h.pathname==="/"?t:yr([t,h.pathname])),(u.replace?n.replace:n.push)(h,u.state,u)},[t,n,s,o,e])}function Uu(){let{matches:e}=f.useContext(Rn),t=e[e.length-1];return t?t.params:{}}function fS(e,t){let{relative:a}=t===void 0?{}:t,{future:n}=f.useContext(Rr),{matches:r}=f.useContext(Rn),{pathname:o}=Wa(),s=JSON.stringify(Kg(r,n.v7_relativeSplatPath));return f.useMemo(()=>Yg(e,JSON.parse(s),o,a==="path"),[e,s,o,a])}function JD(e,t){return QD(e,t)}function QD(e,t,a,n){is()||nt(!1);let{navigator:r}=f.useContext(Rr),{matches:o}=f.useContext(Rn),s=o[o.length-1],l=s?s.params:{};s&&s.pathname;let c=s?s.pathnameBase:"/";s&&s.route;let d=Wa(),u;if(t){var h;let v=typeof t=="string"?os(t):t;c==="/"||(h=v.pathname)!=null&&h.startsWith(c)||nt(!1),u=v}else u=d;let m=u.pathname||"/",p=m;if(c!=="/"){let v=c.replace(/^\//,"").split("/");p="/"+m.replace(/^\//,"").split("/").slice(v.length).join("/")}let b=SD(e,{pathname:p}),g=a_(b&&b.map(v=>Object.assign({},v,{params:Object.assign({},l,v.params),pathname:yr([c,r.encodeLocation?r.encodeLocation(v.pathname).pathname:v.pathname]),pathnameBase:v.pathnameBase==="/"?c:yr([c,r.encodeLocation?r.encodeLocation(v.pathnameBase).pathname:v.pathnameBase])})),o,a,n);return t&&g?f.createElement(Ql.Provider,{value:{location:Cl({pathname:"/",search:"",hash:"",state:null,key:"default"},u),navigationType:sr.Pop}},g):g}function ZD(){let e=i_(),t=BD(e)?e.status+" "+e.statusText:e instanceof Error?e.message:JSON.stringify(e),a=e instanceof Error?e.stack:null,r={padding:"0.5rem",backgroundColor:"rgba(200,200,200, 0.5)"};return f.createElement(f.Fragment,null,f.createElement("h2",null,"Unexpected Application 

425Error!"),f.createElement("h3",{style:{fontStyle:"italic"}},t),a?f.createElement("pre",{style:r},a):null,null)}const XD=f.createElement(ZD,null);class e_ extends f.Component{constructor(t){super(t),this.state={location:t.location,revalidation:t.revalidation,error:t.error}}static getDerivedStateFromError(t){return{error:t}}static getDerivedStateFromProps(t,a){return a.location!==t.location||a.revalidation!=="idle"&&t.revalidation==="idle"?{error:t.error,location:t.location,revalidation:t.revalidation}:{error:t.error!==void 0?t.error:a.error,location:a.location,revalidation:t.revalidation||a.revalidation}}componentDidCatch(t,a){console.error("React Router caught the following error during render",t,a)}render(){return this.state.error!==void 0?f.createElement(Rn.Provider,{value:this.props.routeContext},f.createElement(pS.Provider,{value:this.state.error,children:this.props.component})):this.props.children}}function t_(e){let{routeContext:t,match:a,children:n}=e,r=f.useContext(Jg);return r&&r.static&&r.staticContext&&(a.route.errorElement||a.route.ErrorBoundary)&&(r.staticContext._deepestRenderedBoundaryId=a.route.id),f.createElement(Rn.Provider,{value:t},n)}function a_(e,t,a,n){var r;if(t===void 0&&(t=[]),a===void 0&&(a=null),n===void 0&&(n=null),e==null){var o;if(!a)return null;if(a.errors)e=a.matches;else if((o=n)!=null&&o.v7_partialHydration&&t.length===0&&!a.initialized&&a.matches.length>0)e=a.matches;else return null}let s=e,l=(r=a)==null?void 0:r.errors;if(l!=null){let u=s.findIndex(h=>h.route.id&&(l==null?void 0:l[h.route.id])!==void 0);u>=0||nt(!1),s=s.slice(0,Math.min(s.length,u+1))}let c=!1,d=-1;if(a&&n&&n.v7_partialHydration)for(let u=0;u<s.length;u++){let h=s[u];if((h.route.HydrateFallback||h.route.hydrateFallbackElement)&&(d=u),h.route.id){let{loaderData:m,errors:p}=a,b=h.route.loader&&m[h.route.id]===void 0&&(!p||p[h.route.id]===void 0);if(h.route.lazy||b){c=!0,d>=0?s=s.slice(0,d+1):s=[s[0]];break}}}return s.reduceRight((u,h,m)=>{let p,b=!1,g=null,v=null;a&&(p=l&&h.route.id?l[h.route.id]:void 0,g=h.route.errorElement||XD,c&&(d<0&&m===0?(b=!0,v=null):d===m&&(b=!0,v=h.route.hydrateFallbackElement||null)));let w=t.concat(s.slice(0,m+1)),y=()=>{let x;return p?x=g:b?x=v:h.route.Component?x=f.createElement(h.route.Component,null):h.route.element?x=h.route.element:x=u,f.createElement(t_,{match:h,routeContext:{outlet:u,matches:w,isDataRoute:a!=null},children:x})};return a&&(h.route.ErrorBoundary||h.route.errorElement||m===0)?f.createElement(e_,{location:a.location,revalidation:a.revalidation,component:g,error:p,children:y(),routeC

425ontext:{outlet:null,matches:w,isDataRoute:!0}}):y()},null)}var gS=function(e){return e.UseBlocker="useBlocker",e.UseRevalidator="useRevalidator",e.UseNavigateStable="useNavigate",e}(gS||{}),Gd=function(e){return e.UseBlocker="useBlocker",e.UseLoaderData="useLoaderData",e.UseActionData="useActionData",e.UseRouteError="useRouteError",e.UseNavigation="useNavigation",e.UseRouteLoaderData="useRouteLoaderData",e.UseMatches="useMatches",e.UseRevalidator="useRevalidator",e.UseNavigateStable="useNavigate",e.UseRouteId="useRouteId",e}(Gd||{});function n_(e){let t=f.useContext(Jg);return t||nt(!1),t}function r_(e){let t=f.useContext(WD);return t||nt(!1),t}function o_(e){let t=f.useContext(Rn);return t||nt(!1),t}function yS(e){let t=o_(),a=t.matches[t.matches.length-1];return a.route.id||nt(!1),a.route.id}function i_(){var e;let t=f.useContext(pS),a=r_(Gd.UseRouteError),n=yS(Gd.UseRouteError);return t!==void 0?t:(e=a.errors)==null?void 0:e[n]}function s_(){let{router:e}=n_(gS.UseNavigateStable),t=yS(Gd.UseNavigateStable),a=f.useRef(!1);return mS(()=>{a.current=!0}),f.useCallback(function(r,o){o===void 0&&(o={}),a.current&&(typeof r=="number"?e.navigate(r):e.navigate(r,Cl({fromRouteId:t},o)))},[e,t])}function l_(e,t){e==null||e.v7_startTransition,e==null||e.v7_relativeSplatPath}function Xr(e){let{to:t,replace:a,state:n,relative:r}=e;is()||nt(!1);let{future:o,static:s}=f.useContext(Rr),{matches:l}=f.useContext(Rn),{pathname:c}=Wa(),d=qu(),u=Yg(t,Kg(l,o.v7_relativeSplatPath),c,r==="path"),h=JSON.stringify(u);return f.useEffect(()=>d(JSON.parse(h),{replace:a,state:n,relative:r}),[d,h,r,a,n]),null}function oe(e){nt(!1)}function c_(e){let{basename:t="/",children:a=null,location:n,navigationType:r=sr.Pop,navigator:o,static:s=!1,future:l}=e;is()&&nt(!1);let c=t.replace(/^\/*/,"/"),d=f.useMemo(()=>({basename:c,navigator:o,static:s,future:Cl({v7_relativeSplatPath:!1},l)}),[c,l,o,s]);typeof n=="string"&&(n=os(n));let{pathname:u="/",search:h="",hash:m="",state:p=null,key:b="default"}=n,g=f.useMemo(()=>{let v=$g(u,c);return v==null?null:{location:{pathname:v,search:h,hash:m,state:p,key:b},navigationType:r}},[c,u,h,m,p,b,r]);return g==null?null:f.createElement(Rr.Provider,{value:d},f.createElement(Ql.Provider,{children:a,value:g}))}function d_(e){let{children:t,location:a}=e;return JD(Rm(t),a)}new Promise(()=>{});function Rm(e,t){t===void 0&&(t=[]);let a=[];return f.Children.forEach(e,(n,r)=>{if(!f.isValidElement(n))return;let o=[...t,r];if(n.type===f.Fragment){a.push.apply(a,Rm(n.props.children,o));return}n.type!==oe&&nt(!1),!n.props.index||!n.props.children||nt(!1);let s={id:n.props.id||o.join("-"),caseSensitive:n.props.caseSensitive,element:n.props.element,Component:n.props.Component,index:n.props.index,path:n.props.path,loader:n.props.loader,action:n.props.action,errorElement:n.props.errorElement,ErrorBoundary:n.props.ErrorBoundary,hasErrorBoundary:n.props.ErrorBoundary!=null||n.props.errorElement!=null,shouldRevalidate:n.props.shouldRevalidate,handle:n.props.handle,lazy:n.props.lazy};n.props.children&&(s.children=Rm(n.props.children,o)),a.push(s)}),a}/**
426 * React Router DOM v6.30.1
427 *
428 * Copyright (c) Remix Software Inc.
429 *
430 * This source code is licensed under the MIT license found in the
431 * LICENSE.md file in the root directory of this source tree.
432 *
433 * @license MIT
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437`]).forEach(([p,b])=>{c.searchParams.append(p,b)})):(l="POST",d=a);const m=new Headers(this.headers);return h?m.set("Prefer",o?`count=${o},return=minimal`:"return=minimal"):o&&m.set("Prefer",`count=${o}`),new Qo({method:l,url:c,headers:m,schema:this.schemaName,body:d,fetch:(s=this.fetch)!==null&&s!==void 0?s:fetch,urlLengthLimit:this.urlLengthLimit})}};class X_{constructor(){}static detectEnvironment(){var t;if(typeof WebSocket<"u")return{type:"native",constructor:WebSocket};if(typeof globalThis<"u"&&typeof globalThis.WebSocket<"u")return{type:"native",constructor:globalThis.WebSocket};if(typeof global<"u"&&typeof global.WebSocket<"u")return{type:"native",constructor:global.WebSocket};if(typeof globalThis<"u"&&typeof globalThis.WebSocketPair<"u"&&typeof globalThis.WebSocket>"u")return{type:"cloudflare",error:"Cloudflare Workers detected. WebSocket clients are not supported in Cloudflare Workers.",workaround:"Use Cloudflare Workers WebSocket API for server-side WebSocket handling, or deploy to a different runtime."};if(typeof globalThis<"u"&&globalThis.EdgeRuntime||typeof navigator<"u"&&(!((t=navigator.userAgent)===null||t===void 0)&&t.includes("Vercel-Edge")))return{type:"unsupported",error:"Edge runtime detected (Vercel Edge/Netlify Edge). WebSockets are not supported in edge functions.",workaround:"Use serverless functions or a different deployment target for WebSocket functionality."};const a=globalThis.process;if(a){const n=a.versions;if(n&&n.node){const r=n.node,o=parseInt(r.replace(/^v/,"").split(".")[0]);return o>=22?typeof globalThis.WebSocket<"u"?{type:"native",constructor:globalThis.WebSocket}:{type:"unsupported",error:`Node.js ${o} detected but native WebSocket not found.`,workaround:"Provide a WebSocket implementation via the transport option."}:{type:"unsupported",error:`Node.js ${o} detected without native WebSocket support.`,workaround:`For Node.js < 22, install "ws" package and provide it via the transport option:
438import ws from "ws"
439new RealtimeClient(url, { transport: ws })`}}}return{type:"unsupported",error:"Unknown JavaScript runtime without WebSocket support.",workaround:"Ensure you're running in a supported environment (browser, Node.js, Deno) or provide a custom WebSocket implementation."}}static getWebSocketConstructor(){const t=this.detectEnvironment();if(t.constructor)return t.constructor;let a=t.error||"WebSocket not supported in this environment.";throw t.workaround&&(a+=`
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441l.name===e),o=r==null?void 0:r.type,s=a[e];return o&&!n.includes(o)?IS(o,s):Om(s)},IS=(e,t)=>{if(e.charAt(0)==="_"){const a=e.slice(1,e.length);return dq(t,a)}switch(e){case Ue.bool:return sq(t);case Ue.float4:case Ue.float8:case Ue.int2:case Ue.int4:case Ue.int8:case Ue.numeric:case Ue.oid:return lq(t);case Ue.json:case Ue.jsonb:return cq(t);case Ue.timestamp:return uq(t);case Ue.abstime:case Ue.date:case Ue.daterange:case Ue.int4range:case Ue.int8range:case Ue.money:case Ue.reltime:case Ue.text:case Ue.time:case Ue.timestamptz:case Ue.timetz:case Ue.tsrange:case Ue.tstzrange:return Om(t);default:return Om(t)}},Om=e=>e,sq=e=>{switch(e){case"t":return!0;case"f":return!1;default:return e}},lq=e=>{if(typeof e=="string"){const t=parseFloat(e);if(!Number.isNaN(t))return t}return e},cq=e=>{if(typeof e=="string")try{return JSON.parse(e)}catch{return e}return e},dq=(e,t)=>{if(typeof e!="string")return e;const a=e.length-1,n=e[a];if(e[0]==="{"&&n==="}"){let o;const s=e.slice(1,a);try{o=JSON.parse("["+s+"]")}catch{o=s?s.split(","):[]}return o.map(l=>IS(t,l))}return e},uq=e=>typeof e=="string"?e.replace(" ","T"):e,jS=e=>{const t=new URL(e);return t.protocol=t.protocol.replace(/^ws/i,"http"),t.pathname=t.pathname.replace(/\/+$/,"").replace(/\/socket\/websocket$/i,"").replace(/\/socket$/i,"").replace(/\/websocket$/i,""),t.pathname===""||t.pathname==="/"?t.pathname="/api/broadcast":t.pathname=t.pathname+"/api/broadcast",t.href};class Yh{constructor(t,a,n={},r=Mm){this.channel=t,this.event=a,this.payload=n,this.timeout=r,this.sent=!1,this.timeoutTimer=void 0,this.ref="",this.receivedResp=null,this.recHooks=[],this.refEvent=null}resend(t){this.timeout=t,this._cancelRefEvent(),this.ref="",this.refEvent=null,this.receivedResp=null,this.sent=!1,this.send()}send(){this._hasReceived("timeout")||(this.startTimeout(),this.sent=!0,this.channel.socket.push({topic:this.channel.topic,event:this.event,payload:this.payload,ref:this.ref,join_ref:this.channel._joinRef()}))}updatePayload(t){this.payload=Object.assign(Object.assign({},this.payload),t)}receive(t,a){var n;return this._hasReceived(t)&&a((n=this.receivedResp)===null||n===void 0?void 0:n.response),this.recHooks.push({status:t,callback:a}),this}startTimeout(){if(this.timeoutTimer)return;this.ref=this.channel.socket._makeRef(),this.refEvent=this.channel._replyEventName(this.ref);const t=a=>{this._cancelRefEvent(),this._cancelTimeout(),this.receivedResp=a,this._matchReceive(a)};this.channel._on(this.refEvent,{},t),this.timeoutTimer=setTimeout(()=>{this.trigger("timeout",{})},this.timeout)}trigger(t,a){this.refEvent&&this.channel._trigger(this.refEvent,{status:t,response:a})}destroy(){this._cancelRefEvent(),this._cancelTimeout()}_cancelRefEvent(){this.refEvent&&this.channel._off(this.refEvent,{})}_cancelTimeout(){clearTimeout(this.timeoutTimer),this.timeoutTimer=void 0}_matchReceive({status:t,response:a}){this.recHooks.filter(n=>n.status===t).forEach(n=>n.callback(a))}_hasReceived(t){return this.receivedResp&&this.receivedResp.status===t}}var Wb;(function(e){e.SYNC="sync",e.JOIN="join",e.LEAVE="leave"})(Wb||(Wb={}));class Ks{constructor(t,a){this.channel=t,this.state={},this.pendingDiffs=[],this.joinRef=null,this.enabled=!1,this.caller={onJoin:()=>{},onLeave:()=>{},onSync:()=>{}};const n=(a==null?void 0:a.events)||{state:"presence_state",diff:"presence_diff"};this.channel._on(n.state,{},r=>{const{onJoin:o,onLeave:s,onSync:l}=this.caller;this.joinRef=this.channel._joinRef(),this.state=Ks.syncState(this.state,r,o,s),this.pendingDiffs.forEach(c=>{this.state=Ks.syncDiff(this.state,c,o,s)}),this.pendingDiffs=[],l()}),this.channel._on(n.diff,{},r=>{const{onJoin:o,onLeave:s,onSync:l}=this.caller;this.inPendingSyncState()?this.pendingDiffs.push(r):(this.state=Ks.syncDiff(this.state,r,o,s),l())}),this.onJoin((r,o,s)=>{this.channel._trigger("presence",{event:"join",key:r,currentPresences:o,newPresences:s})}),this.onLeave((r,o,s)=>{this.channel._trigger("presence",{event:"leave",key:r,currentPresences:o,leftPresences:s})}),this.onSync(()=>{this.channel._trigger("presence",{event:"sync"})})}static syncState(t,a,n,r){const o=this.cloneDeep(t),s=this.transformState(a),l={},c={};return this.map(o,(d,u)=>{s[d]||(c[d]=u)}),this.map(s,(d,u)=>{const h=o[d];if(h){const m=u.map(v=>v.presence_ref),p=h.map(v=>v.presence_ref),b=u.filter(v=>p.indexOf(v.presence_ref)<0),g=h.filter(v=>m.indexOf(v.presence_ref)<0);b.length>0&&(l[d]=b),g.length>0&&(c[d]=g)}else l[d]=u}),this.syncDiff(o,{joins:l,leaves:c},n,r)}static syncDiff(t,a,n,r){const{joins:o,leaves:s}={joins:this.transformState(a.joins),leaves:this.transformState(a.leaves)};return n||(n=()=>{}),r||(r=()=>{}),this.map(o,(l,c)=>{var d;const u=(d=t[l])!==null&&d!==void 0?d:[];if(t[l]=this.cloneDeep(c),u.length>0){const h=t[l].map(p=>p.presence_ref),m=u.filter(p=>h.indexOf(p.presence_ref)<0);t[l].unshift(...m)}n(l,u,c)}),this.map(s,(l,c)=>{let d=t[l];if(!d)return;const u=c.map(h=>h.presence_ref);d=d.filter(h=>u.indexOf(h.presence_ref)<0),t[l]=d,r(l,d,c),d.length===0&&delete t[l]}),t}static map(t,a){return Object.getOwnPropertyNames(t).map(n=>a(n,t[n]))}static transformState(t){return t=this.cloneDeep(t),Object.getOwnPropertyNames(t).reduce((a,n)=>{const r=t[n];return"metas"in r?a[n]=r.metas.map(o=>(o.presence_ref=o.phx_ref,delete o.phx_ref,delete o.phx_ref_prev,o)):a[n]=r,a},{})}static cloneDeep(t){return JSON.parse(JSON.stringify(t))}onJoin(t){this.caller.onJoin=t}onLeave(t){this.caller.onLeave=t}onSync(t){this.caller.onSync=t}inPendingSyncState(){return!this.joinRef||this.joinRef!==this.channel._joinRef()}}var $b;(function(e){e.ALL="*",e.INSERT="INSERT",e.UPDATE="UPDATE",e.DELETE="DELETE"})($b||($b={}));var Ys;(function(e){e.BROADCAST="broadcast",e.PRESENCE="presence",e.POSTGRES_CHANGES="postgres_changes",e.SYSTEM="system"})(Ys||(Ys={}));var yn;(function(e){e.SUBSCRIBED="SUBSCRIBED",e.TIMED_OUT="TIMED_OUT",e.CLOSED="CLOSED",e.CHANNEL_ERROR="CHANNEL_ERROR"})(yn||(yn={}));class mi{constructor(t,a={config:{}},n){var r,o;

441if(this.topic=t,this.params=a,this.socket=n,this.bindings={},this.state=lt.closed,this.joinedOnce=!1,this.pushBuffer=[],this.subTopic=t.replace(/^realtime:/i,""),this.params.config=Object.assign({broadcast:{ack:!1,self:!1},presence:{key:"",enabled:!1},private:!1},a.config),this.timeout=this.socket.timeout,this.joinPush=new Yh(this,Ma.join,this.params,this.timeout),this.rejoinTimer=new TS(()=>this._rejoinUntilConnected(),this.socket.reconnectAfterMs),this.joinPush.receive("ok",()=>{this.state=lt.joined,this.rejoinTimer.reset(),this.pushBuffer.forEach(s=>s.send()),this.pushBuffer=[]}),this._onClose(()=>{this.rejoinTimer.reset(),this.socket.log("channel",`close ${this.topic} ${this._joinRef()}`),this.state=lt.closed,this.socket._remove(this)}),this._onError(s=>{this._isLeaving()||this._isClosed()||(this.socket.log("channel",`error ${this.topic}`,s),this.state=lt.errored,this.rejoinTimer.scheduleTimeout())}),this.joinPush.receive("timeout",()=>{this._isJoining()&&(this.socket.log("channel",`timeout ${this.topic}`,this.joinPush.timeout),this.state=lt.errored,this.rejoinTimer.scheduleTimeout())}),this.joinPush.receive("error",s=>{this._isLeaving()||this._isClosed()||(this.socket.log("channel",`error ${this.topic}`,s),this.state=lt.errored,this.rejoinTimer.scheduleTimeout())}),this._on(Ma.reply,{},(s,l)=>{this._trigger(this._replyEventName(l),s)}),this.presence=new Ks(this),this.broadcastEndpointURL=jS(this.socket.endPoint),this.private=this.params.config.private||!1,!this.private&&(!((o=(r=this.params.config)===null||r===void 0?void 0:r.broadcast)===null||o===void 0)&&o.replay))throw`tried to use replay on public channel '${this.topic}'. It must be a private channel.`}subscribe(t,a=this.timeout){var n,r,o;if(this.socket.isConnected()||this.socket.connect(),this.state==lt.closed){const{config:{broadcast:s,presence:l,private:c}}=this.params,d=(r=(n=this.bindings.postgres_changes)===null||n===void 0?void 0:n.map(p=>p.filter))!==null&&r!==void 0?r:[],u=!!this.bindings[Ys.PRESENCE]&&this.bindings[Ys.PRESENCE].length>0||((o=this.params.config.presence)===null||o===void 0?void 0:o.enabled)===!0,h={},m={broadcast:s,presence:Object.assign(Object.assign({},l),{enabled:u}),postgres_changes:d,private:c};this.socket.accessTokenValue&&(h.access_token=this.socket.accessTokenValue),this._onError(p=>t==null?void 0:t(yn.CHANNEL_ERROR,p)),this._onClose(()=>t==null?void 0:t(yn.CLOSED)),this.updateJoinPayload(Object.assign({config:m},h)),this.joinedOnce=!0,this._rejoin(a),this.joinPush.receive("ok",async({postgres_changes:p})=>{var b;if(this.socket._isManualToken()||this.socket.setAuth(),p===void 0){t==null||t(yn.SUBSCRIBED);return}else{const g=this.bindings.postgres_changes,v=(b=g==null?void 0:g.length)!==null&&b!==void 0?b:0,w=[];for(let y=0;y<v;y++){const x=g[y],{filter:{event:k,schema:C,table:S,filter:A}}=x,P=p&&p[y];if(P&&P.event===k&&mi.isFilterValueEqual(P.schema,C)&&mi.isFilterValueEqual(P.table,S)&&mi.isFilterValueEqual(P.filter,A))w.push(Object.assign(Object.assign({},x),{id:P.id}));else{this.unsubscribe(),this.state=lt.errored,t==null||t(yn.CHANNEL_ERROR,new Error("mismatch between server and client bindings for postgres changes"));return}}this.bindings.postgres_changes=w,t&&t(yn.SUBSCRIBED);return}}).receive("error",p=>{this.state=lt.errored,t==null||t(yn.CHANNEL_ERROR,new Error(JSON.stringify(Object.values(p).join(", ")||"error")))}).receive("timeout",()=>{t==null||t(yn.TIMED_OUT)})}return this}presenceState(){return this.presence.state}async track(t,a={}){return await this.send({type:"presence",event:"track",payload:t},a.timeout||this.timeout)}async untrack(t={}){return await this.send({type:"presence",event:"untrack"},t)}on(t,a,n){return this.state===lt.joined&&t===Ys.PRESENCE&&(this.socket.log("channel",`resubscribe to ${this.topic} due to change in presence callbacks on joined channel`),this.unsubscribe().then(async()=>await this.subscribe())),this._on(t,a,n)}async httpSend(t,a,n={}){var r;if(a==null)return Promise.reject("Payload is required for httpSend()");const o={apikey:this.socket.apiKey?this.socket.apiKey:"","Content-Type":"application/json"};this.socket.accessTokenValue&&(o.Authorization=`Bearer ${this.socket.accessTokenValue}`);const s={method:"POST",headers:o,body:JSON.stringify({messages:[{topic:this.subTopic,event:t,payload:a,private:this.private}]})},l=await this._fetchWithTimeout(this.broadcastEndpointURL,s,(r=n.timeout)!==null&&r!==void 0?r:this.timeout);if(l.status===202)return{success:!0};let c=l.statusText;

441try{const d=await l.json();c=d.error||d.message||c}catch{}return Promise.reject(new Error(c))}async send(t,a={}){var n,r;if(!this._canPush()&&t.type==="broadcast"){console.warn("Realtime send() is automatically falling back to REST API. This behavior will be deprecated in the future. Please use httpSend() explicitly for REST delivery.");const{event:o,payload:s}=t,l={apikey:this.socket.apiKey?this.socket.apiKey:"","Content-Type":"application/json"};this.socket.accessTokenValue&&(l.Authorization=`Bearer ${this.socket.accessTokenValue}`);const c={method:"POST",headers:l,body:JSON.stringify({messages:[{topic:this.subTopic,event:o,payload:s,private:this.private}]})};try{const d=await this._fetchWithTimeout(this.broadcastEndpointURL,c,(n=a.timeout)!==null&&n!==void 0?n:this.timeout);return await((r=d.body)===null||r===void 0?void 0:r.cancel()),d.ok?"ok":"error"}catch(d){return d.name==="AbortError"?"timed out":"error"}}else return new Promise(o=>{var s,l,c;const d=this._push(t.type,t,a.timeout||this.timeout);t.type==="broadcast"&&!(!((c=(l=(s=this.params)===null||s===void 0?void 0:s.config)===null||l===void 0?void 0:l.broadcast)===null||c===void 0)&&c.ack)&&o("ok"),d.receive("ok",()=>o("ok")),d.receive("error",()=>o("error")),d.receive("timeout",()=>o("timed out"))})}updateJoinPayload(t){this.joinPush.updatePayload(t)}unsubscribe(t=this.timeout){this.state=lt.leaving;const a=()=>{this.socket.log("channel",`leave ${this.topic}`),this._trigger(Ma.close,"leave",this._joinRef())};this.joinPush.destroy();let n=null;return new Promise(r=>{n=new Yh(this,Ma.leave,{},t),n.receive("ok",()=>{a(),r("ok")}).receive("timeout",()=>{a(),r("timed out")}).receive("error",()=>{r("error")}),n.send(),this._canPush()||n.trigger("ok",{})}).finally(()=>{n==null||n.destroy()})}teardown(){this.pushBuffer.forEach(t=>t.destroy()),this.pushBuffer=[],this.rejoinTimer.reset(),this.joinPush.destroy(),this.state=lt.closed,this.bindings={}}async _fetchWithTimeout(t,a,n){const r=new AbortController,o=setTimeout(()=>r.abort(),n),s=await this.socket.fetch(t,Object.assign(Object.assign({},a),{signal:r.signal}));return clearTimeout(o),s}_push(t,a,n=this.timeout){if(!this.joinedOnce)throw`tried to push '${t}' to '${this.topic}' before joining. Use channel.subscribe() before pushing events`;let r=new Yh(this,t,a,n);return this._canPush()?r.send():this._addToPushBuffer(r),r}_addToPushBuffer(t){if(t.startTimeout(),this.pushBuffer.push(t),this.pushBuffer.length>rq){const a=this.pushBuffer.shift();a&&(a.destroy(),this.socket.log("channel",`discarded push due to buffer overflow: ${a.event}`,a.payload))}}_onMessage(t,a,n){return a}_isMember(t){return this.topic===t}_joinRef(){return this.joinPush.ref}_trigger(t,a,n){var r,o;const s=t.toLocaleLowerCase(),{close:l,error:c,leave:d,join:u}=Ma;if(n&&[l,c,d,u].indexOf(s)>=0&&n!==this._joinRef())return;let m=this._onMessage(s,a,n);if(a&&!m)throw"channel onMessage callbacks must return the payload, modified or unmodified";["insert","update","delete"].includes(s)?(r=this.bindings.postgres_changes)===null||r===void 0||r.filter(p=>{var b,g,v;return((b=p.filter)===null||b===void 0?void 0:b.event)==="*"||((v=(g=p.filter)===null||g===void 0?void 0:g.event)===null||v===void 0?void 0:v.toLocaleLowerCase())===s}).map(p=>p.callback(m,n)):(o=this.bindings[s])===null||o===void 0||o.filter(p=>{var b,g,v,w,y,x;if(["broadcast","presence","postgres_changes"].includes(s))if("id"in p){const k=p.id,C=(b=p.filter)===null||b===void 0?void 0:b.event;return k&&((g=a.ids)===null||g===void 0?void 0:g.includes(k))&&(C==="*"||(C==null?void 0:C.toLocaleLowerCase())===((v=a.data)===null||v===void 0?void 0:v.type.toLocaleLowerCase()))}else{const k=(y=(w=p==null?void 0:p.filter)===null||w===void 0?void 0:w.event)===null||y===void 0?void 0:y.toLocaleLowerCase();return k==="*"||k===((x=a==null?void 0:a.event)===null||x===void 0?void 0:x.toLocaleLowerCase())}else return p.type.toLocaleLowerCase()===s}).map(p=>{if(typeof m=="object"&&"ids"in m){const b=m.data,{schema:g,table:v,commit_timestamp:w,type:y,errors:x}=b;m=Object.assign(Object.assign({},{schema:g,table:v,commit_timestamp:w,eventType:y,new:{},old:{},errors:x}),this._getPayloadRecords(b))}p.callback(m,n)})}_isClosed(){return this.state===lt.closed}_isJoined(){return this.state===lt.joined}_isJoining(){return this.state===lt.joining}_isLeaving(){return this.state===lt.leaving}_replyEventName(t){return`chan_reply_${t}`}_on(t,a,n){const r=t.toLocaleLowerCase(),o={type:r,filter:a,callback:n};return this.bindings[r]?this.bindings[r].push(o):this.bindings[r]=[o],this}_off(t,a){const n=t.toLocaleLowerCase();return this.bindings[n]&&(this.bindings[n]=this.bindings[n].filter(r=>{var o;return!(((o=r.type)===null||o===void 0?void 0:o.toLocaleLowerCase())===n&&mi.isEqual(r.filter,a))})),this}static isEqual(t,a){if(Object.keys(t).length!==Object.keys(a).length)return!1;for(const n in t)if(t[n]!==a[n])return!1;return!0}static isFilterValueEqual(t,a){return(t??void 0)===(a??void 0)}_rejoinUntilConnected(){this.rejoinTimer.scheduleTimeout(),this.socket.isConnected()&&this._rejoin()}_onClose(t){this._on(Ma.close,{},t)}_onError(t){this._on(Ma.error,{},a=>t(a))}_canPush(){return this.socket.isConnected()&&this._isJoined()}_rejoin(t=this.timeout){this._isLeaving()||(this.socket._leaveOpenTopic(this.topic),this.state=lt.joining,this.joinPush.resend(t))}_getPayloadRecords(t){const a={new:{},old:{}};return(t.type==="INSERT"||t.type==="UPDATE")&&(a.new=Vb(t.columns,t.record)),(t.type==="UPDATE"||t.type==="DELETE")&&(a.old=Vb(t.columns,t.old_record)),a}}const Jh=()=>{},Ic={HEARTBEAT_INTERVAL:25e3,RECONNECT_DELAY:10,HEARTBEAT_TIMEOUT_FALLBACK:100},hq=[1e3,2e3,5e3,1e4],pq=1e4,mq=`
442  addEventListener("message", (e) => {
443    if (e.data.event === "start") {
444      setInterval(() => postMessage({ event: "keepAlive" }), e.data.interval);
445    }
446  });`;class fq{constructor(t,a){var n;if(this.accessTokenValue=null,this.apiKey=null,this._manuallySetToken=!1,this.channels=new Array,this.endPoint="",this.httpEndpoint="",this.headers={},this.params={},this.timeout=Mm,this.transport=null,this.heartbeatIntervalMs=Ic.HEARTBEAT_INTERVAL,this.heartbeatTimer=void 0,this.pendingHeartbeatRef=null,this.heartbeatCallback=Jh,this.ref=0,this.reconnectTimer=null,this.vsn=Bb,this.logger=Jh,this.conn=null,this.sendBuffer=[],this.serializer

446=new oq,this.stateChangeCallbacks={open:[],close:[],error:[],message:[]},this.accessToken=null,this._connectionState="disconnected",this._wasManualDisconnect=!1,this._authPromise=null,this._heartbeatSentAt=null,this._resolveFetch=r=>r?(...o)=>r(...o):(...o)=>fetch(...o),!(!((n=a==null?void 0:a.params)===null||n===void 0)&&n.apikey))throw new Error("API key is required to connect to Realtime");this.apiKey=a.params.apikey,this.endPoint=`${t}/${Lm.websocket}`,this.httpEndpoint=jS(t),this._initializeOptions(a),this._setupReconnectionTimer(),this.fetch=this._resolveFetch(a==null?void 0:a.fetch)}connect(){if(!(this.isConnecting()||this.isDisconnecting()||this.conn!==null&&this.isConnected())){if(this._setConnectionState("connecting"),this.accessToken&&!this._authPromise&&this._setAuthSafely("connect"),this.transport)this.conn=new this.transport(this.endpointURL());else try{this.conn=X_.createWebSocket(this.endpointURL())}catch(t){this._setConnectionState("disconnected");const a=t.message;throw a.includes("Node.js")?new Error(`${a}
447
448To use Realtime in Node.js, you need to provide a WebSocket implementation:
449
450Option 1: Use Node.js 22+ which has native WebSocket support
451Option 2: Install and provide the "ws" package:
452
453  npm install ws
454
455  import ws from "ws"
456  const client = new RealtimeClient(url, {
457    ...options,
458    transport: ws
459  })`):new Error(`WebSocket not available: ${a}`)}this._setupConnectionHandlers()}}endpointURL(){return this._appendParams(this.endPoint,Object.assign({},this.params,{vsn:this.vsn}))}disconnect(t,a){if(!this.isDisconnecting())if(this._setConnectionState("disconnecting",!0),this.conn){const n=setTimeout(()=>{this._setConnectionState("disconnected")},100);this.conn.onclose=()=>{clearTimeout(n),this._setConnectionState("disconnected")},typeof this.conn.close=="function"&&(t?this.conn.close(t,a??""):this.conn.close()),this._teardownConnection()}else this._setConnectionState("disconnected")}getChannels(){return this.channels}async removeChannel(t){const a=await t.unsubscribe();return a==="ok"&&this._remove(t),this.channels.length===0&&this.disconnect(),a}async removeAllChannels(){const t=await Promise.all(this.channels.map(a=>a.unsubscribe()));return this.channels=[],this.disconnect(),t}log(t,a,n){this.logger(t,a,n)}connectionState(){switch(this.conn&&this.conn.readyState){case Yn.connecting:return $r.Connecting;case Yn.open:return $r.Open;case Yn.closing:return $r.Closing;default:return $r.Closed}}isConnected(){return this.connectionState()===$r.Open}isConnecting(){return this._connectionState==="connecting"}isDisconnecting(){return this._connectionState==="disconnecting"}channel(t,a={config:{}}){const n=`realtime:${t}`,r=this.getChannels().find(o=>o.topic===n);if(r)return r;{const o=new mi(`realtime:${t}`,a,this);return this.channels.push(o),o}}push(t){const{topic:a,event:n,payload:r,ref:o}=t,s=()=>{this.encode(t,l=>{var c;(c=this.conn)===null||c===void 0||c.send(l)})};this.log("push",`${a} ${n} (${o})`,r),this.isConnected()?s():this.sendBuffer.push(s)}async setAuth(t=null){this._authPromise=this._performAuth(t);try{await this._authPromise}finally{this._authPromise=null}}_isManualToken(){return this._manuallySetToken}async sendHeartbeat(){var t;if(!this.isConnected()){try{this.heartbeatCallback("disconnected")}catch(a){this.log("error","error in heartbeat callback",a)}return}if(this.pendingHeartbeatRef){this.pendingHeartbeatRef=null,this._heartbeatSentAt=null,this.log("transport","heartbeat timeout. Attempting to re-establish connection");try{this.heartbeatCallback("timeout")}catch(a){this.log("error","error in heartbeat callback",a)}this._wasManualDisconnect=!1,(t=this.conn)===null||t===void 0||t.close(nq,"heartbeat timeout"),setTimeout(()=>{var a;this.isConnected()||(a=this.reconnectTimer)===null||a===void 0||a.scheduleTimeout()},Ic.HEARTBEAT_TIMEOUT_FALLBACK);return}this._heartbeatSentAt=Date.now(),this.pendingHeartbeatRef=this._makeRef(),this.push({topic:"phoenix",event:"heartbeat",payload:{},ref:this.pendingHeartbeatRef});try{this.heartbeatCallback("sent")}catch(a){this.log("error","error in heartbeat callback",a)}this._setAuthSafely("heartbeat")}onHeartbeat(t){this.heartbeatCallback=t}flushSendBuffer(){this.isConnected()&&this.sendBuffer.length>0&&(this.sendBuffer.forEach(t=>t()),this.sendBuffer=[])}_makeRef(){let t=this.ref+1;return t===this.ref?this.ref=0:this.ref=t,this.ref.toString()}_leaveOpenTopic(t){let a=this.channels.find(n=>n.topic===t&&(n._isJoined()||n._isJoining()));a&&(this.log("transport",`leaving duplicate topic "${t}"`),a.unsubscribe())}_remove(t){this.channels=this.channels.filter(a=>a.topic!==t.topic)}_onConnMessage(t){this.decode(t.data,a=>{if(a.topic==="phoenix"&&a.event==="phx_reply"&&a.ref&&a.ref===this.pendingHeartbeatRef){const d=this._heartbeatSentAt?Date.now()-this._heartbeatSentAt:void 0;try{this.heartbeatCallback(a.payload.status==="ok"?"ok":"error",d)}catch(u){this.log("error","error in heartbeat callback",u)}this._heartbeatSentAt=null,this.pendingHeartbeatRef=null}const{topic:n,event:r,payload:o,ref:s}=a,l=s?`(${s})`:"",c=o.status||"";this.log("receive",`${c} ${n} ${r} ${l}`.trim(),o),this.channels.filter(d=>

459d._isMember(n)).forEach(d=>d._trigger(r,o,s)),this._triggerStateCallbacks("message",a)})}_clearTimer(t){var a;t==="heartbeat"&&this.heartbeatTimer?(clearInterval(this.heartbeatTimer),this.heartbeatTimer=void 0):t==="reconnect"&&((a=this.reconnectTimer)===null||a===void 0||a.reset())}_clearAllTimers(){this._clearTimer("heartbeat"),this._clearTimer("reconnect")}_setupConnectionHandlers(){this.conn&&("binaryType"in this.conn&&(this.conn.binaryType="arraybuffer"),this.conn.onopen=()=>this._onConnOpen(),this.conn.onerror=t=>this._onConnError(t),this.conn.onmessage=t=>this._onConnMessage(t),this.conn.onclose=t=>this._onConnClose(t),this.conn.readyState===Yn.open&&this._onConnOpen())}_teardownConnection(){if(this.conn){if(this.conn.readyState===Yn.open||this.conn.readyState===Yn.connecting)try{this.conn.close()}catch(t){this.log("error","Error closing connection",t)}this.conn.onopen=null,this.conn.onerror=null,this.conn.onmessage=null,this.conn.onclose=null,this.conn=null}this._clearAllTimers(),this._terminateWorker(),this.channels.forEach(t=>t.teardown())}_onConnOpen(){this._setConnectionState("connected"),this.log("transport",`connected to ${this.endpointURL()}`),(this._authPromise||(this.accessToken&&!this.accessTokenValue?this.setAuth():Promise.resolve())).then(()=>{this.flushSendBuffer()}).catch(a=>{this.log("error","error waiting for auth on connect",a),this.flushSendBuffer()}),this._clearTimer("reconnect"),this.worker?this.workerRef||this._startWorkerHeartbeat():this._startHeartbeat(),this._triggerStateCallbacks("open")}_startHeartbeat(){this.heartbeatTimer&&clearInterval(this.heartbeatTimer),this.heartbeatTimer=setInterval(()=>this.sendHeartbeat(),this.heartbeatIntervalMs)}_startWorkerHeartbeat(){this.workerUrl?this.log("worker",`starting worker for from ${this.workerUrl}`):this.log("worker","starting default worker");const t=this._workerObjectUrl(this.workerUrl);this.workerRef=new Worker(t),this.workerRef.onerror=a=>{this.log("worker","worker error",a.message),this._terminateWorker()},this.workerRef.onmessage=a=>{a.data.event==="keepAlive"&&this.sendHeartbeat()},this.workerRef.postMessage({event:"start",interval:this.heartbeatIntervalMs})}_terminateWorker(){this.workerRef&&(this.log("worker","terminating worker"),this.workerRef.terminate(),this.workerRef=void 0)}_onConnClose(t){var a;this._setConnectionState("disconnected"),this.log("transport","close",t),this._triggerChanError(),this._clearTimer("heartbeat"),this._wasManualDisconnect||(a=this.reconnectTimer)===null||a===void 0||a.scheduleTimeout(),this._triggerStateCallbacks("close",t)}_onConnError(t){this._setConnectionState("disconnected"),this.log("transport",`${t}`),this._triggerChanError(),this._triggerStateCallbacks("error",t);try{this.heartbeatCallback("error")}catch(a){this.log("error","error in heartbeat callback",a)}}_triggerChanError(){this.channels.forEach(t=>t._trigger(Ma.error))}_appendParams(t,a){if(Object.keys(a).length===0)return t;const n=t.match(/\?/)?"&":"?",r=new URLSearchParams(a);return`${t}${n}${r}`}_workerObjectUrl(t){let a;if(t)a=t;else{const n=new Blob([mq],{type:"application/javascript"});a=URL.createObjectURL(n)}return a}_setConnectionState(t,a=!1){this._connectionState=t,t==="connecting"?this._wasManualDisconnect=!1:t==="disconnecting"&&(this._wasManualDisconnect=a)}async _performAuth(t=null){let a,n=!1;if(t)a=t,n=!0;else if(this.accessToken)try{a=await this.accessToken()}catch(r){this.log("error","Error fetching access token from callback",r),a=this.accessTokenValue}else a=this.accessTokenValue;n?this._manuallySetToken=!0:this.accessToken&&(this._manuallySetToken=!1),this.accessTokenValue!=a&&(this.accessTokenValue=a,this.channels.forEach(r=>{const o={access_token:a,version:tq};a&&r.updateJoinPayload(o),r.joinedOnce&&r._isJoined()&&r._push(Ma.access_token,{access_token:a})}))}async _waitForAuthIfNeeded(){this._authPromise&&await this._authPromise}_setAuthSafely(t="general"){this._isManualToken()||this.setAuth().catch(a=>{this.log("error",`Error setting auth in ${t}`,a)})}_triggerStateCallbacks(t,a){try{this.stateChangeCallbacks[t].forEach(n=>{try{n(a)}catch(r){this.log("error",`error in ${t} callback`,r)}})}catch(n){this.log("error",`error triggering ${t} callbacks`,n)}}_setupReconnectionTimer(){this.reconnectTimer=new TS(async()=>{setTimeout(async()=>{await this._waitForAuthIfNeeded(),this.isConnected()||this.connect()},Ic.RECONNECT_DELAY)},this.reconnectAfterMs)}_initializeOptions(t){var a,n,r,o,s,l,c,d,u,h,m,p;switch(this.transport=(a=t==null?void 0:t.transport)!==null&&a!==void 0?a:null,this.timeout=(n=t==null?void 0:t.t

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r.map(s=>de(de({},s),{},{signedUrl:s.signedURL?encodeURI(`${n.url}${s.signedURL}${o}`):null}))})}download(e,t,a){const n=typeof(t==null?void 0:t.transform)<"u"?"render/image/authenticated":"object",r=this.transformOptsToQueryString((t==null?void 0:t.transform)||{}),o=r?`?${r}`:"",s=this._getFinalPath(e),l=()=>Il(this.fetch,`${this.url}/${n}/${s}${o}`,{headers:this.headers,noResolveJson:!0},a);return new Rq(l,this.shouldThrowOnError)}async info(e){var t=this;const a=t._getFinalPath(e);return t.handleOperation(async()=>Gm(await Il(t.fetch,`${t.url}/object/info/${a}`,{headers:t.headers})))}async exists(e){var t=this;const a=t._getFinalPath(e);try{return await Eq(t.fetch,`${t.url}/object/${a}`,{headers:t.headers}),{data:!0,error:null}}catch(n){if(t.shouldThrowOnError)throw n;if(Ou(n)&&n instanceof NS){const r=n.originalError;if([400,404].includes(r==null?void 0:r.status))return{data:!1,error:n}}throw n}}getPublicUrl(e,t){const a=this._getFinalPath(e),n=[],r=t!=null&&t.download?`download=${t.download===!0?"":t.download}`:"";r!==""&&n.push(r);const o=typeof(t==null?void 0:t.transform)<"u"?"render/image":"object",s=this.transformOptsToQueryString((t==null?void 0:t.transform)||{});s!==""&&n.push(s);let l=n.join("&");return l!==""&&(l=`?${l}`),{data:{publicUrl:encodeURI(`${this.url}/${o}/public/${a}${l}`)}}}async remove(e){var t=this;return t.handleOperation(async()=>await ey(t.fetch,`${t.url}/object/${t.bucketId}`,{prefixes:e},{headers:t.headers}))}async list(e,t,a){var n=this;return n.handleOperation(async()=>{const r=de(de(de({},Dq),t),{},{prefix:e||""});return await Da(n.fetch,`${n.url}/object/list/${n.bucketId}`,r,{headers:n.headers},a)})}async listV2(e,t){var a=this;return a.handleOperation(async()=>{const n=de({},e);return await Da(a.fetch,`${a.url}/object/list-v2/${a.bucketId}`,n,{headers:a.headers},t)})}encodeMetadata(e){return JSON.stringify(e)}toBase64(e){return typeof Buffer<"u"?Buffer.from(e).toString("base64"):btoa(e)}_getFinalPath(e){return`${this.bucketId}/${e.replace(/^\/+/,"")}`}_removeEmptyFolders(e){return e.replace(/^\/|\/$/g,"").replace(/\/+/g,"/")}transformOptsToQueryString(e){const t=[];return e.width&&t.push(`width=${e.width}`),e.height&&t.push(`height=${e.height}`),e.resize&&t.push(`resize=${e.resize}`),e.format&&t.push(`format=${e.format}`),e.quality&&t.push(`quality=${e.quality}`),t.join("&")}};const qq="2.95.3",Zl={"X-Client-Info":`storage-js/${qq}`};var Uq=class extends cs{constructor(e,t={},a,n){const r=new URL(e);n!=null&&n.useNewHostname&&/supabase\.(co|in|red)$/.test(r.hostname)&&!r.hostname.includes("storage.supabase.")&&(r.hostname=r.hostname.replace("supabase.","storage.supabase."));const o=r.href.replace(/\/$/,""),s=de(de({},Zl),t);super(o,s,a,"storage")}async listBuckets(e){var t=this;return t.handleOperation(async()=>{const a=t.listBucketOptionsToQueryString(e);return await Il(t.fetch,`${t.url}/bucket${a}`,{headers:t.headers})})}async getBucket(e){var t=this;return t.handleOperation(async()=>await Il(t.fetch,`${t.url}/bucket/${e}`,{headers:t.headers}))}async createBucket(e,t={public:!1}){var a=this;return a.handleOperation(async()=>await Da(a.fetch,`${a.url}/bucket`,{id:e,name:e,type:t.type,public:t.public,file_size_limit:t.fileSizeLimit,allowed_mime_types:t.allowedMimeTypes},{headers:a.headers}))}async updateBucket(e,t){var a=this;return a.handleOperation(async()=>await Fm(a.fetch,`${a.url}/bucket/${e}`,{id:e,name:e,public:t.public,file_size_limit:t.fileSizeLimit,allowed_mime_types:t.allowedMimeTypes},{headers:a.headers}))}async emptyBucket(e){var t=this;return t.handleOperation(async()=>await Da(t.fetch,`${t.url}/bucket/${e}/empty`,{},{headers:t.headers}))}async deleteBucket(e){var t=this;return t.handleOperation(async()=>await ey(t.fetch,`${t.url}/bucket/${e}`,{},{headers:t.headers}))}listBucketOptionsToQueryString(e){const t={};return e&&("limit"in e&&(t.limit=String(e.limit)),"offset"in e&&(t.offset=String(e.offset)),e.search&&(t.search=e.search),e.sortColumn&&(t.sortColumn=e.sortColumn),e.sortOrder&&(t.sortOrder=e.sortOrder)),Object.keys(t).length>0?"?"+new URLSearchParams(t).toString():""}},Mq=class extends cs{constructor(e,t={},a){const n=e.replace(/\/$/,""),r=de(de({},Zl),t);super(n,r,a,"storage")}async createBucket(e){var t=this;return t.handleOperation(async()=>await Da(t.fetch,`${t.url}/bucket`,{name:e},{headers:t.headers}))}async listBuckets(e){var t=this;return t.handleOperation(async()=>{const a=new URLSearchParams;(e==null?void 0:e.limit)!==void 0&&a.set("limit",e.limit.toString()),(e==null?void 0:e.offset)!==void 0&&a.set("offset",e.offset.toString()),e!=null&&e.sortColumn&&a.set("sortColumn",e.sortColumn),e!=null&&e.sortOrder&&a.set("sortOrder",e.sortOrder),e!=null&&e.search&&a.set("search",e.search);const n=a.toString(),r=n?`${t.url}/bucket?${n}`:`${t.url}/bucket`;return await Il(t.fetch,r,{headers:t.headers})})}async deleteBucket(e){var t=this;return t.handleOperation(async()=>await ey(t.fetch,`${t.url}/bucket/${e}`,{},{headers:t.headers}))}from(e){var t=this;if(!Sq(e))throw new Lu("Invalid bucket name: File, folder, and bucket names must follow AWS object key naming guidelines and should avoid the use of any other characters.");const a=new xq({baseUrl:this.url,catalogName:e,auth:{type:"custom",getHeaders:async()=>t.headers},fetch:this.fetch}),n=this.shouldThrowOnError;return new Proxy(a,{get(r,o){const s=r[o];return typeof s!="function"?s:async(...l)=>{try{return{data:await s.apply(r,l),error:null}}catch(c){if(n)throw c;return{data:null,error:c}}}}})}},Lq=class extends cs{constructor(e,t={},a){const n=e.replace(/\/$/,""),r=de(de({},Zl),{},{"Content-Type":"application/json"},t);super(n,r,a,"vectors")}async createIndex(e){var t=this;return t.handleOperation(async()=>await Zt.post(t.fetch,`${t.url}/CreateIndex`,e,{headers:t.headers})||{})}async getIndex(e,t){var a=this;return a.handleOperation(async()=>await Zt.post(a.fetch,`${a.url}/GetIndex`,{vectorBucketName:e,indexName:t},{headers:a.headers}))}async listIndexes(e){var t=this;return t.handleOperation(async()=>await Zt.post(t.fetch,`${t.url}/ListIndexes`,e,{headers:t.headers}))}async deleteIndex(e,t){var a=this;return a.handleOperation(async()=>await Zt.post(a.fetch,`${a.url}/DeleteIndex`,{vectorBucketName:e,indexName:t},{headers:a.headers})||{})}},Oq=class extends cs{constructor(e,t={},a){const n=e.replace(/\/$/,""),r=de(de({},Zl),{},{"Content-Type":"application/json"},t);super(n,r,a,"vectors")}async putVectors(e){var t=this;if(e.vectors.length<1||e.vectors.length>500)throw new Error("Vector batch size must be between 1 and 500 items");return t.handleOperation(async()=>await Zt.post(t.fetch,`${t.url}/PutVectors`,e,{headers:t.headers})||{})}async getVectors(e){var t=this;return t.handleOperation(async()=>await Zt.post(t.fetch,`${t.url}/GetVectors`,e,{headers:t.headers}))}async listVectors(e){var t=this;if(e.segmentCount!==void 0){if(e.segmentCount<1||e.segmentCount>16)throw new Error("segmentCount must be between 1 and 16");

459if(e.segmentIndex!==void 0&&(e.segmentIndex<0||e.segmentIndex>=e.segmentCount))throw new Error(`segmentIndex must be between 0 and ${e.segmentCount-1}`)}return t.handleOperation(async()=>await Zt.post(t.fetch,`${t.url}/ListVectors`,e,{headers:t.headers}))}async queryVectors(e){var t=this;return t.handleOperation(async()=>await Zt.post(t.fetch,`${t.url}/QueryVectors`,e,{headers:t.headers}))}async deleteVectors(e){var t=this;if(e.keys.length<1||e.keys.length>500)throw new Error("Keys batch size must be between 1 and 500 items");return t.handleOperation(async()=>await Zt.post(t.fetch,`${t.url}/DeleteVectors`,e,{headers:t.headers})||{})}},Gq=class extends cs{constructor(e,t={},a){const n=e.replace(/\/$/,""),r=de(de({},Zl),{},{"Content-Type":"application/json"},t);super(n,r,a,"vectors")}async createBucket(e){var t=this;return t.handleOperation(async()=>await Zt.post(t.fetch,`${t.url}/CreateVectorBucket`,{vectorBucketName:e},{headers:t.headers})||{})}async getBucket(e){var t=this;return t.handleOperation(async()=>await Zt.post(t.fetch,`${t.url}/GetVectorBucket`,{vectorBucketName:e},{headers:t.headers}))}async listBuckets(e={}){var t=this;return t.handleOperation(async()=>await Zt.post(t.fetch,`${t.url}/ListVectorBuckets`,e,{headers:t.headers}))}async deleteBucket(e){var t=this;return t.handleOperation(async()=>await Zt.post(t.fetch,`${t.url}/DeleteVectorBucket`,{vectorBucketName:e},{headers:t.headers})||{})}},Fq=class extends Gq{constructor(e,t={}){super(e,t.headers||{},t.fetch)}from(e){return new Hq(this.url,this.headers,e,this.fetch)}async createBucket(e){var t=()=>super.createBucket,a=this;return t().call(a,e)}async getBucket(e){var t=()=>super.getBucket,a=this;return t().call(a,e)}async listBuckets(e={}){var t=()=>super.listBuckets,a=this;return t().call(a,e)}async deleteBucket(e){var t=()=>super.deleteBucket,a=this;return t().call(a,e)}},Hq=class extends Lq{constructor(e,t,a,n){super(e,t,n),this.vectorBucketName=a}async createIndex(e){var t=()=>super.createIndex,a=this;return t().call(a,de(de({},e),{},{vectorBucketName:a.vectorBucketName}))}async listIndexes(e={}){var t=()=>super.listIndexes,a=this;return t().call(a,de(de({},e),{},{vectorBucketName:a.vectorBucketName}))}async getIndex(e){var t=()=>super.getIndex,a=this;return t().call(a,a.vectorBucketName,e)}async deleteIndex(e){var t=()=>super.deleteIndex,a=this;return t().call(a,a.vectorBucketName,e)}index(e){return new Bq(this.url,this.headers,this.vectorBucketName,e,this.fetch)}},Bq=class extends Oq{constructor(e,t,a,n,r){super(e,t,r),this.vectorBucketName=a,this.indexName=n}async putVectors(e){var t=()=>super.putVectors,a=this;return t().call(a,de(de({},e),{},{vectorBucketName:a.vectorBucketName,indexName:a.indexName}))}async getVectors(e){var t=()=>super.getVectors,a=this;return t().call(a,de(de({},e),{},{vectorBucketName:a.vectorBucketName,indexName:a.indexName}))}async listVectors(e={}){var t=()=>super.listVectors,a=this;return t().call(a,de(de({},e),{},{vectorBucketName:a.vectorBucketName,indexName:a.indexName}))}async queryVectors(e){var t=()=>super.queryVectors,a=this;return t().call(a,de(de({},e),{},{vectorBucketName:a.vectorBucketName,indexName:a.indexName}))}async deleteVectors(e){var t=()=>super.deleteVectors,a=this;return t().call(a,de(de({},e),{},{vectorBucketName:a.vectorBucketName,indexName:a.indexName}))}},Vq=class extends Uq{constructor(e,t={},a,n){super(e,t,a,n)}from(e){return new _q(this.url,this.headers,e,this.fetch)}get vectors(){return new Fq(this.url+"/vector",{headers:this.headers,fetch:this.fetch})}get analytics(){return new Mq(this.url+"/iceberg",this.headers,this.fetch)}};const RS="2.95.3",Zo=30*1e3,Hm=3,Qh=Hm*Zo,Wq="http://localhost:9999",$q="supabase.auth.token",Kq={"X-Client-Info":`gotrue-js/${RS}`},Bm="X-Supabase-Api-Version",DS={"2024-01-01":{timestamp:Date.parse("2024-01-01T00:00:00.0Z"),name:"2024-01-01"}},Yq=/^([a-z0-9_-]{4})*($|[a-z0-9_-]{3}$|[a-z0-9_-]{2}$)$/i,Jq=10*60*1e3;class jl extends Error{constructor(t,a,n){super(t),this.__isAuthError=!0,this.name="AuthError",this.status=a,this.code=n}}function ne(e){return typeof e=="object"&&e!==null&&"__isAuthError"in e}class Qq extends jl{constructor(t,a,n){super(t,a,n),this.name="AuthApiError",this.status=a,this.code=n}}function Zq(e){return ne(e)&&e.name==="AuthApiError"}class Kr extends jl{constructor(t,a){super(t),this.name="AuthUnknownError",this.originalError=a}}class Dn extends jl{constructor(t,a,n,r){super(t,n,r),this.name=a,this.status=n}}class Kt extends Dn{constructor(){super("Auth session missing!","AuthSessionMissingError",400,void 0)}}function Zh(e){return ne(e)&&e.name==="AuthSessionMissingError"}class Fo extends Dn{constructor(){super("Auth session or user missing","AuthInvalidToken

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460{if(!yt())return!1;try{if(typeof globalThis.localStorage!="object")return!1}catch{return!1}if(Gr.tested)return Gr.writable;const e=`lswt-${Math.random()}${Math.random()}`;try{globalThis.localStorage.setItem(e,e),globalThis.localStorage.removeItem(e),Gr.tested=!0,Gr.writable=!0}catch{Gr.tested=!0,Gr.writable=!1}return Gr.writable};function lU(e){const t={},a=new URL(e);if(a.hash&&a.hash[0]==="#")try{new URLSearchParams(a.hash.substring(1)).forEach((r,o)=>{t[o]=r})}catch{}return a.searchParams.forEach((n,r)=>{t[r]=n}),t}const US=e=>e?(...t)=>e(...t):(...t)=>fetch(...t),cU=e=>typeof e=="object"&&e!==null&&"status"in e&&"ok"in e&&"json"in e&&typeof e.json=="function",Xo=async(e,t,a)=>{await e.setItem(t,JSON.stringify(a))},Fr=async(e,t)=>{const a=await e.getItem(t);if(!a)return null;try{return JSON.parse(a)}catch{return a}},gt=async(e,t)=>{await e.removeItem(t)};class Gu{constructor(){this.promise=new Gu.promiseConstructor((t,a)=>{this.resolve=t,this.reject=a})}}Gu.promiseConstructor=Promise;function Rc(e){const t=e.split(".");if(t.length!==3)throw new Wm("Invalid JWT structure");for(let n=0;n<t.length;n++)if(!Yq.test(t[n]))throw new Wm("JWT not in base64url format");return{header:JSON.parse(tw(t[0])),payload:JSON.parse(tw(t[1])),signature:Si(t[2]),raw:{header:t[0],payload:t[1]}}}async function dU(e){return await new Promise(t=>{setTimeout(()=>t(null),e)})}function uU(e,t){return new Promise((n,r)=>{(async()=>{for(let o=0;o<1/0;o++)try{const s=await e(o);if(!t(o,null,s)){n(s);return}}catch(s){if(!t(o,s)){r(s);return}}})()})}function hU(e){return("0"+e.toString(16)).substr(-2)}function pU(){const t=new Uint32Array(56);if(typeof crypto>"u"){const a="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-._~",n=a.length;let r="";for(let o=0;o<56;o++)r+=a.charAt(Math.floor(Math.random()*n));return r}return crypto.getRandomValues(t),Array.from(t,hU).join("")}async function mU(e){const a=new TextEncoder().encode(e),n=await crypto.subtle.digest("SHA-256",a),r=new Uint8Array(n);return Array.from(r).map(o=>String.fromCharCode(o)).join("")}async function fU(e){if(!(typeof crypto<"u"&&typeof crypto.subtle<"u"&&typeof TextEncoder<"u"))return console.warn("WebCrypto API is not supported. Code challenge method will default to use plain instead of sha256."),e;const a=await mU(e);return btoa(a).replace(/\+/g,"-").replace(/\//g,"_").replace(/=+$/,"")}async function Ho(e,t,a=!1){const n=pU();let r=n;a&&(r+="/PASSWORD_RECOVERY"),await Xo(e,`${t}-code-verifier`,r);const o=await fU(n);return[o,n===o?"plain":"s256"]}const gU=/^2[0-9]{3}-(0[1-9]|1[0-2])-(0[1-9]|1[0-9]|2[0-9]|3[0-1])$/i;function yU(e){const t=e.headers.get(Bm);if(!t||!t.match(gU))return null;try{return new Date(`${t}T00:00:00.0Z`)}catch{return null}}function vU(e){if(!e)throw new Error("Missing exp claim");const t=Math.floor(Date.now()/1e3);if(e<=t)throw new Error("JWT has expired")}function bU(e){switch(e){case"RS256":return{name:"RSASSA-PKCS1-v1_5",hash:{name:"SHA-256"}};case"ES256":return{name:"ECDSA",namedCurve:"P-256",hash:{name:"SHA-256"}};default:throw new Error("Invalid alg claim")}}const wU=/^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/;function Bo(e){if(!wU.test(e))throw new Error("@supabase/auth-js: Expected parameter to be UUID but is not")}function ep(){const e={};return new Proxy(e,{get:(t,a)=>{if(a==="__isUserNotAvailableProxy")return!0;if(typeof a=="symbol"){const n=a.toString();if(n==="Symbol(Symbol.toPrimitive)"||n==="Symbol(Symbol.toStringTag)"||n==="Symbol(util.inspect.custom)")return}throw new Error(`@supabase/auth-js: client was created with userStorage option and there was no user stored in the user storage. Accessing the "${a}" property of the session object is not supported. Please use getUser() instead.`)},set:(t,a)=>{throw new Error(`@supabase/auth-js: client was created with userStorage option and there was no user stored in the user storage. Setting the "${a}" property of the session object is not supported. Please use getUser() to fetch a user object you can manipulate.`)},deleteProperty:(t,a)=>{throw new Error(`@supabase/auth-js: client was created with userStorage option and there was no user stored in the user storage. Deleting the "${a}" property of the session object is not supported. Please use getUser() to fetch a user object you can manipulate.`)}})}function xU(e,t){return new Proxy(e,{get:(a,n,r)=>{if(n==="__isInsecureUserWarningProxy")return!0;

460if(typeof n=="symbol"){const o=n.toString();if(o==="Symbol(Symbol.toPrimitive)"||o==="Symbol(Symbol.toStringTag)"||o==="Symbol(util.inspect.custom)"||o==="Symbol(nodejs.util.inspect.custom)")return Reflect.get(a,n,r)}return!t.value&&typeof n=="string"&&(console.warn("Using the user object as returned from supabase.auth.getSession() or from some supabase.auth.onAuthStateChange() events could be insecure! This value comes directly from the storage medium (usually cookies on the server) and may not be authentic. 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a.weak_password=="object"&&a.weak_password&&Array.isArray(a.weak_password.reasons)&&a.weak_password.reasons.length&&a.weak_password.reasons.reduce((o,s)=>o&&typeof s=="string",!0))throw new Zb(Wr(a),e.status,a.weak_password.reasons);throw new Qq(Wr(a),e.status||500,n)}const CU=(e,t,a,n)=>{const r={method:e,headers:(t==null?void 0:t.headers)||{}};return e==="GET"?r:(r.headers=Object.assign({"Content-Type":"application/json;charset=UTF-8"},t==null?void 0:t.headers),r.body=JSON.stringify(n),Object.assign(Object.assign({},r),a))};async function ce(e,t,a,n){var r;const o=Object.assign({},n==null?void 0:n.headers);o[Bm]||(o[Bm]=DS["2024-01-01"].name),n!=null&&n.jwt&&(o.Authorization=`Bearer ${n.jwt}`);const s=(r=n==null?void 0:n.query)!==null&&r!==void 0?r:{};n!=null&&n.redirectTo&&(s.redirect_to=n.redirectTo);const l=Object.keys(s).length?"?"+new URLSearchParams(s).toString():"",c=await SU(e,t,a+l,{headers:o,noResolveJson:n==null?void 0:n.noResolveJson},{},n==null?void 0:n.body);return 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PU(e){const{action_link:t,email_otp:a,hashed_token:n,redirect_to:r,verification_type:o}=e,s=ls(e,["action_link","email_otp","hashed_token","redirect_to","verification_type"]),l={action_link:t,email_otp:a,hashed_token:n,redirect_to:r,verification_type:o},c=Object.assign({},s);return{data:{properties:l,user:c},error:null}}function ow(e){return e}function TU(e){return e.access_token&&e.refresh_token&&e.expires_in}const tp=["global","local","others"];class IU{constructor({url:t="",headers:a={},fetch:n}){this.url=t,this.headers=a,this.fetch=US(n),this.mfa={listFactors:this._listFactors.bind(this),deleteFactor:this._deleteFactor.bind(this)},this.oauth={listClients:this._listOAuthClients.bind(this),createClient:this._createOAuthClient.bind(this),getClient:this._getOAuthClient.bind(this),updateClient:this._updateOAuthClient.bind(this),deleteClient:this._deleteOAuthClient.bind(this),regenerateClientSecret:this._regenerateOAuthClientSecret.bind(this)}}async signOut(t,a=tp[0]){if(tp.indexOf(a)<0)throw new Error(`@supabase/auth-js: Parameter scope must be one of ${tp.join(", ")}`);try{return await ce(this.fetch,"POST",`${this.url}/logout?scope=${a}`,{headers:this.headers,jwt:t,noResolveJson:!0}),{data:null,error:null}}catch(n){if(ne(n))return{data:null,error:n};throw n}}async inviteUserByEmail(t,a={}){try{return await ce(this.fetch,"POST",`${this.url}/invite`,{body:{email:t,data:a.data},headers:this.headers,redirectTo:a.redirectTo,xform:Xn})}catch(n){if(ne(n))return{data:{user:null},error:n};throw n}}async generateLink(t){try{const{options:a}=t,n=ls(t,["options"]),r=Object.assign(Object.assign({},n),a);return"newEmail"in n&&(r.new_email=n==null?void 0:n.newEmail,delete r.newEmail),await ce(this.fetch,"POST",`${this.url}/admin/generate_link`,{body:r,headers:this.headers,xform:PU,redirectTo:a==null?void 0:a.redirectTo})}catch(a){if(ne(a))return{data:{properties:null,user:null},error:a};throw a}}async createUser(t){try{return await ce(this.fetch,"POST",`${this.url}/admin/users`,{body:t,headers:this.headers,xform:Xn})}catch(a){if(ne(a))return{data:{user:null},error:a};throw a}}async listUsers(t){var a,n,r,o,s,l,c;try{const d={nextPage:null,lastPage:0,total:0},u=await ce(this.fetch,"GET",`${this.url}/admin/users`,{headers:this.headers,noResolveJson:!0,query:{page:(n=(a=t==null?void 0:t.page)===null||a===void 0?void 0:a.toString())!==null&&n!==void 0?n:"",per_page:(o=(r=t==null?void 0:t.perPage)===null||r===void 0?void 0:r.toString())!==null&&o!==void 0?o:""},xform:ow});if(u.error)throw u.error;const h=await u.json(),m=(s=u.headers.get("x-total-count"))!==null&&s!==void 0?s:0,p=(c=(l=u.headers.get("link"))===null||l===void 0?void 0:l.split(","))!==null&&c!==void 0?c:[];return p.length>

4600&&(p.forEach(b=>{const g=parseInt(b.split(";")[0].split("=")[1].substring(0,1)),v=JSON.parse(b.split(";")[1].split("=")[1]);d[`${v}Page`]=g}),d.total=parseInt(m)),{data:Object.assign(Object.assign({},h),d),error:null}}catch(d){if(ne(d))return{data:{users:[]},error:d};throw d}}async getUserById(t){Bo(t);try{return await ce(this.fetch,"GET",`${this.url}/admin/users/${t}`,{headers:this.headers,xform:Xn})}catch(a){if(ne(a))return{data:{user:null},error:a};throw a}}async updateUserById(t,a){Bo(t);try{return await ce(this.fetch,"PUT",`${this.url}/admin/users/${t}`,{body:a,headers:this.headers,xform:Xn})}catch(n){if(ne(n))return{data:{user:null},error:n};throw n}}async deleteUser(t,a=!1){Bo(t);try{return await ce(this.fetch,"DELETE",`${this.url}/admin/users/${t}`,{headers:this.headers,body:{should_soft_delete:a},xform:Xn})}catch(n){if(ne(n))return{data:{user:null},error:n};throw n}}async _listFactors(t){Bo(t.userId);try{const{data:a,error:n}=await ce(this.fetch,"GET",`${this.url}/admin/users/${t.userId}/factors`,{headers:this.headers,xform:r=>({data:{factors:r},error:null})});return{data:a,error:n}}catch(a){if(ne(a))return{data:null,error:a};throw a}}async _deleteFactor(t){Bo(t.userId),Bo(t.id);try{return{data:await ce(this.fetch,"DELETE",`${this.url}/admin/users/${t.userId}/factors/${t.id}`,{headers:this.headers}),error:null}}catch(a){if(ne(a))return{data:null,error:a};throw a}}async _listOAuthClients(t){var a,n,r,o,s,l,c;try{const d={nextPage:null,lastPage:0,total:0},u=await ce(this.fetch,"GET",`${this.url}/admin/oauth/clients`,{headers:this.headers,noResolveJson:!0,query:{page:(n=(a=t==null?void 0:t.page)===null||a===void 0?void 0:a.toString())!==null&&n!==void 0?n:"",per_page:(o=(r=t==null?void 0:t.perPage)===null||r===void 0?void 0:r.toString())!==null&&o!==void 0?o:""},xform:ow});if(u.error)throw u.error;const h=await u.json(),m=(s=u.headers.get("x-total-count"))!==null&&s!==void 0?s:0,p=(c=(l=u.headers.get("link"))===null||l===void 0?void 0:l.split(","))!==null&&c!==void 0?c:[];return p.length>0&&(p.forEach(b=>{const g=parseInt(b.split(";")[0].split("=")[1].substring(0,1)),v=JSON.parse(b.split(";")[1].split("=")[1]);d[`${v}Page`]=g}),d.total=parseInt(m)),{data:Object.assign(Object.assign({},h),d),error:null}}catch(d){if(ne(d))return{data:{clients:[]},error:d};throw d}}async _createOAuthClient(t){try{return await ce(this.fetch,"POST",`${this.url}/admin/oauth/clients`,{body:t,headers:this.headers,xform:a=>({data:a,error:null})})}catch(a){if(ne(a))return{data:null,error:a};throw a}}async _getOAuthClient(t){try{return await ce(this.fetch,"GET",`${this.url}/admin/oauth/clients/${t}`,{headers:this.headers,xform:a=>({data:a,error:null})})}catch(a){if(ne(a))return{data:null,error:a};throw a}}async _updateOAuthClient(t,a){try{return await ce(this.fetch,"PUT",`${this.url}/admin/oauth/clients/${t}`,{body:a,headers:this.headers,xform:n=>({data:n,error:null})})}catch(n){if(ne(n))return{data:null,error:n};throw n}}async _deleteOAuthClient(t){try{return await ce(this.fetch,"DELETE",`${this.url}/admin/oauth/clients/${t}`,{headers:this.headers,noResolveJson:!0}),{data:null,error:null}}catch(a){if(ne(a))return{data:null,error:a};throw a}}async _regenerateOAuthClientSecret(t){try{return await ce(this.fetch,"POST",`${this.url}/admin/oauth/clients/${t}/regenerate_secret`,{headers:this.headers,xform:a=>({data:a,error:null})})}catch(a){if(ne(a))return{data:null,error:a};throw a}}}function iw(e={}){return{getItem:t=>e[t]||null,setItem:(t,a)=>{e[t]=a},removeItem:t=>{delete e[t]}}}const Vo={debug:!!(globalThis&&qS()&&globalThis.localStorage&&globalThis.localStorage.getItem("supabase.gotrue-js.locks.debug")==="true")};class MS extends Error{constructor(t){super(t),this.isAcquireTimeout=!0}}class jU extends MS{}async function NU(e,t,a){Vo.debug&&console.log("@supabase/gotrue-js: navigatorLock: acquire lock",e,t);const n=new globalThis.AbortController;return t>0&&setTimeout(()=>{n.abort(),Vo.debug&&console.log("@supabase/gotrue-js: navigatorLock acquire timed out",e)},t),await Promise.resolve().then(()=>globalThis.navigator.locks.request(e,t===0?{mode:"exclusive",ifAvailable:!0}:{mode:"exclusive",signal:n.signal},async r=>{if(r){Vo.debug&&console.log("@supabase/gotrue-js: navigatorLock: acquired",e,r.name);try{return await a()}finally{Vo.debug&&console.log("@supabase/gotrue-js: navigatorLock: released",e,r.name)}

460}else{if(t===0)throw Vo.debug&&console.log("@supabase/gotrue-js: navigatorLock: not immediately available",e),new jU(`Acquiring an exclusive Navigator LockManager lock "${e}" immediately failed`);if(Vo.debug)try{const o=await globalThis.navigator.locks.query();console.log("@supabase/gotrue-js: Navigator LockManager state",JSON.stringify(o,null,"  "))}catch(o){console.warn("@supabase/gotrue-js: Error when querying Navigator LockManager state",o)}return console.warn("@supabase/gotrue-js: Navigator LockManager returned a null lock when using #request without ifAvailable set to true, it appears this browser is not following the LockManager spec https://developer.mozilla.org/en-US/docs/Web/API/LockManager/request"),await a()}}))}function EU(){if(typeof globalThis!="object")try{Object.defineProperty(Object.prototype,"__magic__",{get:function(){return this},configurable:!0}),__magic__.globalThis=__magic__,delete Object.prototype.__magic__}catch{typeof self<"u"&&(self.globalThis=self)}}function LS(e){if(!/^0x[a-fA-F0-9]{40}$/.test(e))throw new Error(`@supabase/auth-js: Address "${e}" is invalid.`);return e.toLowerCase()}function zU(e){return parseInt(e,16)}function RU(e){const t=new TextEncoder().encode(e);return"0x"+Array.from(t,n=>n.toString(16).padStart(2,"0")).join("")}function DU(e){var t;const{chainId:a,domain:n,expirationTime:r,issuedAt:o=new Date,nonce:s,notBefore:l,requestId:c,resources:d,scheme:u,uri:h,version:m}=e;{if(!Number.isInteger(a))throw new Error(`@supabase/auth-js: Invalid SIWE message field "chainId". Chain ID must be a EIP-155 chain ID. Provided value: ${a}`);if(!n)throw new Error('@supabase/auth-js: Invalid SIWE message field "domain". Domain must be provided.');if(s&&s.length<8)throw new Error(`@supabase/auth-js: Invalid SIWE message field "nonce". Nonce must be at least 8 characters. Provided value: ${s}`);if(!h)throw new Error('@supabase/auth-js: Invalid SIWE message field "uri". URI must be provided.');if(m!=="1")throw new Error(`@supabase/auth-js: Invalid SIWE message field "version". Version must be '1'. Provided value: ${m}`);if(!((t=e.statement)===null||t===void 0)&&t.includes(`
461`))throw new Error(`@supabase/auth-js: Invalid SIWE message field "statement". Statement must not include '\\n'. Provided value: ${e.statement}`)}const p=LS(e.address),b=u?`${u}://${n}`:n,g=e.statement?`${e.statement}
462`:"",v=`${b} wants you to sign in with your Ethereum account:
463${p}
464
465${g}`;let w=`URI: ${h}
466Version: ${m}
467Chain ID: ${a}${s?`
468Nonce: ${s}`:""}
469Issued At: ${o.toISOString()}`;if(r&&(w+=`
470Expiration Time: ${r.toISOString()}`),l&&(w+=`
471Not Before: ${l.toISOString()}`),c&&(w+=`
472Request ID: ${c}`),d){let y=`
473Resources:`;for(const x of d){if(!x||typeof x!="string")throw new Error(`@supabase/auth-js: Invalid SIWE message field "resources". Every resource must be a valid string. Provided value: ${x}`);y+=`
474- ${x}`}w+=y}return`${v}
475${w}`}class it extends Error{constructor({message:t,code:a,cause:n,name:r}){var o;super(t,{cause:n}),this.__isWebAuthnError=!0,this.name=(o=r??(n instanceof Error?n.name:void 0))!==null&&o!==void 0?o:"Unknown Error",this.code=a}}class Bd extends it{constructor(t,a){super({code:"ERROR_PASSTHROUGH_SEE_CAUSE_PROPERTY",cause:a,message:t}),this.name="WebAuthnUnknownError",this.originalError=a}}function _U({error:e,options:t}){var a,n,r;const{publicKey:o}=t;if(!o)throw Error("options was missing required publicKey property");if(e.name==="AbortError"){if(t.signal instanceof AbortSignal)return new it({message:"Registration ceremony was sent an abort signal",code:"ERROR_CEREMONY_ABORTED",cause:e})}else if(e.name==="ConstraintError"){if(((a=o.authenticatorSelection)===null||a===void 0?void 0:a.requireResidentKey)===!0)return new it({message:"Discoverable credentials were required but no available authenticator supported it",code:"ERROR_AUTHENTICATOR_MISSING_DISCOVERABLE_CREDENTIAL_SUPPORT",cause:e});if(t.mediation==="conditional"&&((n=o.authenticatorSelection)===null||n===void 0?void 0:n.userVerification)==="required")return new it({message:"User verification was required during automatic registration but it could not be performed",code:"ERROR_AUTO_REGISTER_USER_VERIFICATION_FAILURE",cause:e});if(((r=o.authenticatorSelection)===null||r===void 0?void 0:r.userVerification)==="required")return new it({message:"User verification was required but no available authenticator supported it",code:"ERROR_AUTHENTICATOR_MISSING_USER_VERIFICATION_SUPPORT",cause:e})}else{if(e.name==="InvalidStateError")return new it({message:"The authenticator was previously registered",code:"ERROR_AUTHENTICATOR_PREVIOUSLY_REGISTERED",cause:e});if(e.name==="NotAllowedError")return new it({message:e.message,code:"ERROR_PASSTHROUGH_SEE_CAUSE_PROPERTY",cause:e});if(e.name==="NotSupportedError")return o.pubKeyCredParams.filter(l=>l.type==="public-key").length===0?new it({message:'No entry in pubKeyCredParams was of type "public-key"',code:"ERROR_MALFORMED_PUBKEYCREDPARAMS",cause:e}):new it({message:"No available authenticator supported any of the specified pubKeyCredParams algorithms",code:"ERROR_AUTHENTICATOR_NO_SUPPORTED_PUBKEYCREDPARAMS_ALG",cause:e});if(e.name==="SecurityError"){const s=window.location.hostname;if(OS(s)){if(o.rp.id!==s)return new it({message:`The RP ID "${o.rp.id}

475" is invalid for this domain`,code:"ERROR_INVALID_RP_ID",cause:e})}else return new it({message:`${window.location.hostname} is an invalid domain`,code:"ERROR_INVALID_DOMAIN",cause:e})}else if(e.name==="TypeError"){if(o.user.id.byteLength<1||o.user.id.byteLength>64)return new it({message:"User ID was not between 1 and 64 characters",code:"ERROR_INVALID_USER_ID_LENGTH",cause:e})}else if(e.name==="UnknownError")return new it({message:"The authenticator was unable to process the specified options, or could not create a new credential",code:"ERROR_AUTHENTICATOR_GENERAL_ERROR",cause:e})}return new it({message:"a Non-Webauthn related error has occurred",code:"ERROR_PASSTHROUGH_SEE_CAUSE_PROPERTY",cause:e})}function qU({error:e,options:t}){const{publicKey:a}=t;if(!a)throw Error("options was missing required publicKey property");if(e.name==="AbortError"){if(t.signal instanceof AbortSignal)return new it({message:"Authentication ceremony was sent an abort signal",code:"ERROR_CEREMONY_ABORTED",cause:e})}else{if(e.name==="NotAllowedError")return new it({message:e.message,code:"ERROR_PASSTHROUGH_SEE_CAUSE_PROPERTY",cause:e});if(e.name==="SecurityError"){const n=window.location.hostname;if(OS(n)){if(a.rpId!==n)return new it({message:`The RP ID "${a.rpId}" is invalid for this domain`,code:"ERROR_INVALID_RP_ID",cause:e})}else return new it({message:`${window.location.hostname} is an invalid domain`,code:"ERROR_INVALID_DOMAIN",cause:e})}else if(e.name==="UnknownError")return new it({message:"The authenticator was unable to process the specified options, or could not create a new assertion signature",code:"ERROR_AUTHENTICATOR_GENERAL_ERROR",cause:e})}return new it({message:"a Non-Webauthn related error has occurred",code:"ERROR_PASSTHROUGH_SEE_CAUSE_PROPERTY",cause:e})}class UU{createNewAbortSignal(){if(this.controller){const a=new Error("Cancelling existing WebAuthn API call for new one");a.name="AbortError",this.controller.abort(a)}const t=new AbortController;return this.controller=t,t.signal}cancelCeremony(){if(this.controller){const t=new Error("Manually cancelling existing WebAuthn API call");t.name="AbortError",this.controller.abort(t),this.controller=void 0}}}const MU=new UU;function LU(e){if(!e)throw new Error("Credential creation options are required");if(typeof PublicKeyCredential<"u"&&"parseCreationOptionsFromJSON"in PublicKeyCredential&&typeof PublicKeyCredential.parseCreationOptionsFromJSON=="function")return PublicKeyCredential.parseCreationOptionsFromJSON(e);const{challenge:t,user:a,excludeCredentials:n}=e,r=ls(e,["challenge","user","excludeCredentials"]),o=Si(t).buffer,s=Object.assign(Object.assign({},a),{id:Si(a.id).buffer}),l=Object.assign(Object.assign({},r),{challenge:o,user:s});if(n&&n.length>0){l.excludeCredentials=new Array(n.length);for(let c=0;c<n.length;c++){const d=n[c];l.excludeCredentials[c]=Object.assign(Object.assign({},d),{id:Si(d.id).buffer,type:d.type||"public-key",transports:d.transports})}}return l}function OU(e){if(!e)throw new Error("Credential request options are required");if(typeof PublicKeyCredential<"u"&&"parseRequestOptionsFromJSON"in PublicKeyCredential&&typeof PublicKeyCredential.parseRequestOptionsFromJSON=="function")return PublicKeyCredential.parseRequestOptionsFromJSON(e);const{challenge:t,allowCredentials:a}=e,n=ls(e,["challenge","allowCredentials"]),r=Si(t).buffer,o=Object.assign(Object.assign({},n),{challenge:r});if(a&&a.length>0){o.allowCredentials=new Array(a.length);for(let s=0;s<a.length;s++){const l=a[s];o.allowCredentials[s]=Object.assign(Object.assign({},l),{id:Si(l.id).buffer,type:l.type||"public-key",transports:l.transports})}}return o}function GU(e){var t;if("toJSON"in e&&typeof e.toJSON=="function")return e.toJSON();const a=e;return{id:e.id,rawId:e.id,response:{attestationObject:eo(new Uint8Array(e.response.attestationObject)),clientDataJSON:eo(new Uint8Array(e.response.clientDataJSON))},type:"public-key",clientExtensionResults:e.getClientExtensionResults(),authenticatorAttachment:(t=a.authenticatorAttachment)!==null&&t!==void 0?t:void 0}}function FU(e){var t;if("toJSON"in e&&typeof e.toJSON=="function")return e.toJSON();const a=e,n=e.getClientExtensionResults(),r=e.response;return{id:e.id,rawId:e.id,response:{authenticatorData:eo(new Uint8Array(r.authenticatorData)),clientDataJSON:eo(new Uint8Array(r.clientDataJSON)),signature:eo(new Uint8Array(r.signature)),userHandle:r.userHandle?eo(new Uint8Array(r.userHandle)):void 0},type:"public-key",clientExtensionResults:n,authenticatorAttachment:(t=a.authenticatorAttachment)!==null&&t!==void 0?t:void 0}}function OS(e){return e==="localhost"||/^([a-z0-9]+(-[a-z0-9]+)*\.)+[a-z]{2,}$/i.test(e)}function sw(){var e,t;return!!(yt()&&"PublicKeyCredential"in window&&window.PublicKeyCredential&&"credentials"in navigator&&typeof((e=navigator==null?void 0:navigator.credentials)===null||e===void 0?void 0:e.create)=="function"&&typeof((t=navigator==null?void 0:navigator.credentials)===null||t===void 0?void 0:t.get)=="function")}async function HU(e){try{const t=await navigator.credentials.create(e);return t?t instanceof PublicKeyCredential?{data:t,error:null}:{data:null,error:new Bd("Browser returned unexpected credential type",t)}:{data:null,error:new Bd("Empty credential response",t)}}

475catch(t){return{data:null,error:_U({error:t,options:e})}}}async function BU(e){try{const t=await navigator.credentials.get(e);return t?t instanceof PublicKeyCredential?{data:t,error:null}:{data:null,error:new Bd("Browser returned unexpected credential type",t)}:{data:null,error:new Bd("Empty credential response",t)}}catch(t){return{data:null,error:qU({error:t,options:e})}}}const VU={hints:["security-key"],authenticatorSelection:{authenticatorAttachment:"cross-platform",requireResidentKey:!1,userVerification:"preferred",residentKey:"discouraged"},attestation:"direct"},WU={userVerification:"preferred",hints:["security-key"],attestation:"direct"};function Vd(...e){const t=r=>r!==null&&typeof r=="object"&&!Array.isArray(r),a=r=>r instanceof ArrayBuffer||ArrayBuffer.isView(r),n={};for(const r of e)if(r)for(const o in r){const s=r[o];if(s!==void 0)if(Array.isArray(s))n[o]=s;else if(a(s))n[o]=s;else if(t(s)){const l=n[o];t(l)?n[o]=Vd(l,s):n[o]=Vd(s)}else n[o]=s}return n}function $U(e,t){return Vd(VU,e,t||{})}function KU(e,t){return Vd(WU,e,t||{})}class YU{constructor(t){this.client=t,this.enroll=this._enroll.bind(this),this.challenge=this._challenge.bind(this),this.verify=this._verify.bind(this),this.authenticate=this._authenticate.bind(this),this.register=this._register.bind(this)}async _enroll(t){return this.client.mfa.enroll(Object.assign(Object.assign({},t),{factorType:"webauthn"}))}async _challenge({factorId:t,webauthn:a,friendlyName:n,signal:r},o){var s;try{const{data:l,error:c}=await this.client.mfa.challenge({factorId:t,webauthn:a});if(!l)return{data:null,error:c};const d=r??MU.createNewAbortSignal();if(l.webauthn.type==="create"){const{user:u}=l.webauthn.credential_options.publicKey;if(!u.name){const h=n;if(h)u.name=`${u.id}:${h}`;else{const p=(await this.client.getUser()).data.user,b=((s=p==null?void 0:p.user_metadata)===null||s===void 0?void 0:s.name)||(p==null?void 0:p.email)||(p==null?void 0:p.id)||"User";u.name=`${u.id}:${b}`}}u.displayName||(u.displayName=u.name)}switch(l.webauthn.type){case"create":{const u=$U(l.webauthn.credential_options.publicKey,o==null?void 0:o.create),{data:h,error:m}=await HU({publicKey:u,signal:d});return h?{data:{factorId:t,challengeId:l.id,webauthn:{type:l.webauthn.type,credential_response:h}},error:null}:{data:null,error:m}}case"request":{const u=KU(l.webauthn.credential_options.publicKey,o==null?void 0:o.request),{data:h,error:m}=await BU(Object.assign(Object.assign({},l.webauthn.credential_options),{publicKey:u,signal:d}));return h?{data:{factorId:t,challengeId:l.id,webauthn:{type:l.webauthn.type,credential_response:h}},error:null}:{data:null,error:m}}}}catch(l){return ne(l)?{data:null,error:l}:{data:null,error:new Kr("Unexpected error in challenge",l)}}}async _verify({challengeId:t,factorId:a,webauthn:n}){return this.client.mfa.verify({factorId:a,challengeId:t,webauthn:n})}async _authenticate({factorId:t,webauthn:{rpId:a=typeof window<"u"?window.location.hostname:void 0,rpOrigins:n=typeof window<"u"?[window.location.origin]:void 0,signal:r}={}},o){if(!a)return{data:null,error:new jl("rpId is required for WebAuthn authentication")};try{if(!sw())return{data:null,error:new Kr("Browser does not support WebAuthn",null)};const{data:s,error:l}=await this.challenge({factorId:t,webauthn:{rpId:a,rpOrigins:n},signal:r},{request:o});if(!s)return{data:null,error:l};const{webauthn:c}=s;return this._verify({factorId:t,challengeId:s.challengeId,webauthn:{type:c.type,rpId:a,rpOrigins:n,credential_response:c.credential_response}})}catch(s){return ne(s)?{data:null,error:s}:{data:null,error:new Kr("Unexpected error in authenticate",s)}}}async _register({friendlyName:t,webauthn:{rpId:a=typeof window<"u"?window.location.hostname:void 0,rpOrigins:n=typeof window<"u"?[window.location.origin]:void 0,signal:r}={}},o){if(!a)return{data:null,error:new jl("rpId is required for WebAuthn registration")};try{if(!sw())return{data:null,error:new Kr("Browser does not support WebAuthn",null)};const{data:s,error:l}=await this._enroll({friendlyName:t});if(!s)return await this.client.mfa.listFactors().then(u=>{var h;

475return(h=u.data)===null||h===void 0?void 0:h.all.find(m=>m.factor_type==="webauthn"&&m.friendly_name===t&&m.status!=="unverified")}).then(u=>u?this.client.mfa.unenroll({factorId:u==null?void 0:u.id}):void 0),{data:null,error:l};const{data:c,error:d}=await this._challenge({factorId:s.id,friendlyName:s.friendly_name,webauthn:{rpId:a,rpOrigins:n},signal:r},{create:o});return c?this._verify({factorId:s.id,challengeId:c.challengeId,webauthn:{rpId:a,rpOrigins:n,type:c.webauthn.type,credential_response:c.webauthn.credential_response}}):{data:null,error:d}}catch(s){return ne(s)?{data:null,error:s}:{data:null,error:new Kr("Unexpected error in register",s)}}}}EU();const JU={url:Wq,storageKey:$q,autoRefreshToken:!0,persistSession:!0,detectSessionInUrl:!0,headers:Kq,flowType:"implicit",debug:!1,hasCustomAuthorizationHeader:!1,throwOnError:!1,lockAcquireTimeout:1e4};async function lw(e,t,a){return await a()}const Wo={};class Nl{get jwks(){var t,a;return(a=(t=Wo[this.storageKey])===null||t===void 0?void 0:t.jwks)!==null&&a!==void 0?a:{keys:[]}}set jwks(t){Wo[this.storageKey]=Object.assign(Object.assign({},Wo[this.storageKey]),{jwks:t})}get jwks_cached_at(){var t,a;return(a=(t=Wo[this.storageKey])===null||t===void 0?void 0:t.cachedAt)!==null&&a!==void 0?a:Number.MIN_SAFE_INTEGER}set jwks_cached_at(t){Wo[this.storageKey]=Object.assign(Object.assign({},Wo[this.storageKey]),{cachedAt:t})}constructor(t){var a,n,r;this.userStorage=null,this.memoryStorage=null,this.stateChangeEmitters=new Map,this.autoRefreshTicker=null,this.autoRefreshTickTimeout=null,this.visibilityChangedCallback=null,this.refreshingDeferred=null,this.initializePromise=null,this.detectSessionInUrl=!0,this.hasCustomAuthorizationHeader=!1,this.suppressGetSessionWarning=!1,this.lockAcquired=!1,this.pendingInLock=[],this.broadcastChannel=null,this.logger=console.log;const o=Object.assign(Object.assign({},JU),t);if(this.storageKey=o.storageKey,this.instanceID=(a=Nl.nextInstanceID[this.storageKey])!==null&&a!==void 0?a:0,Nl.nextInstanceID[this.storageKey]=this.instanceID+1,this.logDebugMessages=!!o.debug,typeof o.debug=="function"&&(this.logger=o.debug),this.instanceID>0&&yt()){const s=`${this._logPrefix()} Multiple GoTrueClient instances detected in the same browser context. It is not an error, but this should be avoided as it may produce undefined behavior when used concurrently under the same storage key.`;console.warn(s),this.logDebugMessages&&console.trace(s)}if(this.persistSession=o.persistSession,this.autoRefreshToken=o.autoRefreshToken,this.admin=new IU({url:o.url,headers:o.headers,fetch:o.fetch}),this.url=o.url,this.headers=o.headers,this.fetch=US(o.fetch),this.lock=o.lock||lw,this.detectSessionInUrl=o.detectSessionInUrl,this.flowType=o.flowType,this.hasCustomAuthorizationHeader=o.hasCustomAuthorizationHeader,this.throwOnError=o.throwOnError,this.lockAcquireTimeout=o.lockAcquireTimeout,o.lock?this.lock=o.lock:this.persistSession&&yt()&&(!((n=globalThis==null?void 0:globalThis.navigator)===null||n===void 0)&&n.locks)?this.lock=NU:this.lock=lw,this.jwks||(this.jwks={keys:[]},this.jwks_cached_at=Number.MIN_SAFE_INTEGER),this.mfa={verify:this._verify.bind(this),enroll:this._enroll.bind(this),unenroll:this._unenroll.bind(this),challenge:this._challenge.bind(this),listFactors:this._listFactors.bind(this),challengeAndVerify:this._challengeAndVerify.bind(this),getAuthenticatorAssuranceLevel:this._getAuthenticatorAssuranceLevel.bind(this),webauthn:new YU(this)},this.oauth={getAuthorizationDetails:this._getAuthorizationDetails.bind(this),approveAuthorization:this._approveAuthorization.bind(this),denyAuthorization:this._denyAuthorization.bind(this),listGrants:this._listOAuthGrants.bind(this),revokeGrant:this._revokeOAuthGrant.bind(this)},this.persistSession?(o.storage?this.storage=o.storage:qS()?this.storage=globalThis.localStorage:(this.memoryStorage={},this.storage=iw(this.memoryStorage)),o.userStorage&&(this.userStorage=o.userStorage)):(this.memoryStorage={},this.storage=iw(this.memoryStorage)),yt()&&globalThis.BroadcastChannel&&this.persistSession&&this.storageKey){try{this.broadcastChannel=new globalThis.BroadcastChannel(this.storageKey)}catch(s){console.error("Failed to create a new BroadcastChannel, multi-tab state changes will not be available",s)}(r=this.broadcastChannel)===null||r===void 0||r.addEventListener("message",async s=>{this._debug("received broadcast notification from other tab or client",s);try{await this._notifyAllSubscribers(s.data.event,s.data.session,!1)}catch(l){this._debug("#broadcastChannel","error",l)}})}this.initialize().catch(s=>{this._debug("#initialize()","error",s)})}isThrowOnErrorEnabled(){return this.throwOnError}_returnResult(t){if(this.throwOnError&&t&&t.error)throw t.error;return t}_logPrefix(){return`GoTrueClient@${this.storageKey}:${this.instanceID} (${RS}) ${new Date().toISOString()}`}_debug(...t){return this.logDebugMessages&&this.logger(this._logPrefix(),...t),this}async initialize(){return this.initializePromise?await this.initializePromise:(this.initializePromise=(async()=>await this._acquireLock(this.lockAcquireTimeout,async()=>await this._initialize()))(),await this.initializePromise)}async _initialize(){var t;try{let a={},n="none";if(yt()&&(a=lU(window.location.href),this._isImplicitGrantCallback(a)?n="implicit":await this._isPKCECallback(a)&&(n="pkce")),yt()&&this.detectSessionInUrl&&n!=="none"){const{data:r,error:o}=await this._getSessionFromURL(a,n);if(o){if(this._debug("#_initialize()","error detecting session from URL",o),Xq(o)){const c=(t=o.details)===null||t===void 0?void 0:t.code;if(c==="identity_already_exists"||c==="identity_not_found"||c==="single_identity_not_deletable")return{error:o}}return{error:o}}const{session:s,redirectType:l}=r;return this._debug("#_initialize()","detected session in URL",s,"redirect type",l),await this._saveSession(s),setTimeout(async()=>{l==="recovery"?await this._notifyAllSubscribers("PASSWORD_RECOVERY",s):await this._notifyAllSubscribers("SIGNED_IN",s)},0),{error:null}}return await this._recoverAndRefresh(),{error:null}}catch(a){return ne(a)?this._returnResult({error:a}):this._returnResult({error:new Kr("Unexpected error during initialization",a)})}finally{await this._handleVisibilityChange(),this._debug("#_initialize()","end")}}async signInAnonymously(t){var a,n,r;try{const o=await ce(this.fetch,"POST",`${this.url}/signup`,{headers:this.headers,body:{data:(n=(a=t==null?void 0:t.options)===null||a===void 0?void 0:a.data)!==null&&n!==void 0?n:{},gotrue_meta_security:{captcha_token:(r=t==null?void 0:t.options)===null||r===void 0?void 0:r.captchaToken}},xform:Na}),{data:s,error:l}=o;if(l||!s)return this._returnResult({data:{user:null,session:null},error:l});const c=s.session,d=s.user;return s.session&&(await this._saveSession(s.session),await this._notifyAllSubscribers("SIGNED_IN",c)),this._returnResult({data:{user:d,session:c},error:null})}catch(o){if(ne(o))return this._returnResult({data:{user:null,session:null},error:o});throw o}}async signUp(t){var a,n,r;try{let o;if("email"in t){const{email:u,password:h,options:m}=t;let p=null,b=null;this.flowType==="pkce"&&([p,b]=await Ho(this.storage,this.storageKey)),o=await ce(this.fetch,"POST",`${this.url}/signup`,{headers:this.headers,redirectTo:m==null?void 0:m.emailRedirectTo,body:{email:u,password:h,data:(a=m==null?void 0:m.data)!==null&&a!==void 0?a:{},gotrue_meta_security:{captcha_token:m==null?void 0:m.captchaToken},code_challenge:p,code_challenge_method:b},xform:Na})}else if("phone"in t){const{phone:u,password:h,options:m}=t;o=await ce(this.fetch,"POST",`${this.url}/signup`,{headers:this.headers,body:{phone:u,password:h,data:(n=m==null?void 0:m.data)!==null&&n!==void 0?n:{},channel:(r=m==null?void 0:m.channel)!==null&&r!==void 0?r:"sms",gotrue_meta_security:{captcha_token:m==null?void 0:m.captchaToken}},xform:Na})}else throw new Ec("You must provide either an email or phone number and a password");const{data:s,error:l}=o;if(l||!s)return await gt(this.storage,`${this.storageKey}-code-verifier`),this._returnResult({data:{user:null,session:null},error:l});const c=s.session,d=s.user;return s.session&&(await this._saveSession(s.session),await this._notifyAllSubscribers("SIGNED_IN",c)),this._returnResult({data:{user:d,session:c},error:null})}catch(o){if(await gt(this.storage,`${this.storageKey}-code-verifier`),ne(o))return this._returnResult({data:{user:null,session:null},error:o});throw o}}async signInWithPassword(t){try{let a;if("email"in t){const{email:o,password:s,options:l}=t;a=await ce(this.fetch,"POST",`${this.url}/token?grant_type=password`,{headers:this.headers,body:{email:o,password:s,gotrue_meta_security:{captcha_token:l==null?void 0:l.captchaToken}},xform:rw})}else if("phone"in t){const{phone:o,password:s,options:l}=t;a=await ce(this.fetch,"POST",`${this.url}/token?grant_type=password`,{headers:this.headers,body:{phone:o,password:s,gotrue_meta_security:{captcha_token:l==null?void 0:l.captchaToken}},xform:rw})}else throw new Ec("You must provide either an email or phone number and a password");const{data:n,error:r}=a;if(r)return this._returnResult({data:{user:null,session:null},error:r});if(!n||!n.session||!n.user){const o=new Fo;return this._returnResult({data:{user:null,session:null},error:o})}return n.session&&(await this._saveSession(n.session),await this._notifyAllSubscribers("SIGNED_IN",n.session)),this._returnResult({data:Object.assign({user:n.user,session:n.session},n.weak_password?{weakPassword:n.weak_password}:null),error:r})}catch(a){if(ne(a))return this._returnResult({data:{user:null,session:null},error:a});throw a}}async signInWithOAuth(t){var a,n,r,o;return await this._handleProviderSignIn(t.provider,{redirectTo:(a=t.options)===null||a===void 0?void 0:a.redirectTo,scopes:(n=t.options)===null||n===void 0?void 0:n.scopes,queryParams:(r=t.options)===null||r===void 0?void 0:r.queryParams,skipBrowserRedirect:(o=t.o

475ptions)===null||o===void 0?void 0:o.skipBrowserRedirect})}async exchangeCodeForSession(t){return await this.initializePromise,this._acquireLock(this.lockAcquireTimeout,async()=>this._exchangeCodeForSession(t))}async signInWithWeb3(t){const{chain:a}=t;switch(a){case"ethereum":return await this.signInWithEthereum(t);case"solana":return await this.signInWithSolana(t);default:throw new Error(`@supabase/auth-js: Unsupported chain "${a}"`)}}async signInWithEthereum(t){var a,n,r,o,s,l,c,d,u,h,m;let p,b;if("message"in t)p=t.message,b=t.signature;else{const{chain:g,wallet:v,statement:w,options:y}=t;let x;if(yt())if(typeof v=="object")x=v;else{const I=window;if("ethereum"in I&&typeof I.ethereum=="object"&&"request"in I.ethereum&&typeof I.ethereum.request=="function")x=I.ethereum;else throw new Error("@supabase/auth-js: No compatible Ethereum wallet interface on the window object (window.ethereum) detected. Make sure the user already has a wallet installed and connected for this app. Prefer passing the wallet interface object directly to signInWithWeb3({ chain: 'ethereum', wallet: resolvedUserWallet }) instead.")}else{if(typeof v!="object"||!(y!=null&&y.url))throw new Error("@supabase/auth-js: Both wallet and url must be specified in non-browser environments.");x=v}const k=new URL((a=y==null?void 0:y.url)!==null&&a!==void 0?a:window.location.href),C=await x.request({method:"eth_requestAccounts"}).then(I=>I).catch(()=>{throw new Error("@supabase/auth-js: Wallet method eth_requestAccounts is missing or invalid")});if(!C||C.length===0)throw new Error("@supabase/auth-js: No accounts available. Please ensure the wallet is connected.");const S=LS(C[0]);let A=(n=y==null?void 0:y.signInWithEthereum)===null||n===void 0?void 0:n.chainId;if(!A){const I=await x.request({method:"eth_chainId"});A=zU(I)}const P={domain:k.host,address:S,statement:w,uri:k.href,version:"1",chainId:A,nonce:(r=y==null?void 0:y.signInWithEthereum)===null||r===void 0?void 0:r.nonce,issuedAt:(s=(o=y==null?void 0:y.signInWithEthereum)===null||o===void 0?void 0:o.issuedAt)!==null&&s!==void 0?s:new Date,expirationTime:(l=y==null?void 0:y.signInWithEthereum)===null||l===void 0?void 0:l.expirationTime,notBefore:(c=y==null?void 0:y.signInWithEthereum)===null||c===void 0?void 0:c.notBefore,requestId:(d=y==null?void 0:y.signInWithEthereum)===null||d===void 0?void 0:d.requestId,resources:(u=y==null?void 0:y.signInWithEthereum)===null||u===void 0?void 0:u.resources};p=DU(P),b=await x.request({method:"personal_sign",params:[RU(p),S]})}try{const{data:g,error:v}=await ce(this.fetch,"POST",`${this.url}/token?grant_type=web3`,{headers:this.headers,body:Object.assign({chain:"ethereum",message:p,signature:b},!((h=t.options)===null||h===void 0)&&h.captchaToken?{gotrue_meta_security:{captcha_token:(m=t.options)===null||m===void 0?void 0:m.captchaToken}}:null),xform:Na});if(v)throw v;if(!g||!g.session||!g.user){const w=new Fo;return this._returnResult({data:{user:null,session:null},error:w})}return g.session&&(await this._saveSession(g.session),await this._notifyAllSubscribers("SIGNED_IN",g.session)),this._returnResult({data:Object.assign({},g),error:v})}catch(g){if(ne(g))return this._returnResult({data:{user:null,session:null},error:g});throw g}}async signInWithSolana(t){var a,n,r,o,s,l,c,d,u,h,m,p;let b,g;if("message"in t)b=t.message,g=t.signature;else{const{chain:v,wallet:w,statement:y,options:x}=t;let k;if(yt())if(typeof w=="object")k=w;else{const S=window;if("solana"in S&&typeof S.solana=="object"&&("signIn"in S.solana&&typeof S.solana.signIn=="function"||"signMessage"in S.solana&&typeof S.solana.signMessage=="function"))k=S.solana;else throw new Error("@supabase/auth-js: No compatible Solana wallet interface on the window object (window.solana) detected. Make sure the user already has a wallet installed and connected for this app. Prefer passing the wallet interface object directly to signInWithWeb3({ chain: 'solana', wallet: resolvedUserWallet }) instead.")}else{if(typeof w!="object"||!(x!=null&&x.url))throw new Error("@supabase/auth-js: Both wallet and url must be specified in non-browser environments.");k=w}const C=new URL((a=x==null?void 0:x.url)!==null&&a!==void 0?a:window.location.href);

475if("signIn"in k&&k.signIn){const S=await k.signIn(Object.assign(Object.assign(Object.assign({issuedAt:new Date().toISOString()},x==null?void 0:x.signInWithSolana),{version:"1",domain:C.host,uri:C.href}),y?{statement:y}:null));let A;if(Array.isArray(S)&&S[0]&&typeof S[0]=="object")A=S[0];else if(S&&typeof S=="object"&&"signedMessage"in S&&"signature"in S)A=S;else throw new Error("@supabase/auth-js: Wallet method signIn() returned unrecognized value");if("signedMessage"in A&&"signature"in A&&(typeof A.signedMessage=="string"||A.signedMessage instanceof Uint8Array)&&A.signature instanceof Uint8Array)b=typeof A.signedMessage=="string"?A.signedMessage:new TextDecoder().decode(A.signedMessage),g=A.signature;else throw new Error("@supabase/auth-js: Wallet method signIn() API returned object without signedMessage and signature fields")}else{if(!("signMessage"in k)||typeof k.signMessage!="function"||!("publicKey"in k)||typeof k!="object"||!k.publicKey||!("toBase58"in k.publicKey)||typeof k.publicKey.toBase58!="function")throw new Error("@supabase/auth-js: Wallet does not have a compatible signMessage() and publicKey.toBase58() API");b=[`${C.host} wants you to sign in with your Solana account:`,k.publicKey.toBase58(),...y?["",y,""]:[""],"Version: 1",`URI: ${C.href}`,`Issued At: ${(r=(n=x==null?void 0:x.signInWithSolana)===null||n===void 0?void 0:n.issuedAt)!==null&&r!==void 0?r:new Date().toISOString()}`,...!((o=x==null?void 0:x.signInWithSolana)===null||o===void 0)&&o.notBefore?[`Not Before: ${x.signInWithSolana.notBefore}`]:[],...!((s=x==null?void 0:x.signInWithSolana)===null||s===void 0)&&s.expirationTime?[`Expiration Time: ${x.signInWithSolana.expirationTime}`]:[],...!((l=x==null?void 0:x.signInWithSolana)===null||l===void 0)&&l.chainId?[`Chain ID: ${x.signInWithSolana.chainId}`]:[],...!((c=x==null?void 0:x.signInWithSolana)===null||c===void 0)&&c.nonce?[`Nonce: ${x.signInWithSolana.nonce}`]:[],...!((d=x==null?void 0:x.signInWithSolana)===null||d===void 0)&&d.requestId?[`Request ID: ${x.signInWithSolana.requestId}`]:[],...!((h=(u=x==null?void 0:x.signInWithSolana)===null||u===void 0?void 0:u.resources)===null||h===void 0)&&h.length?["Resources",...x.signInWithSolana.resources.map(A=>`- ${A}`)]:[]].join(`
476`);const S=await k.signMessage(new TextEncoder().encode(b),"utf8");if(!S||!(S instanceof Uint8Array))throw new Error("@supabase/auth-js: Wallet signMessage() API returned an recognized value");g=S}}try{const{data:v,error:w}=await ce(this.fetch,"POST",`${this.url}/token?grant_type=web3`,{headers:this.headers,body:Object.assign({chain:"solana",message:b,signature:eo(g)},!((m=t.options)===null||m===void 0)&&m.captchaToken?{gotrue_meta_security:{captcha_token:(p=t.options)===null||p===void 0?void 0:p.captchaToken}}:null),xform:Na});if(w)throw w;if(!v||!v.session||!v.user){const y=new Fo;return this._returnResult({data:{user:null,session:null},error:y})}return v.session&&(await this._saveSession(v.session),await this._notifyAllSubscribers("SIGNED_IN",v.session)),this._returnResult({data:Object.assign({},v),error:w})}catch(v){if(ne(v))return this._returnResult({data:{user:null,session:null},error:v});throw v}}async _exchangeCodeForSession(t){const a=await Fr(this.storage,`${this.storageKey}-code-verifier`),[n,r]=(a??"").split("/");try{if(!n&&this.flowType==="pkce")throw new eU;const{data:o,error:s}=await ce(this.fetch,"POST",`${this.url}/token?grant_type=pkce`,{headers:this.headers,body:{auth_code:t,code_verifier:n},xform:Na});if(await gt(this.storage,`${this.storageKey}-code-verifier`),s)throw s;if(!o||!o.session||!o.user){const l=new Fo;return this._returnResult({data:{user:null,session:null,redirectType:null},error:l})}return o.session&&(await this._saveSession(o.session),await this._notifyAllSubscribers("SIGNED_IN",o.session)),this._returnResult({data:Object.assign(Object.assign({},o),{redirectType:r??null}),error:s})}catch(o){if(await gt(this.storage,`${this.storageKey}-code-verifier`),ne(o))return this._returnResult({data:{user:null,session:null,redirectType:null},error:o});throw o}}async signInWithIdToken(t){try{const{options:a,provider:n,token:r,access_token:o,nonce:s}=t,l=await ce(this.fetch,"POST",`${this.url}/token?grant_type=id_token`,{headers:this.headers,body:{provider:n,id_token:r,access_token:o,nonce:s,gotrue_meta_security:{captcha_token:a==null?void 0:a.captchaToken}},xform:Na}),{data:c,error:d}=l;if(d)return this._returnResult({data:{user:null,session:null},error:d});if(!c||!c.session||!c.user){const u=new Fo;return this._returnResult({data:{user:null,session:null},error:u})}return c.session&&(await this._saveSession(c.session),await this._notifyAllSubscribers("SIGNED_IN",c.session)),this._returnResult({data:c,error:d})}catch(a){if(ne(a))return this._returnResult({data:{user:null,session:null},error:a});throw a}}async signInWithOtp(t){var a,n,r,o,s;try{if("email"in t){const{email:l,options:c}=t;let d=null,u=null;this.flowType==="pkce"&&([d,u]=await Ho(this.storage,this.storageKey));const{error:h}=await ce(this.fetch,"POST",`${this.url}/otp`,{headers:this.headers,body:{email:l,data:(a=c==null?void 0:c.data)!==null&&a!==void 0?a:{},create_user:(n=c==null?void 0:c.shouldCreateUser)!==null&&n!==void 0?n:!0,gotrue_meta_security:{captcha_token:c==null?void 0:c.captchaToken},code_challenge:d,code_challenge_method:u},redirectTo:c==null?void 0:c.emailRedirectTo});return this._returnResult({data:{user:null,session:null},error:h})}if("phone"in t){const{phone:l,options:c}=t,{data:d,error:u}=await ce(this.fetch,"POST",`${this.url}/otp`,{headers:this.headers,body:{phone:l,data:(r=c==null?void 0:c.data)!==null&&r!==void 0?r:{},create_user:(o=c==null?void 0:c.shouldCreateUser)!==null&&o!==void 0?o:!0,gotrue_meta_security:{captcha_token:c==null?void 0:c.captchaToken},channel:(s=c==null?void 0:c.channel)!==null&&s!==void 0?s:"sms"}});return this._returnResult({data:{user:null,session:null,messageId:d==null?void 0:d.message_id},error:u})}throw new Ec("You must provide either an email or phone number.")}catch(l){if(await gt(this.storage,`${this.storageKey}-code-verifier`),ne(l))return this._returnResult({data:{user:null,session:null},error:l});throw l}}async verifyOtp(t){var a,n;try{let r,o;

476"options"in t&&(r=(a=t.options)===null||a===void 0?void 0:a.redirectTo,o=(n=t.options)===null||n===void 0?void 0:n.captchaToken);const{data:s,error:l}=await ce(this.fetch,"POST",`${this.url}/verify`,{headers:this.headers,body:Object.assign(Object.assign({},t),{gotrue_meta_security:{captcha_token:o}}),redirectTo:r,xform:Na});if(l)throw l;if(!s)throw new Error("An error occurred on token verification.");const c=s.session,d=s.user;return c!=null&&c.access_token&&(await this._saveSession(c),await this._notifyAllSubscribers(t.type=="recovery"?"PASSWORD_RECOVERY":"SIGNED_IN",c)),this._returnResult({data:{user:d,session:c},error:null})}catch(r){if(ne(r))return this._returnResult({data:{user:null,session:null},error:r});throw r}}async signInWithSSO(t){var a,n,r,o,s;try{let l=null,c=null;this.flowType==="pkce"&&([l,c]=await Ho(this.storage,this.storageKey));const d=await ce(this.fetch,"POST",`${this.url}/sso`,{body:Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},"providerId"in t?{provider_id:t.providerId}:null),"domain"in t?{domain:t.domain}:null),{redirect_to:(n=(a=t.options)===null||a===void 0?void 0:a.redirectTo)!==null&&n!==void 0?n:void 0}),!((r=t==null?void 0:t.options)===null||r===void 0)&&r.captchaToken?{gotrue_meta_security:{captcha_token:t.options.captchaToken}}:null),{skip_http_redirect:!0,code_challenge:l,code_challenge_method:c}),headers:this.headers,xform:AU});return!((o=d.data)===null||o===void 0)&&o.url&&yt()&&!(!((s=t.options)===null||s===void 0)&&s.skipBrowserRedirect)&&window.location.assign(d.data.url),this._returnResult(d)}catch(l){if(await gt(this.storage,`${this.storageKey}-code-verifier`),ne(l))return this._returnResult({data:null,error:l});throw l}}async reauthenticate(){return await this.initializePromise,await this._acquireLock(this.lockAcquireTimeout,async()=>await this._reauthenticate())}async _reauthenticate(){try{return await this._useSession(async t=>{const{data:{session:a},error:n}=t;if(n)throw n;if(!a)throw new Kt;const{error:r}=await ce(this.fetch,"GET",`${this.url}/reauthenticate`,{headers:this.headers,jwt:a.access_token});return this._returnResult({data:{user:null,session:null},error:r})})}catch(t){if(ne(t))return this._returnResult({data:{user:null,session:null},error:t});throw t}}async resend(t){try{const a=`${this.url}/resend`;if("email"in t){const{email:n,type:r,options:o}=t,{error:s}=await ce(this.fetch,"POST",a,{headers:this.headers,body:{email:n,type:r,gotrue_meta_security:{captcha_token:o==null?void 0:o.captchaToken}},redirectTo:o==null?void 0:o.emailRedirectTo});return this._returnResult({data:{user:null,session:null},error:s})}else if("phone"in t){const{phone:n,type:r,options:o}=t,{data:s,error:l}=await ce(this.fetch,"POST",a,{headers:this.headers,body:{phone:n,type:r,gotrue_meta_security:{captcha_token:o==null?void 0:o.captchaToken}}});return this._returnResult({data:{user:null,session:null,messageId:s==null?void 0:s.message_id},error:l})}throw new Ec("You must provide either an email or phone number and a type")}catch(a){if(ne(a))return this._returnResult({data:{user:null,session:null},error:a});throw a}}async getSession(){return await this.initializePromise,await this._acquireLock(this.lockAcquireTimeout,async()=>this._useSession(async a=>a))}async _acquireLock(t,a){this._debug("#_acquireLock","begin",t);try{if(this.lockAcquired){const n=this.pendingInLock.length?this.pendingInLock[this.pendingInLock.length-1]:Promise.resolve(),r=(async()=>(await n,await a()))();return this.pendingInLock.push((async()=>{try{await r}catch{}})()),r}return await this.lock(`lock:${this.storageKey}`,t,async()=>{this._debug("#_acquireLock","lock acquired for storage key",this.storageKey);try{this.lockAcquired=!0;const n=a();for(this.pendingInLock.push((async()=>{try{await n}catch{}})()),await n;this.pendingInLock.length;){const r=[...this.pendingInLock];await Promise.all(r),this.pendingInLock.splice(0,r.length)}return await n}finally{this._debug("#_acquireLock","lock released for storage key",this.storageKey),this.lockAcquired=!1}})}finally{this._debug("#_acquireLock","end")}}async _useSession(t){this._debug("#_useSession","begin");try{const a=await this.__loadSession();return await t(a)}finally{this._debug("#_useSession","end")}}async __loadSession(){this._debug("#__loadSession()","begin"),this.lockAcquired||this._debug("#__loadSession()","used outside of an acquired lock!",new Error().stack);try{let t=null;const a=await Fr(this.storage,this.storageKey);if(this._debug("#getSession()","session from storage",a),a!==null&&(this._isValidSession(a)?t=a:(this._debug("#getSession()","session from storage is not val

476id"),await this._removeSession())),!t)return{data:{session:null},error:null};const n=t.expires_at?t.expires_at*1e3-Date.now()<Qh:!1;if(this._debug("#__loadSession()",`session has${n?"":" not"} expired`,"expires_at",t.expires_at),!n){if(this.userStorage){const s=await Fr(this.userStorage,this.storageKey+"-user");s!=null&&s.user?t.user=s.user:t.user=ep()}if(this.storage.isServer&&t.user&&!t.user.__isUserNotAvailableProxy){const s={value:this.suppressGetSessionWarning};t.user=xU(t.user,s),s.value&&(this.suppressGetSessionWarning=!0)}return{data:{session:t},error:null}}const{data:r,error:o}=await this._callRefreshToken(t.refresh_token);return o?this._returnResult({data:{session:null},error:o}):this._returnResult({data:{session:r},error:null})}finally{this._debug("#__loadSession()","end")}}async getUser(t){if(t)return await this._getUser(t);await this.initializePromise;const a=await this._acquireLock(this.lockAcquireTimeout,async()=>await this._getUser());return a.data.user&&(this.suppressGetSessionWarning=!0),a}async _getUser(t){try{return t?await ce(this.fetch,"GET",`${this.url}/user`,{headers:this.headers,jwt:t,xform:Xn}):await this._useSession(async a=>{var n,r,o;const{data:s,error:l}=a;if(l)throw l;return!(!((n=s.session)===null||n===void 0)&&n.access_token)&&!this.hasCustomAuthorizationHeader?{data:{user:null},error:new Kt}:await ce(this.fetch,"GET",`${this.url}/user`,{headers:this.headers,jwt:(o=(r=s.session)===null||r===void 0?void 0:r.access_token)!==null&&o!==void 0?o:void 0,xform:Xn})})}catch(a){if(ne(a))return Zh(a)&&(await this._removeSession(),await gt(this.storage,`${this.storageKey}-code-verifier`)),this._returnResult({data:{user:null},error:a});throw a}}async updateUser(t,a={}){return await this.initializePromise,await this._acquireLock(this.lockAcquireTimeout,async()=>await this._updateUser(t,a))}async _updateUser(t,a={}){try{return await this._useSession(async n=>{const{data:r,error:o}=n;if(o)throw o;if(!r.session)throw new Kt;const s=r.session;let l=null,c=null;this.flowType==="pkce"&&t.email!=null&&([l,c]=await Ho(this.storage,this.storageKey));const{data:d,error:u}=await ce(this.fetch,"PUT",`${this.url}/user`,{headers:this.headers,redirectTo:a==null?void 0:a.emailRedirectTo,body:Object.assign(Object.assign({},t),{code_challenge:l,code_challenge_method:c}),jwt:s.access_token,xform:Xn});if(u)throw u;return s.user=d.user,await this._saveSession(s),await this._notifyAllSubscribers("USER_UPDATED",s),this._returnResult({data:{user:s.user},error:null})})}catch(n){if(await gt(this.storage,`${this.storageKey}-code-verifier`),ne(n))return this._returnResult({data:{user:null},error:n});throw n}}async setSession(t){return await this.initializePromise,await this._acquireLock(this.lockAcquireTimeout,async()=>await this._setSession(t))}async _setSession(t){try{if(!t.access_token||!t.refresh_token)throw new Kt;const a=Date.now()/1e3;let n=a,r=!0,o=null;const{payload:s}=Rc(t.access_token);if(s.exp&&(n=s.exp,r=n<=a),r){const{data:l,error:c}=await this._callRefreshToken(t.refresh_token);if(c)return this._returnResult({data:{user:null,session:null},error:c});if(!l)return{data:{user:null,session:null},error:null};o=l}else{const{data:l,error:c}=await this._getUser(t.access_token);if(c)return this._returnResult({data:{user:null,session:null},error:c});o={access_token:t.access_token,refresh_token:t.refresh_token,user:l.user,token_type:"bearer",expires_in:n-a,expires_at:n},await this._saveSession(o),await this._notifyAllSubscribers("SIGNED_IN",o)}return this._returnResult({data:{user:o.user,session:o},error:null})}catch(a){if(ne(a))return this._returnResult({data:{session:null,user:null},error:a});throw a}}async refreshSession(t){return await this.initializePromise,await this._acquireLock(this.lockAcquireTimeout,async()=>await this._refreshSession(t))}async _refreshSession(t){try{return await this._useSession(async a=>{var n;if(!t){const{data:s,error:l}=a;if(l)throw l;t=(n=s.session)!==null&&n!==void 0?n:void 0}if(!(t!=null&&t.refresh_token))throw new Kt;const{data:r,error:o}=await this._callRefreshToken(t.refresh_token);return o?this._returnResult({data:{user:null,session:null},error:o}):r?this._returnResult({data:{user:r.user,session:r},error:null}):this._returnResult({data:{user:null,session:null},error:null})})}catch(a){if(ne(a))return this._returnResult({data:{user:null,session:null},error:a});throw a}}async _getSessionFromURL(t,a){try{if(!yt())throw new zc("No browser detected.");

476if(t.error||t.error_description||t.error_code)throw new zc(t.error_description||"Error in URL with unspecified error_description",{error:t.error||"unspecified_error",code:t.error_code||"unspecified_code"});switch(a){case"implicit":if(this.flowType==="pkce")throw new Qb("Not a valid PKCE flow url.");break;case"pkce":if(this.flowType==="implicit")throw new zc("Not a valid implicit grant flow url.");break;default:}if(a==="pkce"){if(this._debug("#_initialize()","begin","is PKCE flow",!0),!t.code)throw new Qb("No code detected.");const{data:y,error:x}=await this._exchangeCodeForSession(t.code);if(x)throw x;const k=new URL(window.location.href);return k.searchParams.delete("code"),window.history.replaceState(window.history.state,"",k.toString()),{data:{session:y.session,redirectType:null},error:null}}const{provider_token:n,provider_refresh_token:r,access_token:o,refresh_token:s,expires_in:l,expires_at:c,token_type:d}=t;if(!o||!l||!s||!d)throw new zc("No session defined in URL");const u=Math.round(Date.now()/1e3),h=parseInt(l);let m=u+h;c&&(m=parseInt(c));const p=m-u;p*1e3<=Zo&&console.warn(`@supabase/gotrue-js: Session as retrieved from URL expires in ${p}s, should have been closer to ${h}s`);const b=m-h;u-b>=120?console.warn("@supabase/gotrue-js: Session as retrieved from URL was issued over 120s ago, URL could be stale",b,m,u):u-b<0&&console.warn("@supabase/gotrue-js: Session as retrieved from URL was issued in the future? Check the device clock for skew",b,m,u);const{data:g,error:v}=await this._getUser(o);if(v)throw v;const w={provider_token:n,provider_refresh_token:r,access_token:o,expires_in:h,expires_at:m,refresh_token:s,token_type:d,user:g.user};return window.location.hash="",this._debug("#_getSessionFromURL()","clearing window.location.hash"),this._returnResult({data:{session:w,redirectType:t.type},error:null})}catch(n){if(ne(n))return this._returnResult({data:{session:null,redirectType:null},error:n});throw n}}_isImplicitGrantCallback(t){return typeof this.detectSessionInUrl=="function"?this.detectSessionInUrl(new URL(window.location.href),t):!!(t.access_token||t.error_description)}async _isPKCECallback(t){const a=await Fr(this.storage,`${this.storageKey}-code-verifier`);return!!(t.code&&a)}async signOut(t={scope:"global"}){return await this.initializePromise,await this._acquireLock(this.lockAcquireTimeout,async()=>await this._signOut(t))}async _signOut({scope:t}={scope:"global"}){return await this._useSession(async a=>{var n;const{data:r,error:o}=a;if(o&&!Zh(o))return this._returnResult({error:o});const s=(n=r.session)===null||n===void 0?void 0:n.access_token;if(s){const{error:l}=await this.admin.signOut(s,t);if(l&&!(Zq(l)&&(l.status===404||l.status===401||l.status===403)||Zh(l)))return this._returnResult({error:l})}return t!=="others"&&(await this._removeSession(),await gt(this.storage,`${this.storageKey}-code-verifier`)),this._returnResult({error:null})})}onAuthStateChange(t){const a=sU(),n={id:a,callback:t,unsubscribe:()=>{this._debug("#unsubscribe()","state change callback with id removed",a),this.stateChangeEmitters.delete(a)}};return this._debug("#onAuthStateChange()","registered callback with id",a),this.stateChangeEmitters.set(a,n),(async()=>(await this.initializePromise,await this._acquireLock(this.lockAcquireTimeout,async()=>{this._emitInitialSession(a)})))(),{data:{subscription:n}}}async _emitInitialSession(t){return await this._useSession(async a=>{var n,r;try{const{data:{session:o},error:s}=a;if(s)throw s;await((n=this.stateChangeEmitters.get(t))===null||n===void 0?void 0:n.callback("INITIAL_SESSION",o)),this._debug("INITIAL_SESSION","callback id",t,"session",o)}catch(o){await((r=this.stateChangeEmitters.get(t))===null||r===void 0?void 0:r.callback("INITIAL_SESSION",null)),this._debug("INITIAL_SESSION","callback id",t,"error",o),console.error(o)}})}async resetPasswordForEmail(t,a={}){let n=null,r=null;this.flowType==="pkce"&&([n,r]=await Ho(this.storage,this.storageKey,!0));try{return await ce(this.fetch,"POST",`${this.url}/recover`,{body:{email:t,code_challenge:n,code_challenge_method:r,gotrue_meta_security:{captcha_token:a.captchaToken}},headers:this.headers,redirectTo:a.redirectTo})}catch(o){if(await gt(this.storage,`${this.storageKey}-code-verifier`),ne(o))return this._returnResult({data:null,error:o});throw o}}async getUserIdentities(){var t;try{const{data:a,error:n}=await this.getUser();if(n)throw n;return this._returnResult({data:{identities:(t=a.user.identities)!==null&&t!==void 0?t:[]},error:null})}catch(a){if(ne(a))return this._returnResult({data:null,error:a});throw a}}async linkIdentity(t){return"token"in t?this.linkIdentityIdToken(t):this.linkIdentityOAuth(t)}async linkIdentityOAuth(t){var a;try{const{data:n,error:r}=await this._useSession(async o=>{var s,l,c,d,u;const{data:h,error:m}=o;if(m)throw m;const p=await this._getUrlForProvider(`${this.url}/user/identities/authorize`,t.provider,{redirectTo:(s=t.options)===null||s===void 0?void 0:s.redirectTo,scopes:(l=t.options)===null||l===void 0?void 0:l.scopes,queryParams:(c=t.options)===null||c===void 0?void 0:c.queryParams,skipBrowserRedirect:!0});return await ce(this.fetch,"GET",p,{headers:this.headers,jwt:(u=(d=h.session)===null||d===void 0?void 0:d.access_token)!==null&&u!==void 0?u:void 0})});if(r)throw r;return yt()&&!(!((a=t.options)===null||a===void 0)&&a.skipBrowserRedirect)&&window.location.assign(n==null?void 0:n.url),this._returnResult({data:{provider:t.provider,url:n==null?void 0:n.url},error:null})}catch(n){if(ne(n))return this._returnResult({data:{provider:t.provider,url:null},error:n});throw n}}async linkIdentityIdToken(t){return await this._useSession(async a=>{var n;try{const{error:r,data:{session:o}}=a;if(r)throw r;const{options:s,provider:l,token:c,access_token:d,nonce:u}=t,h=await ce(this.fetch,"POST",`${this.url}/token?grant_type=id_token`,{headers:this.headers,jwt:(n=o==null?void 0:o.access_token)!==null&&n!==void 0?n:void 0,body:{provider:l,id_token:c,access_token:d,nonce:u,link_identity:!0,gotrue_meta_security:{captcha_token:s==null?void 0:s.captchaToken}},xform:Na}),{data:m,error:p}=h;return p?this._returnResult({data:{user:null,session:null},error:p}):!m||!m.session||!m.user?this._returnResult({data:{user:null,session:null},error:new Fo}):(m.session&&(await this._saveSession(m.session),await this._notifyAllSubscribers("USER_UPDATED",m.session)),this._returnResult({data:m,error:p}))}catch(r){if(await gt(this.storage,`${this.storageKey}-code-verifier`),ne(r))return this._returnResult({data:{user:null,session:null},error:r});throw r}})}async unlinkIdentity(t){try{return await this._useSession(async a=>{var n,r;const{data:o,error:s}=a;if(s)throw s;

476return await ce(this.fetch,"DELETE",`${this.url}/user/identities/${t.identity_id}`,{headers:this.headers,jwt:(r=(n=o.session)===null||n===void 0?void 0:n.access_token)!==null&&r!==void 0?r:void 0})})}catch(a){if(ne(a))return this._returnResult({data:null,error:a});throw a}}async _refreshAccessToken(t){const a=`#_refreshAccessToken(${t.substring(0,5)}...)`;this._debug(a,"begin");try{const n=Date.now();return await uU(async r=>(r>0&&await dU(200*Math.pow(2,r-1)),this._debug(a,"refreshing attempt",r),await ce(this.fetch,"POST",`${this.url}/token?grant_type=refresh_token`,{body:{refresh_token:t},headers:this.headers,xform:Na})),(r,o)=>{const s=200*Math.pow(2,r);return o&&Xh(o)&&Date.now()+s-n<Zo})}catch(n){if(this._debug(a,"error",n),ne(n))return this._returnResult({data:{session:null,user:null},error:n});throw n}finally{this._debug(a,"end")}}_isValidSession(t){return typeof t=="object"&&t!==null&&"access_token"in t&&"refresh_token"in t&&"expires_at"in t}async _handleProviderSignIn(t,a){const n=await this._getUrlForProvider(`${this.url}/authorize`,t,{redirectTo:a.redirectTo,scopes:a.scopes,queryParams:a.queryParams});return this._debug("#_handleProviderSignIn()","provider",t,"options",a,"url",n),yt()&&!a.skipBrowserRedirect&&window.location.assign(n),{data:{provider:t,url:n},error:null}}async _recoverAndRefresh(){var t,a;const n="#_recoverAndRefresh()";this._debug(n,"begin");try{const r=await Fr(this.storage,this.storageKey);if(r&&this.userStorage){let s=await Fr(this.userStorage,this.storageKey+"-user");!this.storage.isServer&&Object.is(this.storage,this.userStorage)&&!s&&(s={user:r.user},await Xo(this.userStorage,this.storageKey+"-user",s)),r.user=(t=s==null?void 0:s.user)!==null&&t!==void 0?t:ep()}else if(r&&!r.user&&!r.user){const s=await Fr(this.storage,this.storageKey+"-user");s&&(s!=null&&s.user)?(r.user=s.user,await gt(this.storage,this.storageKey+"-user"),await Xo(this.storage,this.storageKey,r)):r.user=ep()}if(this._debug(n,"session from storage",r),!this._isValidSession(r)){this._debug(n,"session is not valid"),r!==null&&await this._removeSession();return}const o=((a=r.expires_at)!==null&&a!==void 0?a:1/0)*1e3-Date.now()<Qh;if(this._debug(n,`session has${o?"":" not"} expired with margin of ${Qh}s`),o){if(this.autoRefreshToken&&r.refresh_token){const{error:s}=await this._callRefreshToken(r.refresh_token);s&&(console.error(s),Xh(s)||(this._debug(n,"refresh failed with a non-retryable error, removing the session",s),await this._removeSession()))}}else if(r.user&&r.user.__isUserNotAvailableProxy===!0)try{const{data:s,error:l}=await this._getUser(r.access_token);!l&&(s!=null&&s.user)?(r.user=s.user,await this._saveSession(r),await this._notifyAllSubscribers("SIGNED_IN",r)):this._debug(n,"could not get user data, skipping SIGNED_IN notification")}catch(s){console.error("Error getting user data:",s),this._debug(n,"error getting user data, skipping SIGNED_IN notification",s)}else await this._notifyAllSubscribers("SIGNED_IN",r)}catch(r){this._debug(n,"error",r),console.error(r);return}finally{this._debug(n,"end")}}async _callRefreshToken(t){var a,n;if(!t)throw new Kt;if(this.refreshingDeferred)return this.refreshingDeferred.promise;const r=`#_callRefreshToken(${t.substring(0,5)}...)`;this._debug(r,"begin");try{this.refreshingDeferred=new Gu;const{data:o,error:s}=await this._refreshAccessToken(t);if(s)throw s;if(!o.session)throw new Kt;await this._saveSession(o.session),await this._notifyAllSubscribers("TOKEN_REFRESHED",o.session);const l={data:o.session,error:null};return this.refreshingDeferred.resolve(l),l}catch(o){if(this._debug(r,"error",o),ne(o)){const s={data:null,error:o};return Xh(o)||await this._removeSession(),(a=this.refreshingDeferred)===null||a===void 0||a.resolve(s),s}throw(n=this.refreshingDeferred)===null||n===void 0||n.reject(o),o}finally{this.refreshingDeferred=null,this._debug(r,"end")}}async _notifyAllSubscribers(t,a,n=!0){const r=`#_notifyAllSubscribers(${t})`;this._debug(r,"begin",a,`broadcast = ${n}`);try{this.broadcastChannel&&n&&this.broadcastChannel.postMessage({event:t,session:a});const o=[],s=Array.from(this.stateChangeEmitters.values()).map(async l=>{try{await l.callback(t,a)}catch(c){o.push(c)}});if(await Promise.all(s),o.length>0){for(let l=0;l<o.length;l+=1)console.error(o[l]);throw o[0]}}finally{this._debug(r,"end")}}async _saveSession(t){this._debug("#_saveSession()",t),this.suppressGetSessionWarning=!0,await gt(this.storage,`${this.storageKey}-code-verifier`);const a=Object.assign({},t),n=a.user&&a.user.__isUserNotAvailableProxy===!0;if(this.userStorage){!n&&a.user&&await Xo(this.userStorage,this.storageKey+"-user",{user:a.user});const r=Object.assign({},a);delete r.user;const o=aw(r);await Xo(this.storage,this.storageKey,o)}else{const r=aw(a);await Xo(this.storage,this.storageKey,r)}}async _removeSession(){this._debug("#_removeSession()"),this.suppressGetSessionWarning=!1,await gt(this.storage,this.storageKey),await gt(this.storage,this.storageKey+"-code-verifier"),await gt(this.storage,this.storageKey+"-user"),this.userStorage&&await gt(this.userStorage,this.storageKey+"-user"),await this._notifyAllSubscribers("SIGNED_OUT",null)}_removeVisibilityChangedCallback(){this._debug("#_removeVisibilityChangedCallback()");const t=this.visibilityChangedCallback;this.visibilityChangedCallback=null;try{t&&yt()&&(window!=null&&window.removeEventListener)&&window.removeEventListener("visibilitychange",t)}

476catch(a){console.error("removing visibilitychange callback failed",a)}}async _startAutoRefresh(){await this._stopAutoRefresh(),this._debug("#_startAutoRefresh()");const t=setInterval(()=>this._autoRefreshTokenTick(),Zo);this.autoRefreshTicker=t,t&&typeof t=="object"&&typeof t.unref=="function"?t.unref():typeof Deno<"u"&&typeof Deno.unrefTimer=="function"&&Deno.unrefTimer(t);const a=setTimeout(async()=>{await this.initializePromise,await this._autoRefreshTokenTick()},0);this.autoRefreshTickTimeout=a,a&&typeof a=="object"&&typeof a.unref=="function"?a.unref():typeof Deno<"u"&&typeof Deno.unrefTimer=="function"&&Deno.unrefTimer(a)}async _stopAutoRefresh(){this._debug("#_stopAutoRefresh()");const t=this.autoRefreshTicker;this.autoRefreshTicker=null,t&&clearInterval(t);const a=this.autoRefreshTickTimeout;this.autoRefreshTickTimeout=null,a&&clearTimeout(a)}async startAutoRefresh(){this._removeVisibilityChangedCallback(),await this._startAutoRefresh()}async stopAutoRefresh(){this._removeVisibilityChangedCallback(),await this._stopAutoRefresh()}async _autoRefreshTokenTick(){this._debug("#_autoRefreshTokenTick()","begin");try{await this._acquireLock(0,async()=>{try{const t=Date.now();try{return await this._useSession(async a=>{const{data:{session:n}}=a;if(!n||!n.refresh_token||!n.expires_at){this._debug("#_autoRefreshTokenTick()","no session");return}const r=Math.floor((n.expires_at*1e3-t)/Zo);this._debug("#_autoRefreshTokenTick()",`access token expires in ${r} ticks, a tick lasts ${Zo}ms, refresh threshold is ${Hm} ticks`),r<=Hm&&await this._callRefreshToken(n.refresh_token)})}catch(a){console.error("Auto refresh tick failed with error. This is likely a transient error.",a)}}finally{this._debug("#_autoRefreshTokenTick()","end")}})}catch(t){if(t.isAcquireTimeout||t instanceof MS)this._debug("auto refresh token tick lock not available");else throw t}}async _handleVisibilityChange(){if(this._debug("#_handleVisibilityChange()"),!yt()||!(window!=null&&window.addEventListener))return this.autoRefreshToken&&this.startAutoRefresh(),!1;try{this.visibilityChangedCallback=async()=>{try{await this._onVisibilityChanged(!1)}catch(t){this._debug("#visibilityChangedCallback","error",t)}},window==null||window.addEventListener("visibilitychange",this.visibilityChangedCallback),await this._onVisibilityChanged(!0)}catch(t){console.error("_handleVisibilityChange",t)}}async _onVisibilityChanged(t){const a=`#_onVisibilityChanged(${t})`;this._debug(a,"visibilityState",document.visibilityState),document.visibilityState==="visible"?(this.autoRefreshToken&&this._startAutoRefresh(),t||(await this.initializePromise,await this._acquireLock(this.lockAcquireTimeout,async()=>{if(document.visibilityState!=="visible"){this._debug(a,"acquired the lock to recover the session, but the browser visibilityState is no longer visible, aborting");return}await this._recoverAndRefresh()}))):document.visibilityState==="hidden"&&this.autoRefreshToken&&this._stopAutoRefresh()}async _getUrlForProvider(t,a,n){const r=[`provider=${encodeURIComponent(a)}`];if(n!=null&&n.redirectTo&&r.push(`redirect_to=${encodeURIComponent(n.redirectTo)}`),n!=null&&n.scopes&&r.push(`scopes=${encodeURIComponent(n.scopes)}`),this.flowType==="pkce"){const[o,s]=await Ho(this.storage,this.storageKey),l=new URLSearchParams({code_challenge:`${encodeURIComponent(o)}`,code_challenge_method:`${encodeURIComponent(s)}`});r.push(l.toString())}if(n!=null&&n.queryParams){const o=new URLSearchParams(n.queryParams);r.push(o.toString())}return n!=null&&n.skipBrowserRedirect&&r.push(`skip_http_redirect=${n.skipBrowserRedirect}`),`${t}?${r.join("&")}`}async _unenroll(t){try{return await this._useSession(async a=>{var n;const{data:r,error:o}=a;return o?this._returnResult({data:null,error:o}):await ce(this.fetch,"DELETE",`${this.url}/factors/${t.factorId}`,{headers:this.headers,jwt:(n=r==null?void 0:r.session)===null||n===void 0?void 0:n.access_token})})}catch(a){if(ne(a))return this._returnResult({data:null,error:a});throw a}}async _enroll(t){try{return await this._useSession(async a=>{var n,r;const{data:o,error:s}=a;if(s)return this._returnResult({data:null,error:s});const l=Object.assign({friendly_name:t.friendlyName,factor_type:t.factorType},t.factorType==="phone"?{phone:t.phone}:t.factorType==="totp"?{issuer:t.issuer}:{}),{data:c,error:d}=await ce(this.fetch,"POST",`${this.url}/factors`,{body:l,headers:this.headers,jwt:(n=o==null?void 0:o.session)===null||n===void 0?void 0:n.access_token});return d?this._returnResult({data:null,error:d}):(t.factorType==="totp"&&c.type==="totp"&&(!((r=c==null?void 0:c.totp)===null||r===void 0)&&r.qr_code)&&(c.totp.qr_code=`data:image/svg+xml;utf-8,${c.totp.qr_code}`),this._returnResult({data:c,error:null}))})}catch(a){if(ne(a))return this._returnResult({data:null,error:a});throw a}}async _verify(t){return this._acquireLock(this.lockAcquireTimeout,async()=>{try{return await this._useSession(async a=>{var n;const{data:r,error:o}=a;if(o)return this._returnResult({data:null,error:o});const s=Object.assign({challenge_id:t.challengeId},"webauthn"in t?{webauthn:Object.assign(Object.assign({},t.webauthn),{credential_response:t.webauthn.type==="create"?GU(t.webauthn.credential_response):FU(t.webauthn.credential_response)})}:{code:t.code}),{data:l,error:c}=await ce(this.fetch,"POST",`${this.url}/factors/${t.factorId}/verify`,{body:s,headers:this.headers,jwt:(n=r==null?void 0:r.session)===null||n===void 0?void 0:n.access_token});return c?this._returnResult({data:null,error:c}):(await this._saveSession(Object.assign({expires_at:Math.round(Date.now()/1e3)+l.expires_in},l)),await this._notifyAllSubscribers("MFA_CHALLENGE_VERIFIED",l),this._returnResult({data:l,error:c}))})}catch(a){if(ne(a))return this._returnResult({data:null,error:a});throw a}})}async _challenge(t){return this._acquireLock(this.lockAcquireTimeout,async()=>{try{return await this._useSession(async a=>{var n;const{data:r,error:o}=a;if(o)return this._returnResult({data:null,error:o});const s=await ce(this.fetch,"POST",`${this.url}/factors/${t.factorId}/challenge`,{body:t,headers:this.headers,jwt:(n=r==null?void 0:r.session)===null||n===void 0?void 0:n.access_token});if(s.error)return s;const{data:l}=s;if(l.type!=="webauthn")return{data:l,error:null};switch(l.webauthn.type){case"create":return{data:Object.assign(Object.assign({},l),{webauthn:Object.assign(Object.assign({},l.webauthn),{credential_options:Object.assign(Object.assign({},l.webauthn.credential_options),{publicKey:LU(l.webauthn.credential_options.publicKey)})})}),error:null};case"request":return{data:Object.assign(Object.assign({},l),{webauthn:Object.assign(Object.assign({},l.webauthn),{credential_options:Object.assign(Object.assign({},l.webauthn.credential_options),{publicKey:OU(l.webauthn.credential_options.publicKey)})})}),error:null}}})}catch(a){if(ne(a))return this._returnResult({data:null,error:a});throw a}})}async _challengeAndVerify(t){const{data:a,error:n}=await this._challenge({factorId:t.factorId});return n?this._returnResult({data:null,error:n}):await this._verify({factorId:t.factorId,challengeId:a.id,code:t.code})}async _listFactors(){var t;const{data:{user:a},error:n}=await this.getUser();if(n)return{data:null,error:n};const r={all:[],phone:[],totp:[],webauthn:[]};for(const o of(t=a==null?void 0:a.factors)!==null&&t!==void 0?t:[])r.all.push(o),o.status==="verified"&&r[o.factor_type].push(o);return{data:r,error:null}}async _getAuthenticatorAssuranceLevel(t){var a,n,r,o;

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r!="object")return;let s,l="";for(let c=o;c<n.length;++c)if(c!==o&&(l+=a),l+=n[c],s=r[l],s!==void 0){if(["string","number","boolean"].indexOf(typeof s)>-1&&c<n.length-1)continue;o+=c-o+1;break}r=s}return r},zl=e=>e==null?void 0:e.replace("_","-"),z3={type:"logger",log(e){this.output("log",e)},warn(e){this.output("warn",e)},error(e){this.output("error",e)},output(e,t){var a,n;(n=(a=console==null?void 0:console[e])==null?void 0:a.apply)==null||n.call(a,console,t)}};class $d{constructor(t,a={}){this.init(t,a)}init(t,a={}){this.prefix=a.prefix||"i18next:",this.logger=t||z3,this.options=a,this.debug=a.debug}log(...t){return this.forward(t,"log","",!0)}warn(...t){return this.forward(t,"warn","",!0)}error(...t){return this.forward(t,"error","")}deprecate(...t){return this.forward(t,"warn","WARNING DEPRECATED: ",!0)}forward(t,a,n,r){return r&&!this.debug?null:(ue(t[0])&&(t[0]=`${n}${this.prefix} ${t[0]}`),this.logger[a](t))}create(t){return new $d(this.logger,{prefix:`${this.prefix}:${t}:`,...this.options})}clone(t){return t=t||this.options,t.prefix=t.prefix||this.prefix,new $d(this.logger,t)}}var on=new $d;class Fu{constructor(){this.observers={}}on(t,a){return t.split(" ").forEach(n=>{this.observers[n]||(this.observers[n]=new Map);const r=this.observers[n].get(a)||0;this.observers[n].set(a,r+1)}),this}off(t,a){if(this.observers[t]){if(!a){delete this.observers[t];return}this.observers[t].delete(a)}}emit(t,...a){this.observers[t]&&Array.from(this.observers[t].entries()).forEach(([r,o])=>{for(let s=0;s<o;s++)r(...a)}),this.observers["*"]&&Array.from(this.observers["*"].entries()).forEach(([r,o])=>{for(let s=0;s<o;s++)r.apply(r,[t,...a])})}}class mw extends Fu{constructor(t,a={ns:["translation"],defaultNS:"translation"}){super(),this.data=t||{},this.options=a,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.options.ignoreJSONStructure===void 0&&(this.options.ignoreJSONStructure=!0)}addNamespaces(t){this.options.ns.indexOf(t)<0&&this.options.ns.push(t)}removeNamespaces(t){const a=this.options.ns.indexOf(t);a>-1&&this.options.ns.splice(a,1)}getResource(t,a,n,r={}){var d,u;const o=r.keySeparator!==void 0?r.keySeparator:this.options.keySeparator,s=r.ignoreJSONStructure!==void 0?r.ignoreJSONStructure:this.options.ignoreJSONStructure;let l;t.indexOf(".")>-1?l=t.split("."):(l=[t,a],n&&(Array.isArray(n)?l.push(...n):ue(n)&&o?l.push(...n.split(o)):l.push(n)));const c=Wd(this.data,l);return!c&&!a&&!n&&t.indexOf(".")>-1&&(t=l[0],a=l[1],n=l.slice(2).join(".")),c||!s||!ue(n)?c:$m((u=(d=this.data)==null?void 0:d[t])==null?void 0:u[a],n,o)}addResource(t,a,n,r,o={silent:!1}){const s=o.keySeparator!==void 0?o.keySeparator:this.options.keySeparator;let l=[t,a];n&&(l=l.concat(s?n.split(s):n)),t.indexOf(".")>-1&&(l=t.split("."),r=a,a=l[1]),this.addNamespaces(a),pw(this.data,l,r),o.silent||this.emit("added",t,a,n,r)}addResources(t,a,n,r={silent:!1}){for(const o in n)(ue(n[o])||Array.isArray(n[o]))&&this.addResource(t,a,o,n[o],{silent:!0});r.silent||this.emit("added",t,a,n)}addResourceBundle(t,a,n,r,o,s={silent:!1,skipCopy:!1}){let l=[t,a];t.indexOf(".")>-1&&(l=t.split("."),r=n,n=a,a=l[1]),this.addNamespaces(a);let c=Wd(this.data,l)||{};s.skipCopy||(n=JSON.parse(JSON.stringify(n))),r?FS(c,n,o):c={...c,...n},pw(this.data,l,c),s.silent||this.emit("added",t,a,n)}removeResourceBundle(t,a){this.hasResourceBundle(t,a)&&delete this.data[t][a],this.removeNamespaces(a),this.emit("removed",t,a)}hasResourceBundle(t,a){return this.getResource(t,a)!==void 0}getResourceBundle(t,a){return a||(a=this.options.defaultNS),this.getResource(t,a)}getDataByLanguage(t){return this.data[t]}hasLanguageSomeTranslations(t){const a=this.getDataByLanguage(t);return!!(a&&Object.keys(a)||[]).find(r=>a[r]&&Object.keys(a[r]).length>0)}toJSON(){return this.data}}var HS={processors:{},addPostProcessor(e){this.processors[e.name]=e},handle(e,t,a,n,r){return e.forEach(o=>{var s;

476t=((s=this.processors[o])==null?void 0:s.process(t,a,n,r))??t}),t}};const BS=Symbol("i18next/PATH_KEY");function R3(){const e=[],t=Object.create(null);let a;return t.get=(n,r)=>{var o;return(o=a==null?void 0:a.revoke)==null||o.call(a),r===BS?e:(e.push(r),a=Proxy.revocable(n,t),a.proxy)},Proxy.revocable(Object.create(null),t).proxy}function Km(e,t){const{[BS]:a}=e(R3());return a.join((t==null?void 0:t.keySeparator)??".")}const fw={},ap=e=>!ue(e)&&typeof e!="boolean"&&typeof e!="number";class Kd extends Fu{constructor(t,a={}){super(),k3(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=a,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=on.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t,a={interpolation:{}}){const n={...a};if(t==null)return!1;const r=this.resolve(t,n);if((r==null?void 0:r.res)===void 0)return!1;const o=ap(r.res);return!(n.returnObjects===!1&&o)}extractFromKey(t,a){let n=a.nsSeparator!==void 0?a.nsSeparator:this.options.nsSeparator;n===void 0&&(n=":");const r=a.keySeparator!==void 0?a.keySeparator:this.options.keySeparator;let o=a.ns||this.options.defaultNS||[];const s=n&&t.indexOf(n)>-1,l=!this.options.userDefinedKeySeparator&&!a.keySeparator&&!this.options.userDefinedNsSeparator&&!a.nsSeparator&&!E3(t,n,r);if(s&&!l){const c=t.match(this.interpolator.nestingRegexp);if(c&&c.length>0)return{key:t,namespaces:ue(o)?[o]:o};const d=t.split(n);(n!==r||n===r&&this.options.ns.indexOf(d[0])>-1)&&(o=d.shift()),t=d.join(r)}return{key:t,namespaces:ue(o)?[o]:o}}translate(t,a,n){let r=typeof a=="object"?{...a}:a;if(typeof r!="object"&&this.options.overloadTranslationOptionHandler&&(r=this.options.overloadTranslationOptionHandler(arguments)),typeof r=="object"&&(r={...r}),r||(r={}),t==null)return"";typeof t=="function"&&(t=Km(t,{...this.options,...r})),Array.isArray(t)||(t=[String(t)]);const o=r.returnDetails!==void 0?r.returnDetails:this.options.returnDetails,s=r.keySeparator!==void 0?r.keySeparator:this.options.keySeparator,{key:l,namespaces:c}=this.extractFromKey(t[t.length-1],r),d=c[c.length-1];let u=r.nsSeparator!==void 0?r.nsSeparator:this.options.nsSeparator;u===void 0&&(u=":");const h=r.lng||this.language,m=r.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if((h==null?void 0:h.toLowerCase())==="cimode")return m?o?{res:`${d}${u}${l}`,usedKey:l,exactUsedKey:l,usedLng:h,usedNS:d,usedParams:this.getUsedParamsDetails(r)}:`${d}${u}${l}`:o?{res:l,usedKey:l,exactUsedKey:l,usedLng:h,usedNS:d,usedParams:this.getUsedParamsDetails(r)}:l;const p=this.resolve(t,r);let b=p==null?void 0:p.res;const g=(p==null?void 0:p.usedKey)||l,v=(p==null?void 0:p.exactUsedKey)||l,w=["[object Number]","[object Function]","[object RegExp]"],y=r.joinArrays!==void 0?r.joinArrays:this.options.joinArrays,x=!this.i18nFormat||this.i18nFormat.handleAsObject,k=r.count!==void 0&&!ue(r.count),C=Kd.hasDefaultValue(r),S=k?this.pluralResolver.getSuffix(h,r.count,r):"",A=r.ordinal&&k?this.pluralResolver.getSuffix(h,r.count,{ordinal:!1}):"",P=k&&!r.ordinal&&r.count===0,I=P&&r[`defaultValue${this.options.pluralSeparator}zero`]||r[`defaultValue${S}`]||r[`defaultValue${A}`]||r.defaultValue;let N=b;x&&!b&&C&&(N=I);const V=ap(N),z=Object.prototype.toString.apply(N);if(x&&N&&V&&w.indexOf(z)<0&&!(ue(y)&&Array.isArray(N))){if(!r.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const L=this.options.returnedObjectHandler?this.options.returnedObjectHandler(g,N,{...r,ns:c}):`key '${l} (${this.language})' returned an object instead of string.`;return o?(p.res=L,p.usedParams=this.getUsedParamsDetails(r),p):L}if(s){const L=Array.isArray(N),E=L?[]:{},K=L?v:g;for(const F in N)if(Object.prototype.hasOwnProperty.call(N,F)){const Z=`${K}${s}${F}`;C&&!b?E[F]=this.translate(Z,{...r,defaultValue:ap(I)?I[F]:void 0,joinArrays:!1,ns:c}):E[F]=this.translate(Z,{...r,joinArrays:!1,ns:c}),E[F]===Z&&(E[F]=N[F])}b=E}}else if(x&&ue(y)&&Array.isArray(b))b=b.join(y),b&&(b=this.extendTranslation(b,t,r,n));else{let L=!1,E=!1;!this.isValidLookup(b)&&C&&(L=!0,b=I),this.isValidLookup(b)||(E=!0,b=l);const F=(r.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&E?void 0:b,Z=C&&I!==b&&this.options.updateMissing;if(E||L||Z){if(this.logger.log(Z?"updateKey":"missingKey",h,d,l,Z?I:b),s){const $=this.resolve(l,{...r,keySeparator:!1});$&&$.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let j=[];const T=this.languageUtils.getFallbackCodes(this.options.fallbackLng,r.lng||this.language);if(this.options.saveMissingTo==="fallback"&&T&&T[0])for(let $=0;$<T.length;$++)j.push(T[$]);else this.options.saveMissingTo==="all"?j=this.languageUtils.toResolveHierarchy(r.lng||this.language):j.push(r.lng||this.language);const O=($,W,se)=>{var Re;const le=C&&se!==b?se:F;this.options.missingKeyHandler?this.options.missingKeyHandler($,d,W,le,Z,r):(Re=this.backendConnector)!=null&&Re.saveMissing&&this.backendConnector.saveMissing($,d,W,le,Z,r),this.emit

476("missingKey",$,d,W,b)};this.options.saveMissing&&(this.options.saveMissingPlurals&&k?j.forEach($=>{const W=this.pluralResolver.getSuffixes($,r);P&&r[`defaultValue${this.options.pluralSeparator}zero`]&&W.indexOf(`${this.options.pluralSeparator}zero`)<0&&W.push(`${this.options.pluralSeparator}zero`),W.forEach(se=>{O([$],l+se,r[`defaultValue${se}`]||I)})}):O(j,l,I))}b=this.extendTranslation(b,t,r,p,n),E&&b===l&&this.options.appendNamespaceToMissingKey&&(b=`${d}${u}${l}`),(E||L)&&this.options.parseMissingKeyHandler&&(b=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${d}${u}${l}`:l,L?b:void 0,r))}return o?(p.res=b,p.usedParams=this.getUsedParamsDetails(r),p):b}extendTranslation(t,a,n,r,o){var c,d;if((c=this.i18nFormat)!=null&&c.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...n},n.lng||this.language||r.usedLng,r.usedNS,r.usedKey,{resolved:r});else if(!n.skipInterpolation){n.interpolation&&this.interpolator.init({...n,interpolation:{...this.options.interpolation,...n.interpolation}});const u=ue(t)&&(((d=n==null?void 0:n.interpolation)==null?void 0:d.skipOnVariables)!==void 0?n.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let h;if(u){const p=t.match(this.interpolator.nestingRegexp);h=p&&p.length}let m=n.replace&&!ue(n.replace)?n.replace:n;if(this.options.interpolation.defaultVariables&&(m={...this.options.interpolation.defaultVariables,...m}),t=this.interpolator.interpolate(t,m,n.lng||this.language||r.usedLng,n),u){const p=t.match(this.interpolator.nestingRegexp),b=p&&p.length;h<b&&(n.nest=!1)}!n.lng&&r&&r.res&&(n.lng=this.language||r.usedLng),n.nest!==!1&&(t=this.interpolator.nest(t,(...p)=>(o==null?void 0:o[0])===p[0]&&!n.context?(this.logger.warn(`It seems you are nesting recursively key: ${p[0]} in key: ${a[0]}`),null):this.translate(...p,a),n)),n.interpolation&&this.interpolator.reset()}const s=n.postProcess||this.options.postProcess,l=ue(s)?[s]:s;return t!=null&&(l!=null&&l.length)&&n.applyPostProcessor!==!1&&(t=HS.handle(l,t,a,this.options&&this.options.postProcessPassResolved?{i18nResolved:{...r,usedParams:this.getUsedParamsDetails(n)},...n}:n,this)),t}resolve(t,a={}){let n,r,o,s,l;return ue(t)&&(t=[t]),t.forEach(c=>{if(this.isValidLookup(n))return;const d=this.extractFromKey(c,a),u=d.key;r=u;let h=d.namespaces;this.options.fallbackNS&&(h=h.concat(this.options.fallbackNS));const m=a.count!==void 0&&!ue(a.count),p=m&&!a.ordinal&&a.count===0,b=a.context!==void 0&&(ue(a.context)||typeof a.context=="number")&&a.context!=="",g=a.lngs?a.lngs:this.languageUtils.toResolveHierarchy(a.lng||this.language,a.fallbackLng);h.forEach(v=>{var w,y;this.isValidLookup(n)||(l=v,!fw[`${g[0]}-${v}`]&&((w=this.utils)!=null&&w.hasLoadedNamespace)&&!((y=this.utils)!=null&&y.hasLoadedNamespace(l))&&(fw[`${g[0]}-${v}`]=!0,this.logger.warn(`key "${r}" for languages "${g.join(", ")}" won't get resolved as namespace "${l}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),g.forEach(x=>{var S;if(this.isValidLookup(n))return;s=x;const k=[u];if((S=this.i18nFormat)!=null&&S.addLookupKeys)this.i18nFormat.addLookupKeys(k,u,x,v,a);else{let A;m&&(A=this.pluralResolver.getSuffix(x,a.count,a));const P=`${this.options.pluralSeparator}zero`,I=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(m&&(a.ordinal&&A.indexOf(I)===0&&k.push(u+A.replace(I,this.options.pluralSeparator)),k.push(u+A),p&&k.push(u+P)),b){const N=`${u}${this.options.contextSeparator||"_"}${a.context}`;k.push(N),m&&(a.ordinal&&A.indexOf(I)===0&&k.push(N+A.replace(I,this.options.pluralSeparator)),k.push(N+A),p&&k.push(N+P))}}let C;for(;C=k.pop();)this.isValidLookup(n)||(o=C,n=this.getResource(x,v,C,a))}))})}),{res:n,usedKey:r,exactUsedKey:o,usedLng:s,usedNS:l}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,a,n,r={}){var o;return(o=this.i18nFormat)!=null&&o.getResource?this.i18nFormat.getResource(t,a,n,r):this.resourceStore.getResource(t,a,n,r)}getUsedParamsDetails(t={}){const a=["defaultValue","ordinal","context","replace","lng","lngs","fallbackLng","ns","keySeparator","nsSeparator","returnObjects","returnDetails","joinArrays","postProcess","interpolation"],n=t.replace&&!ue(t.replace);let r=n?t.replace:t;if(n&&typeof t.count<"u"&&(r.count=t.count),this.options.interpolation.defaultVariables&&(r={...this.options.interpolation.defaultVariables,...r}),!n){r={...r};for(const o of a)delete r[o]}return r}static hasDefaultValue(t){const a="defaultValue";for(const n in t)if(Object.prototype.hasOwnProperty.call(t,n)&&a===n.substring(0,a.length)&&t[n]!==void 0)return!0;return!1}}class gw{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=on.create("languageUtils")}getScriptPartFromCode(t){if(t=zl(t),!t||t.indexOf("-")<0)return null;const a=t.split("-");return a.length===2||(a.pop(),a[a.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(a.join("-"))}getLanguagePartFromCode(t){if(t=zl(t),!t||t.indexOf("-")<0)return t;const a=t.split("-");return this.formatLanguageCode(a[0])}formatLanguageCode(t){if(ue(t)&&t.indexOf("-")>-1){let a;try{a=Intl.getCanonicalLocales(t)[0]}catch{}return a&&this.options.lowerCaseLng&&(a=a.toLowerCase()),a||(this.options.lowerCaseLng?t.toLowerCase():t)}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let a;return t.forEach(n=>{if(a)return;const r=this.formatLanguageCode(n);(!this.options.supportedLngs||this.isSupportedCode(r))&&(a=r)}),!a&&this.options.supportedLngs&&t.forEach(n=>{if(a)return;const r=this.getScriptPartFromCode(n);if(this.isSupportedCode(r))return a=r;const o=this.getLanguagePartFromCode(n);if(this.isSupportedCode(o))return a=o;a=this.options.supportedLngs.find(s=>{if(s===o)return s;if(!(s.indexOf("-")<0&&o.indexOf("-")<0)&&(s.indexOf("-")>0&&o.indexOf("-")<0&&s.substring(0,s.indexOf("-"))===o||s.indexOf(o)===0&&o.length>1))return s})}),a||(a=this.getFallbackCodes(this.options.fallbackLng)[0]),a}getFallbackCodes(t,a){if(!t)return[];if(typeof t=="function"&&(t=t(a)),ue(t)&&(t=[t]),Array.isArray(t))return t;if(!a)return t.default||[];let n=t[a];return n||(n=t[this.getScriptPartFromCode(a)]),n||(n=t[this.formatLanguageCode(a)]),n||(n=t[this.getLanguagePartFromCode(a)]),n||(n=t.default),n||[]}toResolveHierarchy(t,a){const n=this.getFallbackCodes((a===!1?[]:a)||this.options.fallbackLng||[],t),r=[],o=s=>{s&&(this.isSupportedCode(s)?r.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return ue(t)&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):ue(t)&&o(this.formatLanguageCode(t)),n.forEach(s=>{r.indexOf(s)<0&&o(this.formatLanguageCode(s))}),r}}const yw={zero:0,one:1,two:2,few:3,many:4,other:5},vw={select:e=>e===1?"one":"other",resolvedOptions:()=>({pluralCategories:["one","other"]})};class D3{constructor(t,a={}){this.languageUtils=t,this.options=a,this.logger=on.create("pluralResolver"),this.pluralRulesCache={}}clearCache(){this.pluralRulesCache={}}getRule(t,a={}){const n=zl(t==="dev"?"en":t),r=a.ordinal?"ordinal":"cardinal",o=JSON.stringify({cleanedCode:n,type:r});if(o in this.pluralRulesCache)return this.pluralRulesCache[o];let s;try{s=new Intl.PluralRules(n,{type:r})}catch{if(!Intl)return this.logger.error("No Intl support, please use an Intl polyfill!"),vw;if(!t.match(/-|_/))return vw;const c=this.languageUtils.getLanguagePartFromCode(t);s=this.getRule(c,a)}return this.pluralRulesCache[o]=s,s}needsPlural(t,a={}){let n=this.getRule(t,a);return n||(n=this.getRule("dev",a)),(n==null?void 0:n.resolvedOptions().pluralCategories.length)>1}getPluralFormsOfKey(t,a,n={}){return this.getSuffixes(t,n).map(r=>`${a}${r}`)}getSuffixes(t,a={}){let n=this.getRule(t,a);return n||(n=this.getRule("dev",a)),n?n.resolvedOptions().pluralCategories.sort((r,o)=>yw[r]-yw[o]).map(r=>`${this.options.prepend}${a.ordinal?`ordinal${this.options.prepend}`:""}${r}`):[]}getSuffix(t,a,n={}){const r=this.getRule(t,n);return r?`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${r.select(a)}`:(this.logger.warn(`no plural rule found for: ${t}`),this.getSuffix("dev",a,n))}}const bw=(e,t,a,n=".",r=!0)=>{let o=A3(e,t,a);return!o&&r&&ue(a)&&(o=$m(e,a,n),o===void 0&&(o=$m(t,a,n))),o},np=e=>e.replace(/\$/g,"$$$$");class ww{constructor(t={}){var a;this.logger=on.create("interpolator"),this.options=t,this.format=((a=t==null?void 0:t.interpolation)==null?void 0:a.format)||(n=>n),this.init(t)}init(t={}){t.interpolation||(t.interpolation={escapeValue:!0});const{escape:a,escapeValue:n,useRawValueToEscape:r,prefix:o,prefixEscaped:s,suffix:l,suffixEscaped:c,formatSeparator:d,unescapeSuffix:u,unescapePrefix:h,nestingPrefix:m,nestingPrefixEscaped:p,nestingSuffix:b,nestingSuffixEscaped:g,nestingOptionsSeparator:v,maxReplaces:w,alwaysFormat:y}=t.interpolation;this.escape=a!==void 0?a:T3,this.escapeValue=n!==void 0?n:!0,this.useRawValueToEscape=r!==void 0?r:!1,this.prefix=o?$o(o):s||"{{",this.suffix=l?$o(l):c||"}}",this.formatSeparator=d||",",this.unescapePrefix=u?"":h||"-",this.unescapeSuffix=this.unescapePrefix?"":u||"",this.nestingPrefix=m?$o(m):p||$o("$t("),this.nestingSuffix=b?$o(b):g||$o(")"),this.nestingOptionsSeparator=v||",",this.maxReplaces=w||1e3,this.alwaysFormat=y!==void 0?y:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=(a,n)=>(a==null?void 0:a.source)===n?(a.lastIndex=0,a):new RegExp(n,"g");this.regexp=t(this.regexp,`${this.prefix}(.+?)${this.suffix}`),this.regexpUnescape=t(this.regexpUnescape,`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`),this.nestingRegexp=t(this.nestingRegexp,`${this.nestingPrefix}((?:[^()"']+|"[^"]*"|'[^']*'|\\((?:[^()]|"[^"]*"|'[^']*')*\\))*?)${this.nestingSuffix}`)}interpolate(t,a,n,r){var p;let o,s,l;const c=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{},d=b=>{if(b.indexOf(this.formatSeparator)<0){const y=bw(a,c,b,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(y,void 0,n,{...r,...a,interpolationkey:b}):y}const g=b.split(this.formatSeparator),v=g.shift().trim(),w=g.join(this.formatSeparator).trim();return this.format(bw(a,c,v,this.options.keySeparator,this.options.ignoreJSONStructure),w,n,{...r,...a,interpolationkey:v})};this.resetRegExp();const u=(r==null?void 0:r.missingInterpolationHandler)||this.options.missingInterpolationHandler,h=((p=r==null?void 0:r.interpolation)==null?void 0:p.skipOnVariables)!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:b=>np(b)},{regex:this.regexp,safeValue:b=>this.escapeValue?np(this.escape(b)):np(b)}].forEach(b=>{for(l=0;o=b.regex.exec(t);){const g=o[1].trim();if(s=d(g),s===void 0)if(typeof u=="function"){const w=u(t,o,r);s=ue(w)?w:""}else if(r&&Object.prototype.hasOwnProperty.call(r,g))s="";else if(h){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${g} for interpolating ${t}`),s="";else!ue(s)&&!this.useRawValueToEscape&&(s=dw(s));const v=b.safeValue(s);if(t=t.replace(o[0],v),h?(b.regex.lastIndex+=s.length,b.regex.lastIndex-=o[0].length):b.regex.lastIndex=0,l++,l>=this.maxReplaces)break}}),t}nest(t,a,n={}){let r,o,s;const l=(c,d)=>{const u=this.nestingOptionsSeparator;if(c.indexOf(u)<0)return c;const h=c.split(new RegExp(`${u}[ ]*{`));let m=`{${h[1]}`;c=h[0],m=this.interpolate(m,s);const p=m.match(/'/g),b=m.match(/"/g);(((p==null?void 0:p.length)??0)%2===0&&!b||b.length%2!==0)&&(m=m.replace(/'/g,'"'));try{s=JSON.parse(m),d&&(s={...d,...s})}catch(g){return this.logger.warn(`failed parsing options string in nesting for key ${c}`,g),`${c}${u}${m}`}return s.defaultValue&&s.defaultValue.indexOf(this.prefix)>-1&&delete s.defaultValue,c};for(;r=this.nestingRegexp.exec(t);){let c=[];s={...n},s=s.replace&&!ue(s.replace)?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;const d=/{.*}/.test(r[1])?r[1].lastIndexOf("}")+1:r[1].indexOf(this.formatSeparator);if(d!==-1&&(c=r[1].slice(d).split(this.formatSeparator).map(u=>u.trim()).filter(Boolean),r[1]=r[1].slice(0,d)),o=a(l.call(this,r[1].trim(),s),s),o&&r[0]===t&&!ue(o))return o;ue(o)||(o=dw(o)),o||(this.logger.warn(`missed to resolve ${r[1]} for nesting ${t}`),o=""),c.length&&(o=c.reduce((u,h)=>this.format(u,h,n.lng,{...n,interpolationkey:r[1].trim()}),o.trim())),t=t.replace(r[0],o),this.regexp.lastIndex=0}return t}}const _3=e=>{let t=e.toLowerCase().trim();const a={};if(e.indexOf("(")>-1){const n=e.split("(");t=n[0].toLowerCase().trim();const r=n[1].substring(0,n[1].length-1);t==="currency"&&r.indexOf(":")<0?a.currency||(a.currency=r.trim()):t==="relativetime"&&r.indexOf(":")<0?a.range||(a.range=r.trim()):r.split(";").forEach(s=>{if(s){const[l,...c]=s.split(":"),d=c.join(":").trim().replace(/^'+|'+$/g,""),u=l.trim();a[u]||(a[u]=d),d==="false"&&(a[u]=!1),d==="true"&&(a[u]=!0),isNaN(d)||(a[u]=parseInt(d,10))}})}return{formatName:t,formatOptions:a}},xw=e=>{const t={};return(a,n,r)=>{let o=r;r&&r.interpolationkey&&r.formatParams&&r.formatParams[r.interpolationkey]&&r[r.interpolationkey]&&(o={...o,[r.interpolationkey]:void 0});const s=n+JSON.stringify(o);let l=t[s];return l||(l=e(zl(n),r),t[s]=l),l(a)}},q3=e=>(t,a,n)=>e(zl(a),n)(t);class U3{constructor(t={}){this.logger=on.create("formatter"),this.options=t,this.init(t)}init(t,a={interpolation:{}}){this.formatSeparator=a.interpolation.formatSeparator||",";const n=a.cacheInBuiltFormats?xw:q3;this.formats={number:n((r,o)=>{const s=new Intl.NumberFormat(r,{...o});return l=>s.format(l)}),currency:n((r,o)=>{const s=new Intl.NumberFormat(r,{...o,style:"currency"});return l=>s.format(l)}),datetime:n((r,o)=>{const s=new Intl.DateTimeFormat(r,{...o});return l=>s.format(l)}),relativetime:n((r,o)=>{const s=new Intl.RelativeTimeFormat(r,{...o});return l=>s.format(l,o.range||"day")}),list:n((r,o)=>{const s=new Intl.ListFormat(r,{...o});return l=>s.format(l)})}}add(t,a){this.formats[t.toLowerCase().trim()]=a}addCached(t,a){this.formats[t.toLowerCase().trim()]=xw(a)}format(t,a,n,r={}){const o=a.split(this.formatSeparator);if(o.length>1&&o[0].indexOf("(")>1&&o[0].indexOf(")")<0&&o.find(l=>l.indexOf(")")>-1)){const l=o.findIndex(c=>c.indexOf(")")>-1);o[0]=[o[0],...o.splice(1,l)].join(this.formatSeparator)}return o.reduce((l,c)=>{var h;const{formatName:d,formatOptions:u}=_3(c);if(this.formats[d]){let m=l;try{const p=((h=r==null?void 0:r.formatParams)==null?void 0:h[r.interpolationkey])||{},b=p.locale||p.lng||r.locale||r.lng||n;m=this.formats[d](l,b,{...u,...r,...p})}catch(p){this.logger.warn(p)}return m}else this.logger.warn(`there was no format function for ${d}`);return l},t)}}const M3=(e,t)=>{e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)};class L3 extends Fu{constructor(t,a,n,r={}){var o,s;super(),this.backend=t,this.store=a,this.services=n,this.languageUtils=n.languageUtils,this.options=r,this.logger=on.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=r.maxParallelReads||10,this.readingCalls=0,this.maxRetries=r.maxRetries>=0?r.maxRetries:5,this.retryTimeout=r.retryTimeout>=1?r.retryTimeout:350,this.state={},this.queue=[],(s=(o=this.backend)==null?void 0:o.init)==null||s.call(o,n,r.backend,r)}queueLoad(t,a,n,r){const o={},s={},l={},c={};return t.forEach(d=>{let u=!0;a.forEach(h=>{const m=`${d}|${h}`;!n.reload&&this.store.hasResourceBundle(d,h)?this.state[m]=2:this.state[m]<0||(this.state[m]===1?s[m]===void 0&&(s[m]=!0):(this.state[m]=1,u=!1,s[m]===void 0&&(s[m]=!0),o[m]===void 0&&(o[m]=!0),c[h]===void 0&&(c[h]=!0)))}),u||(l[d]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:r}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(l),toLoadNamespaces:Object.keys(c)}}loaded(t,a,n){const r=t.split("|"),o=r[0],s=r[1];a&&this.emit("failedLoading",o,s,a),!a&&n&&this.store.addResourceBundle(o,s,n,void 0,void 0,{skipCopy:!0}),this.state[t]=a?-1:2,a&&n&&(this.state[t]=0);const l={};this.queue.forEach(c=>{S3(c.loaded,[o],s),M3(c,t),a&&c.errors.push(a),c.pendingCount===0&&!c.done&&(Object.keys(c.loaded).forEach(d=>{l[d]||(l[d]={});const u=c.loaded[d];u.length&&u.forEach(h=>{l[d][h]===void 0&&(l[d][h]=!0)})}),c.done=!0,c.errors.length?c.callback(c.errors):c.callback())}),this.emit("loaded",l),this.queue=this.queue.filter(c=>!c.done)}read(t,a,n,r=0,o=this.retryTimeout,s){if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:a,fcName:n,tried:r,wait:o,callback:s});return}this.readingCalls++;const l=(d,u)=>{if(this.readingCalls--,this.waitingReads.length>0){const h=this.waitingReads.shift();this.read(h.lng,h.ns,h.fcName,h.tried,h.wait,h.callback)}if(d&&u&&r<this.maxRetries){setTimeout(()=>{this.read.call(this,t,a,n,r+1,o*2,s)},o);return}s(d,u)},c=this.backend[n].bind(this.backend);if(c.length===2){try{const d=c(t,a);d&&typeof d.then=="function"?d.then(u=>l(null,u)).catch(l):l(null,d)}catch(d){l(d)}return}return c(t,a,l)}prepareLoading(t,a,n={},r){if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),r&&r();ue(t)&&(t=this.languageUtils.toResolveHierarchy(t)),ue(a)&&(a=[a]);const o=this.queueLoad(t,a,n,r);if(!o.toLoad.length)return o.pending.length||r(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,a,n){this.prepareLoading(t,a,{},n)}reload(t,a,n){this.prepareLoading(t,a,{reload:!0},n)}loadOne(t,a=""){const n=t.split("|"),r=n[0],o=n[1];this.read(r,o,"read",void 0,void 0,(s,l)=>{s&&this.logger.warn(`${a}loading namespace ${o} for language ${r} failed`,s),!s&&l&&this.logger.log(`${a}loaded namespace ${o} for language ${r}`,l),this.loaded(t,s,l)})}saveMissing(t,a,n,r,o,s={},l=()=>{}){var c,d,u,h,m;if((d=(c=this.services)==null?void 0:c.utils)!=null&&d.hasLoadedNamespace&&!((h=(u=this.services)==null?void 0:u.utils)!=null&&h.hasLoadedNamespace(a))){this.logger.warn(`did not save key "${n}" as the namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(n==null||n==="")){if((m=this.backend)!=null&&m.create){const p={...s,isUpdate:o},b=this.backend.create.bind(this.backend);if(b.length<6)try{let g;b.length===5?g=b(t,a,n,r,p):g=b(t,a,n,r),g&&typeof g.then=="function"?g.then(v=>l(null,v)).catch(l):l(null,g)}catch(g){l(g)}else b(t,a,n,r,l,p)}!t||!t[0]||this.store.addResource(t[0],a,n,r)}}}const rp=()=>({debug:!1,initAsync:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:e=>{let t={};if(typeof e[1]=="object"&&(t=e[1]),ue(e[1])&&(t.defaultValue=e[1]),ue(e[2])&&(t.tDescription=e[2]),typeof e[2]=="object"||typeof e[3]=="object"){const a=e[3]||e[2];Object.keys(a).forEach(n=>{t[n]=a[n]})}return t},interpolation:{escapeValue:!0,format:e=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0},cacheInBuiltFormats:!0}),kw=e=>{var t,a;return ue(e.ns)&&(e.ns=[e.ns]),ue(e.fallbackLng)&&(e.fallbackLng=[e.fallbackLng]),ue(e.fallbackNS)&&(e.fallbackNS=[e.fallbackNS]),((a=(t=e.supportedLngs)==null?void 0:t.indexOf)==null?void 0:a.call(t,"cimode"))<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),typeof e.initImmediate=="boolean"&&(e.initAsync=e.initImmediate),e},Dc=()=>{},O3=e=>

476{Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(a=>{typeof e[a]=="function"&&(e[a]=e[a].bind(e))})},G3=e=>{var t,a,n,r,o,s,l,c,d;return!!(((n=(a=(t=e==null?void 0:e.modules)==null?void 0:t.backend)==null?void 0:a.name)==null?void 0:n.indexOf("Locize"))>0||((l=(s=(o=(r=e==null?void 0:e.modules)==null?void 0:r.backend)==null?void 0:o.constructor)==null?void 0:s.name)==null?void 0:l.indexOf("Locize"))>0||(d=(c=e==null?void 0:e.options)==null?void 0:c.backend)!=null&&d.backends&&e.options.backend.backends.some(u=>{var h,m,p;return((h=u==null?void 0:u.name)==null?void 0:h.indexOf("Locize"))>0||((p=(m=u==null?void 0:u.constructor)==null?void 0:m.name)==null?void 0:p.indexOf("Locize"))>0}))};class Qs extends Fu{constructor(t={},a){if(super(),this.options=kw(t),this.services={},this.logger=on,this.modules={external:[]},O3(this),a&&!this.isInitialized&&!t.isClone){if(!this.options.initAsync)return this.init(t,a),this;setTimeout(()=>{this.init(t,a)},0)}}init(t={},a){this.isInitializing=!0,typeof t=="function"&&(a=t,t={}),t.defaultNS==null&&t.ns&&(ue(t.ns)?t.defaultNS=t.ns:t.ns.indexOf("translation")<0&&(t.defaultNS=t.ns[0]));const n=rp();this.options={...n,...this.options,...kw(t)},this.options.interpolation={...n.interpolation,...this.options.interpolation},t.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=t.keySeparator),t.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=t.nsSeparator),typeof this.options.overloadTranslationOptionHandler!="function"&&(this.options.overloadTranslationOptionHandler=n.overloadTranslationOptionHandler),this.options.showSupportNotice!==!1&&!G3(this)&&typeof console<"u"&&typeof console.info<"u"&&console.info("🌐 i18next is maintained with support from locize.com — consider powering your project with managed localization (AI, CDN, integrations): https://locize.com 💙");const r=d=>d?typeof d=="function"?new d:d:null;if(!this.options.isClone){this.modules.logger?on.init(r(this.modules.logger),this.options):on.init(null,this.options);let d;this.modules.formatter?d=this.modules.formatter:d=U3;const u=new gw(this.options);this.store=new mw(this.options.resources,this.options);const h=this.services;h.logger=on,h.resourceStore=this.store,h.languageUtils=u,h.pluralResolver=new D3(u,{prepend:this.options.pluralSeparator,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),this.options.interpolation.format&&this.options.interpolation.format!==n.interpolation.format&&this.logger.deprecate("init: you are still using the legacy format function, please use the new approach: https://www.i18next.com/translation-function/formatting"),d&&(!this.options.interpolation.format||this.options.interpolation.format===n.interpolation.format)&&(h.formatter=r(d),h.formatter.init&&h.formatter.init(h,this.options),this.options.interpolation.format=h.formatter.format.bind(h.formatter)),h.interpolator=new ww(this.options),h.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},h.backendConnector=new L3(r(this.modules.backend),h.resourceStore,h,this.options),h.backendConnector.on("*",(p,...b)=>{this.emit(p,...b)}),this.modules.languageDetector&&(h.languageDetector=r(this.modules.languageDetector),h.languageDetector.init&&h.languageDetector.init(h,this.options.detection,this.options)),this.modules.i18nFormat&&(h.i18nFormat=r(this.modules.i18nFormat),h.i18nFormat.init&&h.i18nFormat.init(this)),this.translator=new Kd(this.services,this.options),this.translator.on("*",(p,...b)=>{this.emit(p,...b)}),this.modules.external.forEach(p=>{p.init&&p.init(this)})}if(this.format=this.options.interpolation.format,a||(a=Dc),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const d=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);d.length>0&&d[0]!=="dev"&&(this.options.lng=d[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(d=>{this[d]=(...u)=>this.store[d](...u)}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(d=>{this[d]=(...u)=>(this.store[d](...u),this)});const l=As(),c=()=>{const d=(u,h)=>{this.isInitializing=!1,this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. You should call init just once!"),this.isInitialized=!0,this.options.isClone||this.logger.log("initialized",this.options),this.emit

476("initialized",this.options),l.resolve(h),a(u,h)};if(this.languages&&!this.isInitialized)return d(null,this.t.bind(this));this.changeLanguage(this.options.lng,d)};return this.options.resources||!this.options.initAsync?c():setTimeout(c,0),l}loadResources(t,a=Dc){var o,s;let n=a;const r=ue(t)?t:this.language;if(typeof t=="function"&&(n=t),!this.options.resources||this.options.partialBundledLanguages){if((r==null?void 0:r.toLowerCase())==="cimode"&&(!this.options.preload||this.options.preload.length===0))return n();const l=[],c=d=>{if(!d||d==="cimode")return;this.services.languageUtils.toResolveHierarchy(d).forEach(h=>{h!=="cimode"&&l.indexOf(h)<0&&l.push(h)})};r?c(r):this.services.languageUtils.getFallbackCodes(this.options.fallbackLng).forEach(u=>c(u)),(s=(o=this.options.preload)==null?void 0:o.forEach)==null||s.call(o,d=>c(d)),this.services.backendConnector.load(l,this.options.ns,d=>{!d&&!this.resolvedLanguage&&this.language&&this.setResolvedLanguage(this.language),n(d)})}else n(null)}reloadResources(t,a,n){const r=As();return typeof t=="function"&&(n=t,t=void 0),typeof a=="function"&&(n=a,a=void 0),t||(t=this.languages),a||(a=this.options.ns),n||(n=Dc),this.services.backendConnector.reload(t,a,o=>{r.resolve(),n(o)}),r}use(t){if(!t)throw new Error("You are passing an undefined module! Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&HS.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1)){for(let a=0;a<this.languages.length;a++){const n=this.languages[a];if(!(["cimode","dev"].indexOf(n)>-1)&&this.store.hasLanguageSomeTranslations(n)){this.resolvedLanguage=n;break}}!this.resolvedLanguage&&this.languages.indexOf(t)<0&&this.store.hasLanguageSomeTranslations(t)&&(this.resolvedLanguage=t,this.languages.unshift(t))}}changeLanguage(t,a){this.isLanguageChangingTo=t;const n=As();this.emit("languageChanging",t);const r=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},o=(l,c)=>{c?this.isLanguageChangingTo===t&&(r(c),this.translator.changeLanguage(c),this.isLanguageChangingTo=void 0,this.emit("languageChanged",c),this.logger.log("languageChanged",c)):this.isLanguageChangingTo=void 0,n.resolve((...d)=>this.t(...d)),a&&a(l,(...d)=>this.t(...d))},s=l=>{var u,h;!t&&!l&&this.services.languageDetector&&(l=[]);const c=ue(l)?l:l&&l[0],d=this.store.hasLanguageSomeTranslations(c)?c:this.services.languageUtils.getBestMatchFromCodes(ue(l)?[l]:l);d&&(this.language||r(d),this.translator.language||this.translator.changeLanguage(d),(h=(u=this.services.languageDetector)==null?void 0:u.cacheUserLanguage)==null||h.call(u,d)),this.loadResources(d,m=>{o(m,d)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?s(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(s):this.services.languageDetector.detect(s):s(t),n}getFixedT(t,a,n){const r=(o,s,...l)=>{let c;typeof s!="object"?c=this.options.overloadTranslationOptionHandler([o,s].concat(l)):c={...s},c.lng=c.lng||r.lng,c.lngs=c.lngs||r.lngs,c.ns=c.ns||r.ns,c.keyPrefix!==""&&(c.keyPrefix=c.keyPrefix||n||r.keyPrefix);const d=this.options.keySeparator||".";let u;return c.keyPrefix&&Array.isArray(o)?u=o.map(h=>(typeof h=="function"&&(h=Km(h,{...this.options,...s})),`${c.keyPrefix}${d}${h}`)):(typeof o=="function"&&(o=Km(o,{...this.options,...s})),u=c.keyPrefix?`${c.keyPrefix}${d}${o}`:o),this.t(u,c)};return ue(t)?r.lng=t:r.lngs=t,r.ns=a,r.keyPrefix=n,r}t(...t){var a;return(a=this.translator)==null?void 0:a.translate(...t)}exists(...t){var a;return(a=this.translator)==null?void 0:a.exists(...t)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t,a={}){if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const n=a.lng||this.resolvedLanguage||this.languages[0],r=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(n.toLowerCase()==="cimode")return!0;const s=(l,c)=>{const d=this.services.backendConnector.state[`${l}|${c}`];return d===-1||d===0||d===2};if(a.precheck){const l=a.precheck(this,s);if(l!==void 0)return l}return!!(this.hasResourceBundle(n,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(n,t)&&(!r||s(o,t)))}loadNamespaces(t,a){const n=As();return this.options.ns?(ue(t)&&(t=[t]),t.forEach(r=>{this.options.ns.indexOf(r)<0&&this.options.ns.push(r)}),this.loadResources(r=>{n.resolve(),a&&a(r)}),n):(a&&a(),Promise.resolve())}loadLanguages(t,a){const n=As();ue(t)&&(t=[t]);const r=this.options.preload||[],o=t.filter(s=>r.indexOf(s)<0&&this.services.languageUtils.isSupportedCode(s));return o.length?(this.options.preload=r.concat(o),this.loadResources(s=>{n.resolve(),a&&a(s)}),n):(a&&a(),Promise.resolve())}dir(t){var r,o;if(t||(t=this.resolvedLanguage||(((r=this.languages)==null?void 0:r.length)>0?this.languages[0]:this.language)),!t)return"rtl";try{const s=new Intl.Locale(t);if(s&&s.getTextInfo){const l=s.getTextInfo();if(l&&l.direction)return l.direction}}catch{}const a=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],n=((o=this.services)==null?void 0:o.languageUtils)||new gw(rp());return t.toLowerCase().indexOf("-latn")>1?"ltr":a.indexOf(n.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(t={},a){const n=new Qs(t,a);return n.createInstance=Qs.createInstance,n}cloneInstance(t={},a=Dc){const n=t.forkResourceStore;n&&delete t.forkResourceStore;const r={...this.options,...t,isClone:!0},o=new Qs(r);if((t.debug!==void 0||t.prefix!==void 0)&&(o.logger=o.logger.clone(t)),["store","services","language"].forEach(l=>{o[l]=this[l]}),o.services={...this.services},o.services.utils={hasLoadedNamespace:o.hasLoadedNamespace.bind(o)},n){const l=Object.keys(this.store.data).reduce((c,d)=>(c[d]={...this.store.data[d]},c[d]=Object.keys(c[d]).reduce((u,h)=>(u[h]={...c[d][h]},u),c[d]),c),{});o.store=new mw(l,r),o.services.resourceStore=o.store}if(t.interpolation){const c={...rp().interpolation,...this.options.interpolation,...t.interpolation},d={...r,interpolation:c};o.services.interpolator=new ww(d)}return o.translator=new Kd(o.services,r),o.translator.on("*",(l,...c)=>{o.emit(l,...c)}),o.init(r,a),o.translator.options=r,o.translator.backendConnector.services.utils={hasLoadedNamespace:o.hasLoadedNamespace.bind(o)},o}toJSON(){return{options:this.options,store:this.store,language:this.language,languages:this.languages,resolvedLanguage:this.resolvedLanguage}}}const Ct=Qs.createInstance();Ct.createInstance;Ct.dir;Ct.init;Ct.loadResources;Ct.reloadResources;Ct.use;Ct.changeLanguage;Ct.getFixedT;Ct.t;Ct.exists;Ct.setDefaultNamespace;Ct.hasLoadedNamespace;Ct.loadNamespaces;Ct.loadLanguages;const F3=(e,t,a,n)=>{var o,s,l,c;const r=[a,{code:t,...n||{}}];if((s=(o=e==null?void 0:e.services)==null?void 0:o.logger)!=null&&s.forward)return e.services.logger.forward(r,"warn","react-i18next::",!0);xo(r[0])&&(r[0]=`react-i18next:: ${r[0]}`),(c=(l=e==null?void 0:e.services)==null?void 0:l.logger)!=null&&c.warn?e.services.logger.warn(...r):console!=null&&console.warn&&console.warn(...r)},Cw={},VS=(e,t,a,n)=>{xo(a)&&Cw[a]||(xo(a)&&(Cw[a]=new Date),F3(e,t,a,n))},WS=(e,t)=>()=>{if(e.isInitialized)t();else{const a=()=>{setTimeout(()=>{e.off("initialized",a)},0),t()};e.on("initialized",a)}},Ym=(e,t,a)=>{e.loadNamespaces(t,WS(e,a))},Sw=(e,t,a,n)=>{if(xo(a)&&(a=[a]),e.options.preload&&e.options.preload.indexOf(t)>-1)return Ym(e,a,n);a.forEach(r=>{e.options.ns.indexOf(r)<0&&e.options.ns.push(r)}),e.loadLanguages(t,WS(e,n))},H3=(e,t,a={})=>

476!t.languages||!t.languages.length?(VS(t,"NO_LANGUAGES","i18n.languages were undefined or empty",{languages:t.languages}),!0):t.hasLoadedNamespace(e,{lng:a.lng,precheck:(n,r)=>{if(a.bindI18n&&a.bindI18n.indexOf("languageChanging")>-1&&n.services.backendConnector.backend&&n.isLanguageChangingTo&&!r(n.isLanguageChangingTo,e))return!1}}),xo=e=>typeof e=="string",B3=e=>typeof e=="object"&&e!==null,V3=/&(?:amp|#38|lt|#60|gt|#62|apos|#39|quot|#34|nbsp|#160|copy|#169|reg|#174|hellip|#8230|#x2F|#47);/g,W3={"&amp;":"&","&#38;":"&","&lt;":"<","&#60;":"<","&gt;":">","&#62;":">","&apos;":"'","&#39;":"'","&quot;":'"',"&#34;":'"',"&nbsp;":" ","&#160;":" ","&copy;":"©","&#169;":"©","&reg;":"®","&#174;":"®","&hellip;":"…","&#8230;":"…","&#x2F;":"/","&#47;":"/"},$3=e=>W3[e],K3=e=>e.replace(V3,$3);let Jm={bindI18n:"languageChanged",bindI18nStore:"",transEmptyNodeValue:"",transSupportBasicHtmlNodes:!0,transWrapTextNodes:"",transKeepBasicHtmlNodesFor:["br","strong","i","p"],useSuspense:!0,unescape:K3,transDefaultProps:void 0};const Y3=(e={})=>{Jm={...Jm,...e}},J3=()=>Jm;let $S;const Q3=e=>{$S=e},Z3=()=>$S,X3={type:"3rdParty",init(e){Y3(e.options.react),Q3(e)}},eM=f.createContext();class tM{constructor(){this.usedNamespaces={}}addUsedNamespaces(t){t.forEach(a=>{this.usedNamespaces[a]||(this.usedNamespaces[a]=!0)})}getUsedNamespaces(){return Object.keys(this.usedNamespaces)}}var KS={exports:{}},YS={};/**
477 * @license React
478 * use-sync-external-store-shim.production.js
479 *
480 * Copyright (c) Meta Platforms, Inc. and affiliates.
481 *
482 * This source code is licensed under the MIT license found in the
483 * LICENSE file in the root directory of this source tree.
484 */var Hi=f;function aM(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var nM=typeof Object.is=="function"?Object.is:aM,rM=Hi.useState,oM=Hi.useEffect,iM=Hi.useLayoutEffect,sM=Hi.useDebugValue;function lM(e,t){var a=t(),n=rM({inst:{value:a,getSnapshot:t}}),r=n[0].inst,o=n[1];return iM(function(){r.value=a,r.getSnapshot=t,op(r)&&o({inst:r})},[e,a,t]),oM(function(){return op(r)&&o({inst:r}),e(function(){op(r)&&o({inst:r})})},[e]),sM(a),a}function op(e){var t=e.getSnapshot;e=e.value;try{var a=t();return!nM(e,a)}catch{return!0}}function cM(e,t){return t()}var dM=typeof window>"u"||typeof window.document>"u"||typeof window.document.createElement>"u"?cM:lM;YS.useSyncExternalStore=Hi.useSyncExternalStore!==void 0?Hi.useSyncExternalStore:dM;KS.exports=YS;var uM=KS.exports;const hM=(e,t)=>xo(t)?t:B3(t)&&xo(t.defaultValue)?t.defaultValue:Array.isArray(e)?e[e.length-1]:e,pM={t:hM,ready:!1},mM=()=>()=>{},we=(e,t={})=>{var I,N,V;const{i18n:a}=t,{i18n:n,defaultNS:r}=f.useContext(eM)||{},o=a||n||Z3();o&&!o.reportNamespaces&&(o.reportNamespaces=new tM),o||VS(o,"NO_I18NEXT_INSTANCE","useTranslation: You will need to pass in an i18next instance by using initReactI18next");const s=f.useMemo(()=>{var z;return{...J3(),...(z=o==null?void 0:o.options)==null?void 0:z.react,...t}},[o,t]),{useSuspense:l,keyPrefix:c}=s,d=r||((I=o==null?void 0:o.options)==null?void 0:I.defaultNS),u=xo(d)?[d]:d||["translation"],h=f.useMemo(()=>u,u);(V=(N=o==null?void 0:o.reportNamespaces)==null?void 0:N.addUsedNamespaces)==null||V.call(N,h);const m=f.useRef(0),p=f.useCallback(z=>{if(!o)return mM;const{bindI18n:L,bindI18nStore:E}=s,K=()=>{m.current+=1,z()};return L&&o.on(L,K),E&&o.store.on(E,K),()=>{L&&L.split(" ").forEach(F=>o.off(F,K)),E&&E.split(" ").forEach(F=>o.store.off(F,K))}},[o,s]),b=f.useRef(),g=f.useCallback(()=>{if(!o)return pM;const z=!!(o.isInitialized||o.initializedStoreOnce)&&h.every(j=>H3(j,o,s)),L=t.lng||o.language,E=m.current,K=b.current;if(K&&K.ready===z&&K.lng===L&&K.keyPrefix===c&&K.revision===E)return K;const Z={t:o.getFixedT(L,s.nsMode==="fallback"?h:h[0],c),ready:z,lng:L,keyPrefix:c,revision:E};return b.current=Z,Z},[o,h,c,s,t.lng]),[v,w]=f.useState(0),{t:y,ready:x}=uM.useSyncExternalStore(p,g,g);f.useEffect(()=>{if(o&&!x&&!l){const z=()=>w(L=>L+1);t.lng?Sw(o,t.lng,h,z):Ym(o,h,z)}},[o,t.lng,h,x,l,v]);const k=o||{},C=f.useRef(null),S=f.useRef(),A=z=>{const L=Object.getOwnPropertyDescriptors(z);L.__original&&delete L.__original;const E=Object.create(Object.getPrototypeOf(z),L);if(!Object.prototype.hasOwnProperty.call(E,"__original"))try{Object.defineProperty(E,"__original",{value:z,writable:!1,enumerable:!1,

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User-Generated Content Explained, and Why It Still Works in 2026",description:"UGC is content made by real people, not brands. What c

528ounts as UGC, the formats it takes, where brands source it, and how AI UGC fits alongside it.",body:`User-generated content (UGC) is any photo, video, review or post created by a real person — a customer, a fan, a hired creator — rather than by a brand's own studio. It works because viewers read it as a peer's account of using a product rather than a brand's claim about it — a recommendation rather than an advertisement.
529
530## What counts as user-generated content?
531
532UGC is defined by authorship, not by production value. If the person holding the camera sits outside the brand's marketing function — a customer, a community member, a freelance creator filming in their own kitchen — the output is UGC. If a studio, agency crew or art director produced it on a set, it is branded content, however casual it looks.
533
534Three practical tests separate the two:
535
536- **Authorship.** Who decided what to say? UGC carries the creator's own words, pacing and framing, even when a brand supplied a brief.
537- **Context.** UGC is shot where the product is actually used — a bathroom counter, a car boot, a gym bag — not against a seamless backdrop.
538- **Format.** It is made for the feed it will live in: vertical, handheld, spoken to camera, rather than a 16:9 master cropped down.
539
540The compact definition lives in the glossary entry for [user-generated content](/glossary/user-generated-content); this page is the long version.
541
542### What is not UGC
543
544Stock photography is not UGC: it is professionally produced imagery licensed from a library, and audiences have learned to recognise the look — see [UGC vs stock photography](/glossary/ugc-vs-stock). A polished studio ad is not UGC either, even cropped to 9:16 with a shaky-cam filter. A celebrity endorsement is different again: its persuasion runs through fame, not peer similarity.
545
546## What formats does UGC take?
547
548UGC is a category, not a single asset type. The formats brands actually reuse fall into a handful of recognisable shapes:
549
550- **Reviews and ratings** — the oldest form of UGC, and the one most product pages are already built to display.
551- **Photo reviews** — a customer's own image attached to a review, showing scale, colour and real lighting.
552- **Unboxings** — first contact with the packaging, filmed in one take.
553- **Testimonials** — a person on camera explaining the problem the product solved.
554- **Tutorials and how-tos** — the format that answers "will I actually be able to use this?"
555- **Before-and-after** — common in beauty, fitness, home and repair categories, where the change is visible in one frame.
556- **Hauls and get-ready-with-me** — the product appears inside a routine rather than as the subject.
557- **Duets, stitches and reaction clips** — UGC responding to other UGC.
558- **Community threads and forum posts** — text UGC that ranks, gets quoted, and increasingly gets cited by AI answer engines.
559
560Testimonials are the easiest format to commission, which is why libraries fill up with them. But a testimonial-only library leaves one question unanswered — whether the buyer will manage to use the product — which is what tutorials and photo reviews exist to handle.
561
562## Why does UGC read as credible to viewers?
563
564The credibility of UGC is not about video quality. It comes from a small set of signals that are hard to fake:
565
566**A peer authorship signal.** The viewer assumes the speaker has nothing to gain, so the claim is processed as information rather than persuasion. That assumption is fragile — the moment a piece looks scripted, the signal inverts and the content reads worse than an honest ad.
567
568**Imperfection as evidence.** A cluttered counter, a slightly clipped mic, a stumble mid-sentence: each of these says "not staged". Polish removes the very artefacts that carry proof.
569
570**Specificity.** "It fits a 15-inch laptop and my water bottle" persuades where "great capacity" does not. UGC tends to be specific because the creator is describing a real object in a real situation.
571
572**Native format fit.** UGC matches the grammar of the feed it appears in, so it is scrolled through rather than skipped past. This is why UGC is a staple of [performance creative](/glossary/performance-creative) — it is built to be tested, not admired.
573
574**Representation.** Real bodies, homes and accents let a wider range of viewers picture themselves owning the product.
575
576The limits matter too. UGC works against you when the category depends on institutional trust rather than peer relatability, when the claim is regulated and needs substantiation, or when the problem is awareness rather than conversion. Studio work still earns its place there.
577
578## Where do brands source UGC?
579
580There are five practical routes, and mature programmes run several at once.
581
582| Source | Who creates it | Message control | Rights you must secure | Best used for |
583|---|---|---|---|---|
584| Organic customer content | Existing customers, unprompted | None | Written permission to repost; a separate licence before any paid use | Product-page social proof, organic reposts |
585| Commissioned creator UGC | Paid creators filming to a brief | Brief-level | Usage rights by channel and term, model release, renewal terms | Testimonials, launches, hero moments |
586| Community, affiliate and ambassador content | Programme members | Guideline-level | Programme terms covering reuse and disclosure | Steady volume, seeding, loyalty |
587| Employee-generated content | Staff on camera | High | Internal 

587consent and employment-safe usage terms | Founder stories, behind-the-scenes |
588| AI UGC | Generated from a licensed creator or AI avatar plus a product and a prompt | Prompt-level | Consent and likeness licence applied at generation time | Variant volume, iteration, always-on testing |
589
590Each route trades control against credibility in the same direction: the more the brand controls the message, the less the content behaves like a recommendation. Match route to job rather than picking a favourite.
591
592## Is commissioned creator content still UGC?
593
594Yes, with a caveat. A paid creator filming in their own home, in their own words, produces content that carries the authorship, context and format signals above — that is what the industry means by "UGC creator": a paid production role, not a spontaneous customer act. What breaks the category is not payment but voice: the moment a creator reads a brand script verbatim to camera in a rented studio, you have branded content delivered by a freelancer.
595
596The honest framing is that UGC has become a *style* as well as a *source*, and the two should be tracked separately. Content from real customers earns trust you cannot buy; content produced in the UGC style earns attention in the feed. Confusing them is how brands end up with assets that look authentic and behave like ads.
597
598## How does AI UGC fit alongside human UGC?
599
600[AI UGC](/glossary/ai-ugc) is content produced in the UGC style by pairing a product, a creator's licensed likeness or an [AI avatar](/glossary/ai-avatar), and a written prompt — no shoot required. On HeroShots the likeness side is the point: a [creator avatar](/glossary/creator-avatar) is built from a real, consenting person, and [creator royalties](/glossary/creator-royalties) are part of the licence, so the person whose face appears on screen is credited rather than copied.
601
602The mechanics are deliberately unglamorous: a product imported from an Amazon URL or uploaded, paired with an avatar and a prompt, returned as photo or video UGC. Paid plans expose an API with official SDKs on npm, PyPI and Packagist, so generation can sit inside an existing pipeline.
603
604AI UGC does not replace the customer review or the founder-to-camera testimonial. It replaces the part of the workload that was never really about authenticity — the twelfth background variant, the fifteenth hook, the version reshot because the packaging changed. The head-to-head breakdowns in [AI UGC vs hiring UGC creators](/compare/ai-ugc-vs-hiring-ugc-creators) and [AI UGC vs a product photoshoot](/compare/ai-ugc-vs-product-photoshoot) cover which layer to move first.
605
606A workable division of labour looks like this: real customers for proof, commissioned creators for the flagship narrative, and AI UGC for the volume layer underneath both.
607
608## How do you judge whether a piece of UGC is any good?
609
610Run each asset through these checks before it enters rotation:
611
6121. **Does the first second show the product in use?** Not the logo, not the creator's face — the thing being sold, doing its job.
6132. **Would this person say this sentence unpaid?** If the line only exists because a brand wrote it, cut it.
6143. **Is there one specific, checkable detail?** A measurement, a duration, a failure mode. Generic praise persuades nobody.
6154. **Does the setting match the buyer's setting?** A product filmed in a location the target audience will never occupy loses the "peo

615ple like me" signal.
6165. **Is it legible with sound off?** Much of the feed is muted; the story must survive captions alone.
6176. **Does it name the objection?** Great UGC handles the reason someone would not buy, not the reason they would.
6187. **Is the identity consistent across the set?** If you are running a series, the same person should look like the same person — see [avatar consistency](/glossary/avatar-consistency).
6198. **Are the rights on file before it runs?** No asset ships without a documented licence.
620
621## What rights do you need before you publish UGC?
622
623This is where UGC programmes quietly accumulate risk. A repost on your own social account and a paid ad using the same clip are different permissions, and a customer saying "sure, go ahead" in a DM does not cover the second.
624
625At minimum you want a [model release](/glossary/model-release) for anyone recognisable on camera, explicit [usage rights](/glossary/usage-rights) stating channel, territory and duration, and — where a likeness is reused to generate new content — a [likeness licence](/glossary/likeness-licensing) that covers synthetic outputs, not just the original footage. Rights expire;

625 calendar the renewals. Music is a separate clearance and easy to overlook.
626
627For AI UGC the same obligations apply, plus disclosure. Platforms increasingly expect realistic AI-generated or AI-altered content to be labelled, and transparency rules for synthetic media are tightening in several jurisdictions — the glossary entry on [watermarks](/glossary/watermark) covers how visible marking works in practice. Building consent into the generation step rather than bolting it on afterwards is what keeps a programme defensible at scale.
628
629## What does UGC cost, and how do teams budget for it?
630
631The cost of traditional UGC is driven by variables rather than a single line item: creator fees, product cost and shipping, the length of the usage licence, exclusivity, revisions, and whether you need the same creator again next quarter. Licence length and paid-media rights are usually the biggest drivers, and they are negotiated creator by creator, which is why the total is hard to forecast.
632
633AI UGC prices differently because there is no shoot to schedule. On HeroShots, images are billed by batch of four variants: the first batch in a project is €4.90, and each further batch in that same project is €1.90. An edit on a chosen image is €0.39, or €0.23 on HeroShots Pro. Video is €15 for up to 15 seconds and €35 for up to 30 seconds, with extra retries at €5 per 15-second block. Using a real catalog model adds a likeness fee of +25% on the base price, with a floor of €0.90 on images and €5 on videos; AI avatars add no fee. A custom AI avatar setup is €100 one-time; bringing your own model is €300 one-time.
634
635HeroShots Pro is €99/month and removes watermarks, adds direct downloads and a priority queue, makes edits cheaper and takes −15% off videos. For teams working at video volume there are pre-paid packages: Starter at €350 (€70/video), Growth at €650 (€65/video) and Scale at €1,500 (€60/video). All prices exclude VAT; the full breakdown is on the [pricing page](/pricing).
636
637The free plan gives 10 watermarked images a month and one video preview with no credit card, which is enough to judge whether the output clears the quality bar above before committing budget. Start there, then read [what the platform actually does](/product) once you have something worth scaling.`,faqs:[{q:"What does UGC stand for?",a:"UGC stands for user-generated content: photos, videos, reviews, social posts or forum comments created by real people rather than by a brand's in-house team or paid studio. The defining trait is authorship — the content originates with a customer, fan or independent creator. In marketing, UGC is valued because audiences read it as a peer's account of using a product rather than a brand's claim about it."},{q:"Is a paid creator's video still UGC?",a:"Generally yes. A creator filming in their own home, in their own words, to a loose brief produces content with the authorship, context and format signals that make UGC work — payment does not remove them. What does break the category is voice: a creator reading a brand script verbatim on a rented set is branded content delivered by a freelancer, not UGC, however casual the framing looks."},{q:"What is the difference between UGC and influencer marketing?",a:"Influencer marketing buys distribution: you pay for access to someone's audience, and the post runs on their channel. UGC buys content: you commission or license an asset and run it on your own channels, usually as paid media. The same person can supply both, but the deliverable, the pricing and the usage rights differ. A UGC creator is often hired purely for the footage, in which case audience size is beside the point."},{q:"Is AI UGC really UGC?",a:"AI UGC is content produced in the UGC style using generative AI rather than a filmed shoot, built from a product, a prompt and a licensed likeness or AI avatar. When it is grounded in a real, consenting creator with a likeness licence and royalties, it carries a genuine human identity. Fully synthetic personas are a separate category — closer to a virtual influencer — and should be described that way rather than passed off as customer content."},{q:"Do I need permission to repost a customer's photo?",a:"Yes. Public posting does not grant a brand a licence to reuse content commercially. Ask for written permission that names the specific asset and the intended use, and get a separate, broader licence before running anything as paid media. If a recognisable person appears, you also want a model release. Keep the paper trail with the file, because permissions expire and reposts outlive the conversation that authorised them."},{q:"Which UGC formats work best on product pages?",a:"Photo reviews and short tutorials answer the two questions a product description cannot: what the item actually looks like in a normal room, and whether the buyer will manage to use it. That makes them a natural fit on the page itself. Testimonials are usually better suited to feed placements, where the job is to interrupt rather than to resolve a specific doubt. Before-and-after content suits beauty, fitness and home categories but attracts claim-substantiation scrutiny, so check the wording with whoever signs off on claims."},{q:"How many UGC variants should I test?",a:"Enough that the winner is a finding rather than an accident, which means treating hooks, creators, settings and openings as separate variables instead of shipping one hero asset a month. The historical constraint was production cost: when every variant needs a shoot, the test plan shrinks to fit the budget rather than the question. When variants are cheap to produce, the bottleneck moves to how fast you can read results and how much traffic each variant needs before the read means anything. Size the test from your measurement plan, not your calendar."},{q:"Does UGC have to look low quality?",a:"No. It has to look unstaged, which is not the same thing. Sharp footage, clean audio and good lighting all help; what hurts is production grammar the feed reads as advertising — seamless backdrops, logo lockups in the opening frame, scripted delivery, colour grading that no phone produces. Aim for the best-looking content a well-equipped real person could plausibly have filmed at home."},{q:"How much does AI UGC cost on HeroShots?",a:"Images are billed per batch of four variants: €4.90 for the first batch in a project, €1.90 for each further batch in that project. An edit on a chosen image is €0.39, or €0.23 with HeroShots Pro. Video is €15 up to 15 seconds and €35 up to 30 seconds, with extra retries at €5 per 15-second block. Using a real catalog model adds a likeness fee of +25% on the base price, with a floor of €0.90 on images and €5 on videos; AI avatars add no fee. Prices exclude VAT; see the pricing page for pre-paid packages."},{q:"Do I have to disclose that UGC was AI-generated?",a:"Plan for it. Major social platforms expect realistic AI-generated or AI-altered content to be labelled, and transparency obligations for synthetic media are tightening in several jurisdictions. Treat disclosure as a default rather than an exception, keep any AI labelling in place through export and publishing, and check current platform policy and local rules before a campaign runs — requirements in this area change faster than most creative calendars."}],metaTitle:"What Is UGC? Definition, Formats, Examples"},it:{title:"Cos'è l'UGC e perché batte la pubblicità tradizionale nel 2026",description:"L'UGC è contenuto creato da persone reali, non dai brand. Sul paid social batte tipicamente gli ad da studio — e l'AI UGC permette di produrlo a una frazione del costo di uno shooting.",body:`Lo user-generated content (UGC) è qualsiasi foto, video o recensione creato da una persona reale — un cliente, un creator, un fan — invece che dallo studio interno del brand. Nel 2026 l'UGC genera tipicamente **click-through rate più alti** e **conversioni migliori** rispetto al creative da studio su Meta e TikTok, perché il cervello lo interpreta come una raccomandazione, non come una pubblicità.
638
639## Perché l'UGC batte il creative da studio
640
641- **Bias di autenticità**: il cervello tratta il contenuto peer come prova sociale.
642- **Fit nativo**: sembra il feed, non un'interruzione.
643- **Diversità**: corpi, case e accenti reali fanno percepire il prodotto come usabile da "gente come me".
644
645## Perché i brand hanno faticato con l'UGC fino al 2025
646
647Trovare creator, spedire prodotti, licenze e montaggio richiedevano 2–4 settimane per video e un budget di produzione vero. Scalare su 50 SKU in 5 lingue era fuori portata per la maggior parte dei team.
648
649## Cosa è cambiato nel 2026: l'AI UGC
650
651Piattaforme come HeroShots permettono ai brand di generare UGC in 60 secondi con **model reali licenziati** che ricevono una royalty su ogni uso. Stessi segnali di autenticità, una frazione del costo, lead time quasi zero. L'UGC tradizionale non è morto: viene riservato ai momenti ad alta fi

651ducia (testimonial, campagne hero), mentre l'AI UGC gestisce il volume.`,faqs:[{q:"L'AI UGC è ancora considerato UGC?",a:"Sì, quando è costruito su creator reali licenziati come su HeroShots. I volti solo sintetici sono una categoria a parte e performano peggio sulle metriche di fiducia."},{q:"Meta e TikTok penalizzano l'AI UGC?",a:"No. Richiedono disclosure per contenuti completamente sintetici o ingannevoli, ma l'AI UGC con creator reali e licenza viene trattato come qualsiasi altro creative."},{q:"Quanto costa l'AI UGC vs tradizionale?",a:"Su HeroShots il primo batch di 4 varianti immagine in un progetto costa €4,90, ogni batch successivo €1,90, e il video parte da €15 fino a 15 secondi (prezzi IVA esclusa). Una frazione di quanto costa uno shooting UGC tradizionale."},{q:"Posso fare A/B test su 20 creative in un giorno?",a:"Sì. Generare 20 varianti richiede minuti su HeroShots; il collo di bottiglia passa dalla produzione all'apprendimento."}]},es:{title:"Qué es el UGC y por qué supera a la publicidad tradicional en 2026",description:"El UGC es contenido creado por personas reales, no por marcas. En paid social suele superar a los anuncios de estudio — y el AI UGC permite producirlo a una fracción del coste de un shooting.",body:`El user-generated content (UGC) es cualquier foto, vídeo o reseña creado por una persona real — un cliente, un creator, un fan — en vez del estudio interno de la marca. En 2026 el UGC genera normalmente **más click-through rate** y **mejor conversión** que el creative de estudio en Meta y TikTok, porque el cerebro lo procesa como una recomendación, no como un anuncio.
652
653## Por qué el UGC supera al creative de estudio
654
655- **Sesgo de autenticidad**: el cerebro trata el contenido peer como prueba social.
656- **Fit nativo**: parece el feed, no una interrupción.
657- **Diversidad**: cuerpos, casas y acentos reales hacen que el producto se perciba usable por "gente como yo".
658
659## Por qué las marcas sufrieron con el UGC hasta 2025
660
661Buscar creators, enviar producto, licencias y edición requerían 2–4 semanas por vídeo y un presupuesto de producción real. Escalar a 50 SKUs en 5 idiomas quedaba fuera del alcance de la mayoría de equipos.
662
663## Qué cambió en 2026: el AI UGC
664
665Plataformas como HeroShots permiten a las marcas generar UGC en 60 segundos con **models reales licenciados** que reciben royalty en cada uso. Mismas señales de autenticidad, una fracción del coste, lead time casi cero. El UGC tradicional no está muerto: se reserva para momentos de alta confianza (testimonios, campañas hero), mientras el AI UGC gestiona el volumen.`,faqs:[{q:"¿El AI UGC sigue siendo UGC?",a:"Sí, cuando se basa en creators reales licenciados como en HeroShots. Las caras puramente sintéticas son otra categoría y rinden peor en métricas de confianza."},{q:"¿Meta y TikTok penalizan el AI UGC?",a:"No. Exigen disclosure para contenido totalmente sintético o engañoso, pero el AI UGC con creators reales y licencia se trata como cualquier otro creative."},{q:"¿Cuánto cuesta el AI UGC vs tradicional?",a:"En HeroShots el primer batch de 4 variantes de imagen de un proyecto cuesta €4,90, cada batch adicional €1,90, y el vídeo arranca en €15 hasta 15 segundos (precios sin IVA). Una fracción de lo que cuesta un shooting UGC tradicional."},{q:"¿Puedo testear 20 creatives en un día?",a:"Sí. Generar 20 variantes lleva minutos en HeroShots; el cuello de botella pasa de la producción al aprendizaje."}]},de:{title:"Was ist UGC und warum schlägt es 2026 klassische Werbung",description:"UGC ist Content von echten Menschen, nicht von Marken. Auf Paid Social schlägt UGC Studio-Ads in der Regel — und AI UGC senkt die Produktionskosten auf einen Bruchteil eines Shoots.",body:`User-Generated Content (UGC) ist jedes Foto, Video oder Review von einer echten Person — Kunde, Creator, Fan — statt vom Inhouse-Studio der Marke. 2026 erzielt UGC in der Regel **höhere Click-Through-Rates** und **bessere Conversion** vs. Studio-Creative auf Meta und TikTok, weil das Gehirn es als Empfehlung statt als Werbung verarbeitet.
666
667## Warum UGC Studio-Creative schlägt
668
669- **Authentizitäts-Bias**: Peer-Content gilt als Social Proof.
670- **Native Fit**: sieht aus wie der Feed, nicht wie eine Unterbrechung.
671- **Diversität**: echte Körper, Wohnungen und Akzente machen das Produkt für "Leute wie mich" nutzbar.
672
673## Warum Marken bis 2025 mit UGC kämpften
674
675Creator finden, Produkte versenden, Lizenzen, Schnitt — 2–4 Wochen pro Video und ein echtes Produktionsbudget. Skalierung auf 50 SKUs in 5 Sprachen war für die meisten Teams nicht machbar.
676
677## Was sich 2026 ändert: AI UGC
678
679Plattformen wie HeroShots erlauben Marken, UGC in 60 Sekunden mit **echten lizenzierten Models** zu erzeugen, die für jede Nutzung Royalty erhalten. Gleiche Authentizität, ein Bruchteil der Kosten, nahezu null Vorlaufzeit. Klassisches UGC bleibt für vertrauenslastige Momente (Testimonials, Hero-Kampagnen); AI UGC übernimmt das Volumen.`,faqs:[{q:"Gilt AI UGC noch als UGC?",a:"Ja, wenn es auf echten lizenzierten Creators basiert wie bei HeroShots. Rein synthetische Gesichter sind eine separate Kategorie und schneiden bei Vertrauensmetriken schlechter ab."},{q:"Bestrafen Meta und TikTok AI UGC?",a:"Nein. Sie verlangen Disclosure für vollsynthetische oder irreführende Inhalte, behandeln aber lizenziertes AI UGC mit echten Creators wie jedes andere Creative."},{q:"Was kostet AI UGC vs klassisch?",a:"Auf HeroShots kostet der erste Batch mit 4 Bildvarianten pro Projekt €4,90, jeder weitere Batch €1,90, Video startet bei €15 für bis zu 15 Sekunden (Preise zzgl. MwSt.). Ein Bruchteil dessen, was ein klassischer UGC-Dreh kostet."},{q:"Kann ich 20 Creatives an einem Tag testen?",a:"Ja. 20 Varianten generieren dauert Minuten auf HeroShots; der Flaschenhals verschiebt sich von Produktion zu Learning."}]},fr:{title:"Qu'est-ce que l'UGC et pourquoi il bat la pub classique en 2026",description:"L'UGC, c'est du contenu cr

679éé par de vraies personnes, pas par les marques. En paid social, il surperforme généralement les ads studio — et l'AI UGC le produit pour une fraction du coût d'un tournage.",body:`Le user-generated content (UGC) désigne toute photo, vidéo ou avis créé par une vraie personne — client, créateur, fan — plutôt que par le studio interne de la marque. En 2026, l'UGC génère généralement **un meilleur click-through rate** et **une meilleure conversion** que le creative studio sur Meta et TikTok, parce que le cerveau le traite comme une recommandation, pas comme une pub.
680
681## Pourquoi l'UGC bat le creative studio
682
683- **Biais d'authenticité** : le cerveau lit le contenu pair comme preuve sociale.
684- **Fit natif** : on dirait le feed, pas une interruption.
685- **Diversité** : corps, intérieurs et accents réels rendent le produit utilisable par "des gens comme moi".
686
687## Pourquoi les marques galéraient avec l'UGC jusqu'en 2025
688
689Sourcer les créateurs, expédier les produits, licences et montage : 2–4 semaines par vidéo et un vrai budget de production. Passer à 50 SKU en 5 langues restait hors de portée pour la plupart des équipes.
690
691## Ce qui change en 2026 : l'AI UGC
692
693Des plateformes comme HeroShots permettent de générer de l'UGC en 60 secondes avec de **vrais models licenciés** qui touchent une royalty à chaque usage. Mêmes signaux d'authenticité, une fraction du coût, lead time quasi nul. L'UGC traditionnel n'est pas mort : il est réservé aux moments à forte confiance (témoignages, campagnes hero), tandis que l'AI UGC gère le volume.`,faqs:[{q:"L'AI UGC est-il toujours de l'UGC ?",a:"Oui, quand il s'appuie sur des créateurs réels licenciés comme sur HeroShots. Les visages purement synthétiques sont une catégorie à part et performent moins bien sur les métriques de confiance."},{q:"Meta et TikTok pénalisent-ils l'AI UGC ?",a:"Non. Ils exigent un disclosure pour le contenu entièrement synthétique ou trompeur, mais l'AI UGC avec créateurs réels et licence est traité comme n'importe quel creative."},{q:"Combien coûte l'AI UGC vs traditionnel ?",a:"Sur HeroShots, le premier batch de 4 variantes d'image d'un projet coûte €4,90, chaque batch suivant €1,90, et la vidéo démarre à €15 jusqu'à 15 secondes (prix HT). Une fraction du coût d'un tournage UGC traditionnel."},{q:"Puis-je tester 20 creatives en une journée ?",a:"Oui. Générer 20 variantes prend quelques minutes sur HeroShots ; le goulot passe de la production à l'apprentissage."}]}}},{slug:"ugc-vs-branded-content-data-costs-conversion",date:"2026-06-03",updated:"2026-07-27",author:"HeroShots",tags:["ugc","branded-content","performance"],translations:{en:{title:"UGC vs Branded Content: Costs, Conversion and How to Decide Your Mix",description:"UGC and branded studio content do different jobs. Compare what each signals, where each fits the funnel, how costs differ, and how to test your own mix.",body:`UGC-style creative and branded studio content do different jobs. UGC reads as a peer recommendation and earns attention inside a feed; branded content reads as an institution and builds recognition and trust. Their costs differ structurally, not by some fixed multiplier. So rather than trusting a published average — from anyone, vendors included — decide your mix by testing both on your own account.
694
695## What "UGC" and "branded content" actually mean in this comparison
696
697[User-generated content](/glossary/user-generated-content) is content whose apparent author is a person, not a brand: a customer filming an unboxing, a creator talking to camera, a phone photo of the product on a kitchen counter. Commissioned UGC is the paid version of the same thing — a brand hires a creator to produce content in that voice. [AI UGC](/glossary/ai-ugc) is the same style produced from a product image, a [creator avatar](/glossary/creator-avatar) or an AI avatar, and a [prompt](/glossary/prompt).
698
699Branded content is the opposite convention: authored, art-directed, openly the brand speaking. Studio product photography, campaign films, lifestyle shoots with a consistent grade, a logo lockup, a tagline. Deliberate, controlled, unmistakably paid for.
700
701These are **conventions, not quality tiers**. A UGC-style asset can be shot on a cinema camera and still read as UGC, because framing, pacing and voice carry the signal. A studio asset can be shot on a phone and still read as branded. You are cho

701osing a signal, not a budget.
702
703## What each format signals to a viewer
704
705A UGC-style asset signals *someone like me tried this*. That framing borrows the credibility of a recommendation and lowers the viewer's advertising defences, which is why it tends to survive in feeds where people are scrolling to be entertained, not sold to. It carries a limit: it says nothing about whether the company behind the product is real, durable, or safe to give a card number to.
706
707A branded asset signals *this is an established company that invested in how it presents itself* — a trust signal of a different kind. It is what a considered buyer looks for on a product page, in a category where the purchase is expensive, regulated, or embarrassing to get wrong.
708
709Most brands do not have a UGC problem or a branded content problem. They have a **coverage problem**: one signal is missing at the exact point in the journey where it does the work.
710
711## Where each format belongs in the funnel
712
713| Dimension | UGC-style creative | Branded / studio content |
714|---|---|---|
715| Core signal | Peer recommendation, relatability | Authority, permanence, craft |
716| Native home | Paid social feeds, Reels/TikTok, retargeting, reviews | Product pages, hero banners, PR, OOH, retail, decks |
717| Job to be done | Stop the scroll, earn the click, handle objections | Establish legitimacy, carry positioning, look consistent |
718| Format bias | Vertical, handheld, spoken, imperfect | Composed, lit, graded, typographically branded |
719| Variant appetite | High — many hooks per concept | Low — a few definitive assets |
720| Fatigue behaviour | Burns out faster; needs regular refresh | Ages slowly; refreshed per campaign cycle |
721| Main cost driver | Number of assets and people involved | Production complexity per asset |
722| Rights complexity | High if a real person appears | Lower, but still needs releases |
723
724The practical reading: UGC is a *volume* format and branded content is a *set-piece* format. Budgeting them the same way is where teams go wrong — they either commission a few polished assets and have nothing left to test with, or flood the feed with UGC and leave a product page that looks like nobody owns the brand.
725
726## Why you should not trust published UGC-vs-branded benchmarks
727
728Search this topic and you will find confident multipliers: UGC converts *X* times better, costs *Y* times less, lifts click-through by *Z* percent. Treat them as marketing. Here is why those averages break down.
729
730- **Survivorship bias.** Case studies get published when the new format won. Tests where UGC lost quietly never become a blog post.
731- **Category dominates.** Relatability tends to do more work in impulse categories; the balance shifts where the buyer is spending real money or buying for an employer.
732- **The offer is usually the confound.** A UGC test that also changed the hook, the landing page, or the discount is not a format test.
733- **Attribution settings are not comparable.** Different attribution windows and optimisation events can flip which format looks better on identical data.
734- **Publisher incentive.** Many published figures come from someone selling one of the two formats.
735
736A number you cannot trace back to a method you could replicate is decoration. The honest version of this article is not a multiplier — it is a test design.
737
738## How the production economics actually differ
739
740Look at what *drives* cost in each model; that structure stays stable even as rates change.
741
742**Branded studio content** front-loads cost. You pay for planning, talent, location, crew, equipment, styling, and post. The marginal cost of one *more* concept is high, because a new concept usually means a new setup or a new shoot day. Cost scales with production complexity, and the timeline is set by the calendar — you are booking people and places, so lead time is a scheduling problem before it is a budget problem.
743
744**Commissioned creator UGC** scales with the number of assets. Each asset means sourcing, briefing, shipping product, waiting, reviewing, requesting revisions, and negotiating [usage rights](/glossary/usage-rights). Cost per asset is driven by the creator's rate and the licence term rather than by a production day — but coordination overhead does not disappear with volume, because more assets means more people to brief, 

744chase and clear. Our [AI UGC vs hiring UGC creators](/compare/ai-ugc-vs-hiring-ugc-creators) comparison walks through that workflow.
745
746**AI UGC** decouples asset count from human coordination. Setup happens once — product, avatar, prompt structure — and additional variants are a generation, not a booking. What it does *not* remove is the strategic work: hooks, scripts, and the judgement about which variants deserve spend. For the studio side of the same trade-off, see [AI UGC vs a product photoshoot](/compare/ai-ugc-vs-product-photoshoot).
747
748## What HeroShots charges, stated as a formula
749
750We publish the formula rather than a total: a frozen total becomes wrong the day a price moves. All prices exclude VAT and are listed on the [pricing page](/pricing).
751
752- Images are billed per **batch of 4 variants** via [batch generation](/glossary/batch-generation): €4.90 for the first batch in a project, €1.90 for each further batch in that same project. A larger set therefore costs the first batch plus €1.90 for every additional batch.
753- Editing a chosen image is €0.39, or €0.23 on HeroShots Pro.
754- Video is €15 up to 15 seconds and €35 up to 30 seconds; extra retries are €5 per 15-second block.
755- Using a real catalog model adds a creator likeness fee of 25% on the base price, with a floor of €0.90 on images and €5 on videos. AI avatars add no likeness fee. A custom AI avatar is a €100 one-time setup; bringing your own model is €300 one-time.
756- HeroShots Pro is €99/month and removes watermarks, enables direct downloads, cuts video prices by 15%, lowers edit prices, and adds priority queue access.
757- The free plan gives 10 watermarked images per month and 1 video preview, with no credit card — enough to build the UGC arm of the test below before spending anything.
758
759Pre-paid packages bring the per-video rate down for teams generating continuously: Starter is €350 at €70 per video, Growth is €650 at €65 per video, and Scale is €1,500 at €60 per video.
760
761Two workflow details help when producing a test rather than a one-off: a project can start from an Amazon product URL, and paid plans include API access with official npm, PyPI and Packagist SDKs, so a re

761curring refresh can be scripted rather than clicked.
762
763## How to measure UGC vs branded content on your own account
764
765This is the part nobody's benchmark can do for you.
766
7671. **Pick one product and one audience.** Not a portfolio, not a broad prospecting set. Confounds multiply with scope.
7682. **Freeze everything downstream.** Same landing page, same offer, same price, same checkout. If you change the page, you are testing the page.
7693. **Write one message, then express it twice.** The same claim, once as a peer-voice UGC script and once as a branded studio treatment. Two different messages produce an uninterpretable result.
7704. **Produce several variants per format, never one.** A workable rule of thumb is three to five per side. Generate the UGC arm in batches so hooks vary while [avatar consistency](/glossary/avatar-consistency) keeps the identity stable.
7715. **Split budget evenly and let the platform learn.** Give each arm enough spend and enough days to leave the learning phase, then leave it alone.
7726. **Decide the metric before you look.** For [performance creative](/glossary/performance-creative), that usually means cost per acquisition or contribution margin per euro spent — not click-through, which rewards curiosity over intent.
7737. **Record the settings.** Attribution window, optimisation event, placements, dates. A result without its settings cannot be compared to the next one.
7748. **Read it as a cohort, not a winner.** Compare format averages across variants. The single best asset in either arm is noise.
7759. **Re-run it periodically.** Feed conventions shift, and last quarter's winner ages.
776
777### Guardrails that keep the read honest
778
779Watch fatigue: UGC-style assets tend to decay faster, so a short measurement window and a long one can disagree about the same test. Watch placement mix, because a format can win on one surface and lose on another. Check whether the losing arm is genuinely weaker or simply produced worse. And be honest about what a short test cannot see: the brand-building effect of polished content shows up in later demand, not in this week's cost per acquisition.
780
781## How to choose the mix
782
783Bias toward UGC-style volume when the purchase is low-consideration, the audience discovers you in a feed, you have many SKUs or markets to cover, and your bottleneck is iteration speed. Bias toward branded content when the purchase is high-consideration or regulated, when the buyer researches you before deciding, when the asset has to live on a product page or in retail for a long time, or when your positioning still needs to land.
784
785For most e-commerce teams the workable shape is a small, durable set of branded assets — [AI product photography](/solutions/ai-product-photography) covers a good share of those — plus a continuously refreshed UGC layer for paid social. Weighing that layer against a stock library rather than a shoot? See [AI UGC vs stock photography](/compare/ai-ugc-vs-stock-photography).
786
787## Rights, consent and disclosure apply to both formats
788
789Neither format exempts you from the paperwork. Studio shoots need model releases; commissioned UGC needs clear usage rights and a defined term; AI UGC involving a real person needs [likeness licensing](/glossary/likeness-licensing) and documented [AI likeness consent](/glossary/ai-likeness-consent). HeroShots builds consent, likeness licensing and creator royalties into the generation flow, so the rights travel with the asset instead of living in someone's inbox.
790
791Add a [brand safety](/glossary/brand-safety) review before anything ships: check that claims in a UGC script are ones you can substantiate, that the product is represented accurately, and that AI involvement is disclosed where the platform or the law requires it. A format that converts and then has to be pulled is not a cheap format. See [how the product works](/product) for how consent and licensing are recorded at generation time.`,faqs:[{q:"Does UGC really convert better than branded content?",a:"Sometimes, in some categories, on some placements — and no published average can tell you which applies to you. UGC tends to perform well in social feeds and impulse categories, while branded content tends to matter more for considered, expensive or regulated purchases. The only reliable answer comes from a controlled test on your own product, audience and landing page, with the offer held constant across both arms."},{q:"Which format should I use at each stage of the funnel?",a:"As a starting point: UGC-style creative for feed-based discovery, retargeting and objection handling, where it needs to read as a peer recommendation; branded content for product pages, hero placements, retail, PR and anywhere a buyer is checking whether your company is legitimate. Most brands need both, because the two send different trust signals and either one alone leaves a gap in the journey."},{q:"Why does UGC creative burn out faster than branded content?",a:"UGC lives in feeds where the same audience sees it repeatedly, and its effect depends on feeling fresh and unscripted. Once viewers recognise the hook, the peer-recommendation signal weakens. Branded assets usually sit in slower-moving contexts like product pages and campaigns, so they age on a campaign cycle instead. Practically, this means budgeting for continuous UGC refresh rather than a single one-

791off drop."},{q:"How do the costs of studio content, creator UGC and AI UGC differ structurally?",a:"Studio content front-loads cost into a production day, so each additional concept is expensive. Commissioned creator UGC scales with the number of assets, because every asset carries sourcing, shipping, review and licensing overhead. AI UGC decouples asset count from human coordination: setup happens once and each extra variant is a generation. That structural difference is far more durable than any cost multiplier you will read online."},{q:"What does AI UGC cost on HeroShots?",a:"Images are billed per batch of four variants: €4.90 for the first batch in a project and €1.90 for each further batch in that same project. Editing a chosen image is €0.39, or €0.23 on Pro. Video is €15 up to 15 seconds and €35 up to 30 seconds, with extra retries at €5 per 15-second block. All prices exclude VAT; the pricing page carries the current list."},{q:"Do I pay extra to use a real creator instead of an AI avatar?",a:"Yes. Using a real catalog model adds a creator likeness fee of 25% on the base price, with a floor of €0.90 on images and €5 on videos. That fee funds the royalty attached to the creator's licensed likeness. AI avatars add no likeness fee. A custom AI avatar costs €100 as a one-time setup, and bringing your own model costs €300 one-time."},{q:"How many variants do I need for a fair UGC vs branded test?",a:"More than one per side. A workable rule of thumb is three to five per format: a single asset per side measures the luck of one execution rather than the format itself, and creative variance within a format is often larger than the gap between formats. Compare cohort averages rather than the best individual performer, and keep the message, offer and landing page identical so format is genuinely the only variable."},{q:"Which metric should decide the winner?",a:"Choose it before you look at the data, and prefer a metric close to money: cost per acquisition or contribution margin per euro spent. Click-through rate and thumb-stop rate are useful diagnostics but reward curiosity rather than intent, so a format can win them and still lose on revenue. Record your attribution window and optimisation event, because results are not comparable across different measurement settings."},{q:"Can AI UGC replace branded studio content entirely?",a:"Not usually, and it is not designed to. AI UGC is a volume format built for testing and refreshing feed creative. Branded content still carries positioning, art direction, typography and the sense that a real company stands behind the product — signals that matter most on product pages and in considered purchases. The realistic setup is a durable branded core plus a continuously refreshed AI UGC layer."},{q:"Do I need to disclose that content is AI-generated?",a:"Requirements depend on the platform and your jurisdiction, so check both before publishing. Regardless of what is mandated, treat consent and licensing as non-negotiable: any AI content featuring a real person needs documented likeness consent and a licence covering the intended use. HeroShots records consent, likeness licensing and creator royalties at generation time, and the free plan applies a watermark that Pro removes."}],metaTitle:"UGC vs Branded Content: How to Decide"},it:{title:"UGC vs branded content: costi e conversione a confronto",description:"Sul paid social l'UGC batte in genere il branded studio su click-through e conversione, con un costo per asset molto più basso. Ecco il confronto lungo tutto il funnel.",body:`Sul paid social, l'**UGC supera in genere il branded studio lungo tutto il funnel**: click-through rate più alto, conversion rate migliore e un costo per asset molto inferiore a quello di uno shooting. Ecco il dettaglio.
792
793## CTR e thumb-stop rate
794
795L'UGC ottiene tipicamente un **CTR più alto** su Meta Advantage+ rispetto al creative da studio, e un thumb-stop rate (visualizzazioni 3s %) migliore. Il motivo è il framing feed-native: 9:16 verticale, energia "fatto a mano", nessun logo lockup nel primo frame.
796
797## Conversion e CPA
798
799Sulle stesse audience e landing, l'UGC tende a produrre una **conversion più alta** e un **CPA più basso** rispetto allo studio. Il gap si allarga nelle categorie a bassa considerazione (DTC apparel, beauty, integratori) e si restringe in B2B e finance, dove i segnali di fiducia degli asset brand contano ancora.
800
801## Costo per asset
802
803- Shooting studio: un budget di produzione pieno per asset finito (model, location, crew, montaggio).
804- UGC tradizionale: una fee per asset più prodotto, spedizione e licenza.
805- AI UGC su HeroShots: €4,90 il primo batch di 4 varianti immagine in un progetto, €1,90 ogni batch successivo, €15 per un video fino a 15 secondi (IVA esclusa).
806
807Con questi prezzi, un A/B test di 20 creative smette di essere una decisione di budget. Il collo di bottiglia diventa l'apprendimento, non il budget.
808
809## Quando il branded vince ancora
810
811Campagne hero, OOH, brand film, lanci che definiscono categoria. Il branded studio è ancora lo strumento giusto quando l'obiettivo è la **brand equity**, non il click. Lo stack 2026 usa studio per l'hero, UGC tradizionale per i testimonial e AI UGC per il volume.`,faqs:[{q:"Il vantaggio di CTR è costante tra categorie?",a:"Più forte in DTC, beauty, fashion. Più contenuto in B2B e finance. Segue l'asse fiducia vs relatability."},{q:"L'UGC si stanca più in fretta del branded?",a:"Sì — un creative UGC su Meta si brucia più in fretta del branded. Per questo servono volume e AI UGC: ti servono molte più varianti in rotazione."},{q:"L'AI UGC può raggiungere la conversion dell'UGC tradizionale?",a:"Se costruito su creator reali licenziati, l'AI UGC ci va vicino. I volti puramente sintetici performano nettamente peggio, perché il segnale di fiducia è il creator reale."},{q:"Qual è il mix giusto per un brand DTC?",a:"Circa 70% AI UGC, 20% UGC tradizionale, 10% studio. Da regolare in base alla fiducia richiesta dalla categoria."}]},es:{title:"UGC vs contenido de marca: costes y conversión comparados",description:"En paid social el UGC suele superar al contenido de marca en click-through y conversión, con un coste por asset muy inferior. Así se comparan a lo largo del funnel.",body:`En paid social, el **UGC suele superar al contenido de marca en todo el funnel**: mayor click-through rate, mejor conversión y un coste por asset muy por debajo de un shooting. Aquí el desglose.
812
813## CTR y thumb-stop rate
814
815El UGC logra normalmente un **CTR más alto** en Meta Advantage+ que el creative de estudio, y un mejor thumb-stop rate (visualizaciones 3s %). La razón es el framing feed-native: 9:16 vertical, energía hecha a mano, sin lockup de logo en el primer frame.
816
817## Conversión y CPA
818

819Sobre las mismas audiencias y landings, el UGC tiende a generar **más conversión** y un **CPA más bajo** frente al estudio. La brecha se amplía en categorías de baja consideración (DTC apparel, beauty, suplementos) y se reduce en B2B y finance, donde las señales de confianza de los assets de marca aún cuentan.
820
821## Coste por asset
822
823- Shooting de estudio: un presupuesto de producción completo por asset terminado (model, location, crew, edición).
824- UGC tradicional: una fee por asset más producto, envío y licencia.
825- AI UGC en HeroShots: €4,90 el primer batch de 4 variantes de imagen de un proyecto, €1,90 cada batch adicional, €15 por un vídeo de hasta 15 segundos (sin IVA).
826
827Con estos precios, un A/B test de 20 creatives deja de ser una decisión de presupuesto. El cuello de botella se traslada del presupuesto a la velocidad de aprendizaje.
828
829## Cuándo gana el branded
830
831Campañas hero, OOH, brand films, lanzamientos que definen categoría. El branded studio sigue siendo la herramienta correcta cuando el objetivo es la **brand equity**, no el click. El stack 2026 usa estudio para hero, UGC tradicional para testimonios y AI UGC para el volumen.`,faqs:[{q:"¿La ventaja de CTR es consistente entre categorías?",a:"Más fuerte en DTC, beauty, fashion. Más moderada en B2B y finance. Sigue el eje confianza vs relatabilidad."},{q:"¿El UGC se quema más rápido que el branded?",a:"Sí — un creative UGC en Meta se agota antes que el branded. Por eso importan el volumen y el AI UGC: necesitas muchas más variantes en rotación."},{q:"¿El AI UGC puede igualar la conversión del UGC tradicional?",a:"Si se basa en creators reales licenciados, el AI UGC se acerca mucho. Las caras puramente sintéticas rinden claramente peor, porque la señal de confianza es el creator real."},{q:"¿Cuál es el mix correcto para una marca DTC?",a:"Aproximadamente 70% AI UGC, 20% UGC tradicional, 10% estudio. Ajustar según la confianza requerida por la categoría."}]},de:{title:"UGC vs. Branded Content: Kosten und Conversion im Vergleich",description:"Auf Paid Social schlägt UGC Branded Studio in der Regel bei Click-Through und Conversion — bei deutlich niedrigeren Kosten pro Asset. So vergleichen sich beide über den Funnel.",body:`Auf Paid Social **schlägt UGC Branded Studio in der Regel über den gesamten Funnel**: höhere Click-Through-Rate, bessere Conversion und Kosten pro Asset weit unter einem Studio-Shoot. Hier die Aufschlüsselung.
832
833## CTR und Thumb-Stop-Rate
834
835UGC erzielt auf Meta Advantage+ typischerweise eine **höhere CTR** als Studio-Creative und eine bessere Thumb-Stop-Rate (3-Sekunden-Views %). Grund: feed-natives Framing — 9:16 vertikal, Handheld-Energie, kein Logo-Lockup im ersten Frame.
836
837## Conversion und CPA
838
839Bei gleichen Zielgruppen und Landingpages erreicht UGC tendenziell eine **höhere Conversion** und einen **niedrigeren CPA** als Studio. Der Abstand vergrößert sich in Low-Consideration-Kategorien (DTC Apparel, Beauty, Supplements) und verringert sich in B2B und Finance, wo Trust-Signale polierter Markenassets weiterhin zählen.
840
841## Kosten pro Asset
842
843- Studio-Shoot: ein volles Produktionsbudget pro fertigem Asset (Model, Location, Crew, Schnitt).
844- Klassisches UGC: eine Fee pro Asset plus Produkt, Versand und Lizenz.
845- AI UGC auf HeroShots: €4,90 für den ersten Batch mit 4 Bildvarianten pro Projekt, €1,90 pro weiterem Batch, €15 für ein Video bis 15 Sekunden (zzgl. MwSt.).
846
847Zu diesen Preisen ist ein A/B-Test von 20 Creatives keine Budgetfrage mehr. Der Flaschenhals wandert von Budget zu Lern-Geschwindigkeit.
848
849## Wann Branded weiterhin gewinnt
850
851Hero-Kampagnen, OOH, Brand Films, kategoriedefinierende Launches. Branded Studio ist weiterhin das richtige Werkzeug, wenn es um **Brand Equity** geht, nicht um den Click. Der 2026-Stack nutzt Studio für Hero, klassisches UGC für Testimonials und AI UGC für das Volumen.`,faqs:[{q:"Ist der CTR-Vorteil über Kategorien konsistent?",a:"Am stärksten in DTC, Beauty, Fashion. Moderater in B2B und Finance. Folgt der Achse Vertrauen vs Relatability."},{q:"Verbraucht sich UGC schneller als Branded?",a:"Ja — ein UGC-Creative nutzt sich auf Meta schneller ab als ein Branded-Creative. Deshalb sind Volumen und AI UGC entscheidend: man braucht deutlich mehr Varianten in Rotation."},{q:"Kann AI UGC die Conversion von klassischem UGC erreichen?",a:"Auf Basis echter lizenzierter Creators kommt AI UGC nah heran. Rein synthetische Gesichter schneiden merklich schlechter ab, weil das Trust-Signal der echte Creator ist."},{q:"Was ist der richtige Mix für eine DTC-Marke?",a:"Etwa 70% AI UGC, 20% klassisches UGC, 10% Studio. Je nach Vertrauensbedarf der Kategorie anpassen."}]},fr:{title:"UGC vs branded content : coûts et conversion comparés",description:"En paid social, l'UGC bat généralement le branded studio sur le click-through et la conversion, pour un coût par asset bien plus bas. Voici la comparaison sur tout le funnel.",body:`En paid social, l'**UGC bat généralement le branded studio sur tout le funnel** : meilleur click-through rate, meilleure conversion et un coût par asset très inférieur à celui d'un shooting. Voici le détail.
852
853## CTR et thumb-stop rate
854
855L'UGC obtient typiquement un **meilleur CTR** sur Meta Advantage+ que le creative studio, ainsi qu'un meilleur thumb-stop rate (vues 3s %). Raison : framing feed-native — 9:16 vertical, énergie handheld, pas de lockup logo dans le premier frame.
856
857## Conversion et CPA
858
859Sur les mêmes audiences et landings, l'UGC tend à produire une **meilleure conversion** et un **CPA plus bas** que le studio. L'écart se creuse sur les catégories à faible considération (DTC apparel, beauty, suppléments) et se réduit en B2B et finance, où les signaux de confiance des assets de marque comptent encore.
860
861## Coût par asset
862
863- Shooting studio : un budget de production complet par asset fini (model, location, crew, montage).
864- UGC traditionnel : une fee par asset, plus produit, envoi et licence.
865- AI UGC sur HeroShots : €4,90 le premier batch de 4 variantes d'image d'un projet, €1,90 chaque batch suivant, €

86515 pour une vidéo jusqu'à 15 secondes (HT).
866
867À ces tarifs, un A/B test de 20 creatives cesse d'être une décision de budget. Le goulot passe du budget à la vitesse d'apprentissage.
868
869## Quand le branded gagne encore
870
871Campagnes hero, OOH, brand films, lancements qui définissent une catégorie. Le branded studio reste le bon outil quand l'objectif est la **brand equity**, pas le click. Le stack 2026 utilise studio pour l'hero, UGC traditionnel pour les témoignages et AI UGC pour le volume.`,faqs:[{q:"L'avantage de CTR est-il constant entre catégories ?",a:"Plus fort en DTC, beauty, fashion. Plus modéré en B2B et finance. Suit l'axe confiance vs relatabilité."},{q:"L'UGC s'use-t-il plus vite que le branded ?",a:"Oui — un creative UGC s'épuise plus vite sur Meta qu'un creative branded. D'où l'importance du volume et de l'AI UGC : il faut beaucoup plus de variantes en rotation."},{q:"L'AI UGC peut-il égaler la conversion de l'UGC traditionnel ?",a:"S'il est basé sur des créateurs réels licenciés, l'AI UGC s'en approche de près. Les visages purement synthétiques performent nettement moins bien, car le signal de confiance, c'est le créateur réel."},{q:"Quel est le bon mix pour une marque DTC ?",a:"Environ 70% AI UGC, 20% UGC traditionnel, 10% studio. À ajuster selon la confiance requise par la catégorie."}]}}},{slug:"how-ai-is-changing-ugc-production",date:"2026-06-03",author:"HeroShots",tags:["ai-ugc","production","workflow"],translations:{en:{title:"How AI Is Changing UGC Production in 2026",description:"AI compresses UGC production from weeks to minutes and cuts cost per asset, while licensed-creator platforms keep authenticity and royalties intact.",body:`AI is collapsing UGC production timelines from **weeks to minutes** and cutting the unit cost per finished asset **dramatically**. The shift is not "AI replaces creators" — it is "AI multiplies licensed creators". Here is what changed in the workflow.
872
873## The old workflow (2022–2024)
874
875Brief → casting → shipping → shoot → editing → licensing → delivery. Six steps, three weeks, four to six people in the loop. Every variant required a new shoot or a re-edit.
876
877## The 2026 workflow
878
879Upload product → pick a licensed Real Model → write a prompt → generate. One person, one minute, infinite variants. The creator gets a royalty on every output through Tik Joy; the brand gets a clean license and an audit trail.
880
881## What AI is actually good at now
882
883- **Photorealistic product-on-model imagery** with correct lighting and shadow.
884- **Short-form vertical video** (3–15 s) with believable motion.
885- **Localization**: same scene, 5 languages, different model selections.
886- **Background and outfit swaps** without re-shooting.
887
888## What AI is still bad at
889
890- Long-form spoken testimonials with natural voice and gesture.
891- Complex multi-product interactions (hands manipulating 3+ objects).
892- Brand-defining hero campaigns where every pixel matters.
893
894## The new bottleneck
895
896It used to be production. Now it is **learning velocity**: which creative wins, why, and how fast you can iterate. Brands that win in 2026 ship 50–200 variants a month and let the algorithm sort it out.`,faqs:[{q:"Does AI UGC require disclosure on Meta or TikTok?",a:"Only for fully synthetic or misleading content. Licensed-creator AI UGC with real likeness rights is treated like any other creative."},{q:"How long does a single generation take on HeroShots?",a:"Photos: 20–40 seconds. Short-form video: 60–120 seconds. Batch jobs (50+ variants) run in parallel and finish in 5–10 minutes."},{q:"Can I use my own model?",a:"Yes. You can upload your own creator (with their signed consent) as a Private Model. They earn royalties exactly like catalog creators."},{q:"Does it work for video?",a:"Yes — short-form 9:16 vertical video up to 15 seconds is production-ready in 2026. Longer formats are still hit-or-miss."}]},it:{title:"Come l'AI sta cambiando la produzione di UGC nel 2026",description:"L'AI comprime la produzione UGC da settimane a minuti e abbatte drasticamente il costo per asset, mentre le piattaforme con creator licenziati mantengono autenticità e royalty.",body:`L'AI sta comprimendo i tempi di produzione UGC da **settimane a minuti** e abbattendo **drasticamente** il costo unitario per asset finito. Il salto non è "l'AI sostituisce i creator" — è "l'AI moltiplica i creator licenziati". Ecco cosa è cambiato nel workflow.
897
898## Il vecchio workflow (2022–2024)
899
900Brief → casting → spedizione → shoot → montaggio → licenza → consegna. Sei step, tre settimane, quattro-sei persone nel loop. Ogni variante richiedeva un nuovo shoot o un re-edit.
901
902## Il workflow 2026
903
904Carica prodotto → scegli un Real Model licenziato → scrivi prompt → genera. Una persona, un minuto, varianti infinite. Il creator riceve una royalty su ogni output via Tik Joy; il brand ottiene una licenza pulita e un audit trail.
905
906## In cosa l'AI è davvero brava ora
907
908- **Immagini fotorealistiche prodotto-su-modello** con luci e ombre corrette.
909- **Video verticali short-form** (3–15 s) con movimento credibile.
910- **Localizzazione**: stessa scena, 5 lingue, selezione di model diversa.
911- **Cambio sfondo e outfit** senza rifare lo shoot.
912
913## In cosa l'AI è ancora debole
914

915- Testimonial parlati lunghi con voce e gestualità naturali.
916- Interazioni multi-prodotto complesse (mani che maneggiano 3+ oggetti).
917- Campagne hero che definiscono il brand, dove ogni pixel conta.
918
919## Il nuovo collo di bottiglia
920
921Prima era la produzione. Ora è la **velocità di apprendimento**: quale creative vince, perché, quanto in fretta puoi iterare. I brand che vincono nel 2026 pubblicano 50–200 varianti al mese e lasciano decidere l'algoritmo.`,faqs:[{q:"L'AI UGC richiede disclosure su Meta o TikTok?",a:"Solo per contenuti completamente sintetici o ingannevoli. L'AI UGC con creator licenziati e diritti d'immagine reali è trattato come qualsiasi altro creative."},{q:"Quanto dura una singola generazione su HeroShots?",a:"Foto: 20–40 secondi. Video short-form: 60–120 secondi. I batch (50+ varianti) vanno in parallelo e finiscono in 5–10 minuti."},{q:"Posso usare il mio model?",a:"Sì. Puoi caricare il tuo creator (con consenso firmato) come Private Model. Riceve royalty esattamente come i creator del catalogo."},{q:"Funziona per il video?",a:"Sì — video verticali 9:16 fino a 15 secondi sono production-ready nel 2026. Formati più lunghi sono ancora altalenanti."}]},es:{title:"Cómo la AI está cambiando la producción de UGC en 2026",description:"La AI comprime la producción de UGC de semanas a minutos y reduce drásticamente el coste por asset, mientras las plataformas con creators licenciados mantienen autenticidad y royalties.",body:`La AI está comprimiendo los tiempos de producción UGC de **semanas a minutos** y reduciendo **drásticamente** el coste unitario por asset terminado. El cambio no es "la AI sustituye a los creators" — es "la AI multiplica a los creators licenciados". Esto es lo que cambió en el workflow.
922
923## El workflow antiguo (2022–2024)
924
925Brief → casting → envío → shoot → edición → licencia → entrega. Seis pasos, tres semanas, cuatro a seis personas en el loop. Cada variante requería un nuevo shoot o re-edit.
926
927## El workflow 2026
928
929Sube producto → elige un Real Model licenciado → escribe prompt → genera. Una persona, un minuto, variantes infinitas. El creator recibe royalty en cada output vía Tik Joy; la marca obtiene una licencia limpia y un audit trail.
930
931## En qué la AI es realmente buena ahora
932
933- **Imágenes fotorrealistas producto-sobre-modelo** con luces y sombras correctas.
934- **Vídeo vertical short-form** (3–15 s) con movimiento creíble.
935- **Localización**: misma escena, 5 idiomas, selección de model distinta.
936- **Cambio de fondo y outfit** sin volver a grabar.
937
938## En qué la AI sigue floja
939
940- Testimonios hablados largos con voz y gestualidad naturales.
941- Interacciones multi-producto complejas (manos manipulando 3+ objetos).
942- Campañas hero que definen marca, donde cada píxel cuenta.
943
944## El nuevo cuello de botella
945
946Antes era la producción. Ahora es la **velocidad de aprendizaje**: qué creative gana, por qué, qué tan rápido puedes iterar. Las marcas que ganan en 2026 publican 50–200 variantes al mes y dejan que el algoritmo decida.`,faqs:[{q:"¿El AI UGC requiere disclosure en Meta o TikTok?",a:"Solo para contenido totalmente sintético o engañoso. El AI UGC con creators licenciados y derechos de imagen reales se trata como cualquier otro creative."},{q:"¿Cuánto dura una generación en HeroShots?",a:"Fotos: 20–40 segundos. Vídeo short-form: 60–120 segundos. Los batch (50+ variantes) van en paralelo y terminan en 5–10 minutos."},{q:"¿Puedo usar mi propio model?",a:"Sí. Puedes subir tu creator (con consentimiento firmado) como Private Model. Cobra royalties exactamente igual que los creators del catálogo."},{q:"¿Funciona para vídeo?",a:"Sí — vídeo vertical 9:16 hasta 15 segundos está production-ready en 2026. Formatos más largos siguen siendo irregulares."}]},de:{title:"Wie AI die UGC-Produktion 2026 verändert",description:"AI verkürzt die UGC-Produktion von Wochen auf Minuten und senkt die Kosten pro Asset drastisch, während Plattformen mit lizenzierten Creators Authentizität und Royalties bewahren.",body:`AI komprimiert die UGC-Produktionszeiten von **Wochen auf Minuten** und senkt die Stückkosten pro fertigem Asset **drastisch**. Der Wandel ist nicht "AI ersetzt Creators", sondern "AI multipliziert lizenzierte Creators". Was sich im Workflow geändert hat.
947
948## Der alte Workflow (2022–2024)
949
950Briefing → Casting → Versand → Shoot → Schnitt → Lizenzierung → Lieferung. Sechs Schritte, drei Wochen, vier bis sechs Personen im Loop. Jede Variante erforderte einen neuen Shoot oder Re-Edit.
951
952## Der 2026-Workflow
953
954Produkt hochladen → lizenziertes Real Model wählen → Prompt schreiben → generieren. Eine Person, eine Minute, unendliche Varianten. Der Creator erhält bei jedem Output über Tik Joy eine Royalty; die Marke bekommt eine saubere Lizenz und einen Audit-Trail.
955
956## Worin AI jetzt wirklich gut ist
957
958- **Fotorealistische Produkt-am-Model-Bilder** mit korrektem Licht und Schatten.

959- **Short-Form Vertikalvideo** (3–15 s) mit glaubhafter Bewegung.
960- **Lokalisierung**: gleiche Szene, 5 Sprachen, andere Model-Auswahl.
961- **Hintergrund- und Outfit-Tausch** ohne erneuten Shoot.
962
963## Worin AI noch schwach ist
964
965- Lange gesprochene Testimonials mit natürlicher Stimme und Gestik.
966- Komplexe Multi-Produkt-Interaktionen (Hände mit 3+ Objekten).
967- Markenprägende Hero-Kampagnen, bei denen jedes Pixel zählt.
968
969## Der neue Flaschenhals
970
971Früher war es die Produktion. Jetzt ist es die **Lern-Geschwindigkeit**: welches Creative gewinnt, warum, wie schnell kannst du iterieren. Marken, die 2026 gewinnen, liefern 50–200 Varianten pro Monat aus und lassen den Algorithmus entscheiden.`,faqs:[{q:"Erfordert AI UGC einen Disclosure auf Meta oder TikTok?",a:"Nur für vollsynthetische oder irreführende Inhalte. AI UGC mit lizenzierten Creators und echten Bildrechten wird wie jedes andere Creative behandelt."},{q:"Wie lange dauert eine Generierung auf HeroShots?",a:"Fotos: 20–40 Sekunden. Short-Form-Video: 60–120 Sekunden. Batch-Jobs (50+ Varianten) laufen parallel und sind in 5–10 Minuten fertig."},{q:"Kann ich mein eigenes Model nutzen?",a:"Ja. Du kannst deinen Creator (mit unterschriebener Einwilligung) als Private Model hochladen. Er erhält Royalties genau wie Katalog-Creators."},{q:"Funktioniert es für Video?",a:"Ja — 9:16 Vertikalvideos bis 15 Sekunden sind 2026 produktionsreif. Längere Formate sind noch unbeständig."}]},fr:{title:"Comment l'AI change la production d'UGC en 2026",description:"L'AI comprime la production d'UGC de semaines à minutes et réduit drastiquement le coût par asset, tandis que les plateformes à créateurs licenciés préservent authenticité et royalties.",body:`L'AI comprime les délais de production UGC de **semaines à minutes** et réduit **drastiquement** le coût unitaire par asset fini. Le shift n'est pas "l'AI remplace les créateurs", c'est "l'AI multiplie les créateurs licenciés". Voici ce qui a changé dans le workflow.
972
973## L'ancien workflow (2022–2024)
974
975Brief → casting → envoi → shoot → montage → licence → livraison. Six étapes, trois semaines, quatre à six personnes dans la boucle. Chaque variante nécessitait un nouveau shoot ou un re-edit.
976
977## Le workflow 2026
978
979Upload produit → choisir un Real Model licencié → écrire un prompt → générer. Une personne, une minute, variantes infinies. Le créateur reçoit une royalty sur chaque output via Tik Joy ; la marque obtient une licence propre et un audit trail.
980
981## Ce que l'AI fait vraiment bien aujourd'hui
982
983- **Images photoréalistes produit-sur-model** avec lumière et ombres correctes.
984- **Vidéo verticale short-form** (3–15 s) avec mouvement crédible.
985- **Localisation** : même scène, 5 langues, sélection de model différente.
986- **Changement de fond et de tenue** sans re-tourner.
987
988## Ce que l'AI fait encore mal
989
990- Témoignages parlés longs avec voix et gestes naturels.
991- Interactions multi-produits complexes (mains manipulant 3+ objets).
992- Campagnes hero qui définissent la marque, où chaque pixel compte.
993
994## Le nouveau goulot
995
996Avant, c'était la production. Maintenant, c'est la **vitesse d'apprentissage** : quel creative gagne, pourquoi, à quelle vitesse tu peux itérer. Les marques qui gagnent en 2026 livrent 50–200 variantes par mois et laissent l'algorithme décider.`,faqs:[{q:"L'AI UGC nécessite-t-il un disclosure sur Meta ou TikTok ?",a:"Uniquement pour le contenu entièrement synthétique ou trompeur. L'AI UGC avec créateurs licenciés et vrais droits à l'image est traité comme tout autre creative."},{q:"Combien de temps prend une génération sur HeroShots ?",a:"Photos : 20–40 secondes. Vidéo short-form : 60–120 secondes. Les batchs (50+ variantes) tournent en parallèle et finissent en 5–10 minutes."},{q:"Puis-je utiliser mon propre model ?",a:"Oui. Tu peux uploader ton créateur (avec consentement signé) comme Private Model. Il touche des royalties exactement comme les créateurs du catalogue."},{q:"Ça marche pour la vidéo ?",a:"Oui — la vidéo verticale 9:16 jusqu'à 15 secondes est production-ready en 2026. Les formats plus longs restent inégaux."}]}}},{slug:"ai-ugc-authenticity-trust-2026",date:"2026-06-03",updated:"2026-07-27",author:"HeroShots",tags:["authenticity","trust","ai-ugc"],translations:{en:{title:"Is AI UGC Still Authentic? What Actually Drives Trust, Disclosure and Consent in 2026",description:"AI UGC keeps its trust signal when a real, consenting creator stands behind it. Disclosure norms, EU AI Act transparency and practical honesty rules.",body:`Vie

996wers rarely trust or reject AI UGC because it is AI. They react to whether it feels honest: a real person who agreed to be there, a claim the product can actually keep, and a label that matches reality. Trust in AI-generated content comes from consent, disclosure and accuracy — not from hiding which tools you used.
997
998## What actually makes a viewer trust or reject AI content
999
1000Nobody scrolling a feed runs a forensic check. Trust is settled on impression rather than evidence, then revised later if something turns out to have been concealed.
1001
1002So there are two trust events, governed by different things. The first is **perceptual**: does this look and sound like a person in a real place? The second is **reputational**: when the audience finds out how this was made, does the brand look consistent or does it look caught?
1003
1004Most teams optimise the first and ignore the second. The second produces the screenshots.
1005
1006### The signals that build trust
1007
1008- **Specific, unglamorous environment.** A kitchen with a cluttered counter reads more real than a seamless studio void.
1009- **Ordinary imperfection.** Uneven light, a slightly off frame, texture in the skin rather than a rendered plastic surface.
1010- **Physical plausibility with the product.** Weight, grip, how the packaging bends, how liquid pours.
1011- **A claim the product can deliver.** Overreaching copy breaks trust faster than any visual artefact.
1012- **Consistency across the campaign.** A face that stays the same person from asset to asset. That is what [avatar consistency](/glossary/avatar-consistency) means in practice, and its absence is uncanny even when each frame looks fine alone.
1013
1014### The signals that break it
1015
1016- Eyes and mouth that don't quite belong to the same performance — a familiar tell in video.
1017- Warped fingers, melting jewellery, text on packaging that dissolves under a close-up.
1018- A "nowhere" room: no dust, no directional shadows, no evidence anyone lives there.
1019- The same face endorsing two competing brands in the same week.
1020- A brand that publicly promised "no AI" and was later shown to have used it.
1021
1022**The hardest trust breaker to recover from is not the pixels. It is the gap between what a brand said and what it did.** Artefacts get fixed with a better generation. A credibility gap does not.
1023
1024## Real licensed creator or fully synthetic face: why the distinction matters
1025
1026There is a meaningful difference between generating content from a real, consenting person's licensed likeness and inventing a face that belongs to nobody. Both are [synthetic media](/glossary/synthetic-media), but they carry different obligations and different risks.
1027
1028A [creator avatar](/glossary/creator-avatar) is anchored to an identifiable human being who agreed, in writing, to have their likeness used in defined ways. There is someone whose rights were cleared and who is compensated.
1029
1030A [virtual influencer](/glossary/virtual-influencer) is a fictional persona. That is not dishonest by default; audiences have accepted fictional brand characters for years. It becomes dishonest when the persona is presented as a real customer giving a genuine opinion.
1031
1032The failure mode most people fear — someone's face used in an ad they never agreed to — is a consent failure, not an AI failure. It sits under [right of publicity](/glossary/right-of-publicity) and would be a problem with a camera too.
1033
1034## Trust profile by content type
1035
1036| Content type | Who is depicted | Main trust risk to manage | What keeps it honest |
1037|---|---|---|---|
1038| Filmed creator UGC | A real, present person | Undisclosed paid relationship | Ad disclosure, clear [usage rights](/glossary/usage-rights) |
1039| AI UGC from a licensed creator avatar | A real, consenting person | Audience assumes it was filmed live | Documented consent, AI labelling where the content is realistic |
1040| Fully synthetic avatar or virtual influencer | Nobody real | Persona read as a genuine customer | Never framed as a real testimonial; visible AI framing |
1041| AI product photography with no person | No person | Product shown better than it is | Depiction matches the shipped product |
1042| Any likeness used without permission | A real, non-consenting person | Legal and reputational exposure | Don't. There is no compliant version of this |
1043
1044The pattern in that table is the argument of this article: risk does not track "AI or not AI". It tracks consent, and whether the audience is being led to believe something untrue.
1045

1046## Do you have to disclose that content is AI-generated?
1047
1048Assume yes for realistic content depicting people, and treat the exact mechanics as a pre-publish check rather than settled knowledge.
1049
1050### Platform expectations move — verify before each launch
1051
1052Major social and ad platforms have converged on a broad direction: creators and advertisers are asked to label realistic AI-generated or AI-modified content depicting real-seeming people, places or events, and platforms increasingly apply their own labels when they detect provenance signals. The details — formats, toggles, enforcement — change often and differ by platform and market.
1053
1054Treat platform policy as a checklist item you re-read at the start of each campaign, not a fact you memorised last year. The rule of thumb: **if a reasonable viewer could mistake the content for an unaltered recording of real events, label it.**
1055
1056### Where disclosure actually breaks down
1057
1058Few teams decide not to disclose. They lose the disclosure in the handoff:
1059
1060- **The export step.** A render or re-encode drops the provenance metadata attached at generation.
1061- **The ad account.** The organic post carries a label; the same file re-uploaded into an ads manager does not.
1062- **The repurpose.** A compliant launch asset gets cut down months later by someone who was never in the original conversation.
1063
1064### Advertising law has no AI exception
1065
1066Everything already true about advertising remains true. Testimonials must reflect genuine experience. Demonstrations must not misrepresent performance. Before-and-after imagery must be achievable. Paid relationships must be disclosed.
1067
1068Generating the asset loosens none of that. If anything it tightens the operational burden, because you can now produce variant after variant of a claim you never validated. That is where [brand safety](/glossary/brand-safety) work belongs: at the claim layer, before generation, not in a review of finished files.
1069
1070## What the EU AI Act signals about synthetic media
1071
1072The EU's AI regulation — [Regulation (EU) 2024/1689, 2024](https://eur-lex.europa.eu/eli/reg/2024/1689/oj) — sets out transparency obligations for AI-generated content: broadly, providers of generative systems should mark synthetic outputs in a machine-readable way, and deployers publishing realistic synthetic depictions of people, places or events should disclose that the content is artificially generated or manipulated. Obligations phase in on a staged timetable, and guidance is still developing.
1073
1074Read it as a direction of travel rather than a checklist. Two practical consequences hold regardless of how the fine print lands:
1075
1076**Provenance metadata is becoming infrastructure.** Content credentials — signed metadata describing how an asset was produced, of the kind standardised by [C2PA](https://c2pa.org) — plus visible or embedded [watermark](/glossary/watermark) signals are how marking gets implemented at scale.
1077
1078**Disclosure is cheaper than defence.** Teams that already label are not exposed by a policy change. Teams whose model depends on the audience not finding out are one enforcement update away from a rewrite.
1079
1080If you operate in the EU, get a lawyer to map your obligations. Nothing here is legal advice.
1081
1082## Consent, licensing and royalties: the paperwork behind honest AI UGC
1083
1084The ethical core is unglamorous and entirely documentary. [AI likeness consent](/glossary/ai-likeness-consent) has to be specific enough that the person understood they were agreeing to content they would never personally perform. Good consent records, at minimum:
1085
1086- **Scope**: which content types, which product categories, which channels.
1087- **Exclusions**: contexts the person refuses — political, adult, gambling, health claims, whatever they name.
1088- **Duration and territory**: when the permission ends and where it applies.
1089- **Derivative coverage**: explicitly that AI-generated outputs are included, not only captured footage. A standard [model release](/glossary/model-release) written for a photoshoot often does not cover this.
1090- **Compensation**: how [creator royalties](/glossary/creator-royalties) are calculated and paid when the likeness generates value.
1091- **Revocability**: what happens to live assets when someone withdraws.
1092
1093A [likeness licence](/glossary/likeness-licensing) turns that consent into enforceable terms. Treat it as an operational record, not a signature you file once: it should be retrievable per asset, so a question about one specific video has an answer. The trade-offs against booking people directly are laid out in [AI UGC vs hiring UGC creators](/compare/ai-ugc-vs-hiring-ugc-creators).
1094
1095## Eight rules for keeping AI UGC honest
1096
10971. **Never generate a real person's likeness without documented, specific consent.** No exceptions, no "it's just a test".
10982. **Label realistic synthetic content depicting people.** Default to disclosure; reserve the judgement call for cases where nothing is depicted as real.
10993. **Never stage a testimonial with someone who did not say it.** An avatar reading a scripted opinion is an advertisement, not a customer review.
11004. **Keep the product depiction truthful.** Colour, size, texture and behaviour must match what ships — this is where [AI product photography](/glossary/ai-product-photography) drifts.
11015. **Validate the claim before you scale the creative.** [Batch generation](/glossary/batch-generation) multiplies whatever you put in, including a claim you cannot substantiate.
11026. **Preserve provenance metadata end to end.** Do not let an export step strip content credentials.
11037. **Keep a human review gate on anything featuring a face.** Volume is not a reason to skip it; it is the reason you need it.
11048. **Say the same thing publicly and internally.** If your brand narrative is "all human", make it true or change it first.
1105
1106## How HeroShots is set up for this
1107
1108HeroShots pairs a product, a creator or AI avatar and a prompt to produce photo and video [AI UGC](/glossary/ai-ugc), with consent, likeness licensing and creator royalties built into the workflow rather than bolted on.
1109
1110Using a real catalog model applies a creator likeness fee of +25% on the base price, with a floor of €0.90 on images and €5 on videos — the visible line item for a real person's face being involved. AI avatars carry no likeness fee, because no real person's rights are engaged. A custom AI avatar is a €100 one-time setup; bringing your own model is a €300 one-time setup, and that is the route where your own consent paperwork has to be watertight.
1111
1112Images are billed per batch of four variants: €4.90 for a project's first batch and €1.90 for each further batch in the same project, with edits on a chosen image at €0.39, or €0.23 on HeroShots Pro. Video is €15 up to 15 seconds and €35 up to 30 seconds, with extra retries at €5 per 15-second block. Prices exclude VAT; the full breakdown lives on [pricing](/pricing).
1113
1114Disclosure mechanics sit in the plan structure. The free plan produces watermarked images — 10 per month, plus one video preview, no credit card — so nothing leaves unmarked by accident. HeroShots Pro at €99/month removes watermarks and gives direct downloads, along with cheaper edits, a 15% discount on videos and a priority queue. Once the watermark comes off, labelling your published output is a decision you own. See [product](/product) for how the pipeline fits together.
1115
1116## A better question than "is it authentic?"
1117
1118"Is AI UGC authentic" is unanswerable because authenticity was never a property of the capture method. A filmed testimonial from someone paid to read a script is less authentic than a generated one from a creator who uses the product and licensed their likeness knowingly.
1119
1120Ask these instead. Is the person real and did they consent, in writing, to this use? Are they being paid? Is the claim true? Would the audience feel deceived if they learned exactly how this was made?
1121
1122Four yeses and the trust holds. One no and you are not managing an AI problem — you are managing an honesty problem, and no model upgrade fixes that one.`,faqs:[{q:"Do consumers actually care whether a creative was AI-generated?",a:"The reliable driver is not the technology but whether anything was concealed. AI UGC that comes from a real, consenting creator and makes claims the product can keep tends to be judged on those merits. What damages trust is a brand that positioned itself as entirely human-made and was later shown to have used AI. The objection is to being misled, not to the tools."},{q:"Do I have to label AI-generated content on social platforms?",a:"Major platforms have converged on asking creators and advertisers to label realistic AI-generated or AI-modified content depicting people, places or events, and some apply automatic labels when they detect provenance signals. The specifics change often and differ by platform and market, so verify current policy before each campaign. A safe default: if a viewer could mistake it for an unaltered recording, label it."},{q:"What does the EU AI Act say about AI-generated content?",a:"Regulation (EU) 2024/1689 sets transparency obligations for synthetic media: broadly, providers of generative systems should mark AI outputs in machine-readable form, and those publishing realistic synthetic depictions of people or events should disclose that the content is artificially generated or manipulated. Obligations phase in on a staged timetable and guidance is still developing. Treat it as direction of travel and take local legal advice."},{q:"Is it legal to use a real creator's face in AI-generated ads?",a:"It is lawful when the person gave specific, documented consent covering AI-generated derivatives, not only originally captured footage, and when the use falls inside the agreed scope, territory and duration. Without that, you are exposed under right-of-publicity and image-rights law in most jurisdictions. A photoshoot-era model release usually does not cover synthetic outputs, so the paperwork needs updating."},{q:"What is the difference between an AI avatar and a virtual influencer?",a:"An AI avatar in a UGC context usually stands in for a specific consenting person whose likeness is licensed for defined uses. A virtual influencer is a wholly fictional persona with no real individual behind it. Both are synthetic media, but the avatar carries consent and royalty obligations, while the virtual influencer carries a disclosure obligation not to be read as a genuine customer."},{q:"Can AI UGC be used for customer testimonials?",a:"Not as a testimonial. Advertising rules require that testimonials reflect genuine customer experience, and a generated avatar reading a script does not. You can use AI UGC to dramatise a benefit, demonstrate a product or present brand messaging, provided it is framed as advertising rather than as an unsolicited customer opinion, and the underlying claim is substantiated."},{q:"How do watermarks and content credentials work together?",a:"A visible watermark tells a human the content is AI-generated. Invisible or forensic watermarks embed a signal designed to survive resizing and compression. Content credentials, such as the C2PA standard, attach cryptographically signed metadata describing how an asset was produced. They are complementary layers, and the practical failure is an export or upload step that silently strips the metadata."},{q:"What should AI likeness consent cover?",a:"Scope of permitted content types and channels; excluded contexts the person refuses, such as political, adult or gambling material; duration and territory; explicit coverage of AI-generated derivatives rather than only captured footage; how compensation and royalties are calculated; and what happens to live assets if consent is withdrawn. Consent that is granular, auditable and revocable is far more defensible than a one-time blanket sign-off."},{q:"Does using a real creator cost more than an AI avatar on HeroShots?",a:"Yes. A real catalog model adds a creator likeness fee of +25% on the base price, with a floor of €0.90 on images and €5 on videos. AI avatars add no likeness fee, since no real person's rights are engaged. Images are billed per batch of four variants at €4.90 for a project's first batch and €1.90 for each further batch in the same project. Prices exclude VAT."},{q:"How do I keep AI UGC brand-safe when generating at volume?",a:"Move the controls upstream. Validate claims before generation rather than reviewing finished files, restrict prompts to approved messaging, keep a human review gate on anything featuring a face, and check that product depictions match what actually ships. Volume multiplies whatever enters the pipeline, so one unchecked claim becomes an entire batch of non-compliant assets."}],metaTitle:"Is AI UGC Authentic? Trust, Consent, Rules"},it:{title:"L'AI UGC è ancora autentico? Cosa determina davvero la fiducia nel 2026",description:"L'AI UGC costruito su creator reali licenziati mantiene gran parte del segnale di fiducia dell'UGC tradizionale. I volti puramente sintetici ne perdono molto di più. La differenza è la licenza.",body:`L'AI UGC costruito su **creator reali licenziati** mantiene **gran parte del segnale di fiducia** dell'UGC tradizionale. I volti puramente sintetici — generati da zero senza una persona reale — ne perdono molto di più. La variabile che spiega il gap non è "AI vs umano" ma **licenza e diritti d'immagine**.
1123
1124## Perché l'AI UGC con creator reali mantiene la fiducia
1125
1126Gli spettatori non verificano davvero se un creative è stato girato o generato. Leggono **micro-segnali**: texture della pelle, frequenza dei blink, imperfezione ambientale, proporzioni del corpo. L'AI basata sul reference shoot di un creator reale eredita tutto questo. I modelli solo sintetici lo mancano in modi sottili che il cervello coglie.
1127
1128## Cosa erode la fiducia più in fretta
1129
1130- Occhi uncanny (il tell più comune nel video).
1131- Gioielli fluttuanti e dita deformate nei close-up.
1132- Stesso volto su brand concorrenti della stessa categoria.
1133- Uso nascosto di AI dopo che il brand si era impegnato pubblicamente al "100% umano".
1134
1135## Come HeroShots protegge il segnale di fiducia
1136
1137- Ogni Real Model è una persona reale, KYC-verificata, con consenso firmato.
1138- Royalty su ogni uso, tracciate via Tik Joy.
1139- Esclusioni di categoria per creator (può escludere gambling, adult, ecc.).
1140- Tag opzionale di disclosure nei metadati per i brand che vogliono essere espliciti.
1141
1142## La sintesi
1143
1144Il dibattito "l'AI UGC è autentico?" è mal posto. La domanda giusta è "questo creator è reale, consenziente e pagato?" Se sì, la matematica della fiducia regge. Se no, stai giocando col fuoco.`,faqs:[{q:"Ai consumatori importa se un creative è AI-generated?",a:"La maggior parte non lo riconosce in modo affidabile. Chi lo riconosce di solito non si lamenta se il model è una persona reale — si lamenta se il brand ha mentito."},{q:"I brand devono fare disclosure dell'AI UGC?",a:"La disclosure di contenuti completamente sintetici è richiesta da Meta/TikTok. Per l'AI UGC con creator reali è opzionale ma è una pratica trasparente. HeroShots supporta un tag opzionale nei metadati."},{q:"L'AI UGC influisce sui brand lift study?",a:"L'AI UGC con creator reali si avvicina molto all'UGC tradizionale su brand lift e ad recall. Il solo sintetico resta nettamente indietro."},{q:"Lo stesso creator AI può apparire per brand concorrenti?",a:"Su HeroShots i creator possono impostare esclusività per categoria. Un creator che lavora con un brand cosmetico può bloccare altri brand cosmetici dall'usare la sua immagine."}]},es:{title:"¿El AI UGC sigue siendo auténtico? Qué determina de verdad la confianza en 2026",description:"El AI UGC basado en creators reales licenciados mantiene la mayor parte de la señal de confianza del UGC tradicional. Las caras puramente sint

1144éticas pierden mucha más. La diferencia es la licencia.",body:`El AI UGC basado en **creators reales licenciados** mantiene **la mayor parte de la señal de confianza** del UGC tradicional. Las caras puramente sintéticas — generadas desde cero sin una persona real detrás — pierden mucha más. La variable que explica la brecha no es "AI vs humano" sino **licencia y derechos de imagen**.
1145
1146## Por qué el AI UGC con creators reales conserva la confianza
1147
1148Los espectadores no verifican realmente si un creative fue grabado o generado. Leen **micro-señales**: textura de piel, frecuencia de parpadeo, imperfección ambiental, proporción corporal. La AI basada en el reference shoot de un creator real hereda todo eso. Los modelos puramente sintéticos lo fallan de formas sutiles que el cerebro detecta.
1149
1150## Qué erosiona la confianza más rápido
1151
1152- Ojos uncanny (el tell más habitual en vídeo).
1153- Joyas flotantes y dedos deformados en primeros planos.
1154- Misma cara en marcas competidoras de la misma categoría.
1155- Uso oculto de AI después de que la marca se comprometió públicamente al "100% humano".
1156
1157## Cómo HeroShots protege la señal de confianza
1158
1159- Cada Real Model es una persona real, KYC-verificada, con consentimiento firmado.
1160- Royalties en cada uso, trackeadas vía Tik Joy.
1161- Exclusiones de categoría por creator (puede excluir gambling, adult, etc.).
1162- Tag opcional de disclosure en los metadatos para marcas que quieran ser explícitas.
1163
1164## El resumen
1165
1166El debate "¿el AI UGC es auténtico?" está mal planteado. La pregunta correcta es "¿este creator es real, consintió y cobra?" Si sí, las matemáticas de la confianza funcionan. Si no, juegas con fuego.`,faqs:[{q:"¿A los consumidores les importa si un creative es AI-generated?",a:"La mayoría no lo reconoce de forma fiable. Quien lo reconoce no suele quejarse si el model es una persona real — se queja si la marca mintió."},{q:"¿Las marcas deben hacer disclosure del AI UGC?",a:"El disclosure de contenido totalmente sintético lo exigen Meta/TikTok. Para AI UGC con creators reales es opcional pero es práctica transparente. HeroShots soporta un tag opcional en metadatos."},{q:"¿El AI UGC afecta los estudios de brand lift?",a:"El AI UGC con creators reales se acerca mucho al UGC tradicional en brand lift y ad recall. El puramente sintético queda claramente por detrás."},{q:"¿El mismo creator AI puede aparecer en marcas competidoras?",a:"En HeroShots los creators pueden fijar exclusividad por categoría. Un creator que trabaja con una marca cosmética puede bloquear a otras marcas cosméticas para usar su imagen."}]}

1166,de:{title:"Ist AI UGC noch authentisch? Was 2026 wirklich über Vertrauen entscheidet",description:"AI UGC auf Basis echter lizenzierter Creators behält den Großteil des Vertrauenssignals klassischen UGCs. Rein synthetische Gesichter verlieren deutlich mehr davon. Der Unterschied: Lizenzierung.",body:`AI UGC auf Basis **echter lizenzierter Creators** behält **den Großteil des Vertrauenssignals** klassischen UGCs. Rein synthetische Gesichter — von Grund auf ohne echte Person erzeugt — verlieren deutlich mehr davon. Die Variable, die diesen Gap erklärt, ist nicht "AI vs Mensch", sondern **Lizenzierung und Bildrechte**.
1167
1168## Warum Real-Creator-AI-UGC Vertrauen behält
1169
1170Zuschauer prüfen nicht wirklich, ob ein Creative gedreht oder generiert wurde. Sie lesen **Mikrosignale**: Hauttextur, Blinzelrate, Umgebungsfehler, Körperproportionen. AI auf Basis des Reference-Shoots eines echten Creators erbt all das. Rein synthetische Modelle verfehlen es auf subtile Weise, die das Gehirn registriert.
1171
1172## Was Vertrauen am schnellsten erodiert
1173
1174- Uncanny-Augen (das häufigste Tell im Video).
1175- Schwebender Schmuck und verzerrte Finger in Close-Ups.
1176- Dasselbe Gesicht bei konkurrierenden Marken derselben Kategorie.
1177- Versteckter AI-Einsatz, nachdem eine Marke öffentlich "100% menschlich" versprochen hat.
1178
1179## Wie HeroShots das Vertrauenssignal schützt
1180
1181- Jedes Real Model ist eine echte, KYC-verifizierte Person mit unterschriebener Einwilligung.
1182- Royalties bei jeder Nutzung, getrackt über Tik Joy.
1183- Kategorie-Ausschlüsse pro Creator (Gambling, Adult etc. abwählbar).
1184- Optionaler Disclosure-Tag im Metadata für Marken, die explizit sein wollen.
1185
1186## Das Fazit
1187
1188Die Debatte "Ist AI UGC authentisch?" ist falsch gestellt. Die richtige Frage ist "Ist dieser Creator echt, einwilligend, bezahlt?" Wenn ja, geht die Vertrauensrechnung auf. Wenn nein, spielst du mit dem Feuer.`,faqs:[{q:"Interessiert es Konsumenten, ob ein Creative AI-generiert ist?",a:"Die meisten erkennen es nicht zuverlässig. Wer es erkennt, stört sich meist nicht daran, wenn das Model eine echte Person ist — sondern daran, wenn die Marke gelogen hat."},{q:"Sollten Marken AI UGC offenlegen?",a:"Offenlegung vollsynthetischer Inhalte ist von Meta/TikTok gefordert. Für Real-Creator-AI-UGC ist sie optional, aber transparente Praxis. HeroShots unterstützt einen optionalen Metadata-Tag."},{q:"Beeinflusst AI UGC Brand-Lift-Studien?",a:"Real-Creator-AI-UGC liegt bei Brand-Lift und Ad-Recall nah am klassischen UGC. Rein Synthetisches fällt deutlich zurück."},{q:"Kann derselbe AI-Creator für konkurrierende Marken auftreten?",a:"Auf HeroShots können Creators kategoriespezifische Exklusivität festlegen. Wer mit einer Kosmetikmarke arbeitet, kann andere Kosmetikmarken blockieren."}]},fr:{title:"L'AI UGC est-il encore authentique ? Ce qui détermine vraiment la confiance en 2026",description:"L'AI UGC basé sur de vrais créateurs licenciés conserve l'essentiel du signal de confiance de l'UGC traditionnel. Les visages purement synthétiques en perdent bien davantage. La différence : la licence.",body:`L'AI UGC basé sur de **vrais créateurs licenciés** conserve **l'essentiel du signal de confiance** de l'UGC traditionnel. Les visages purement synthétiques — générés de zéro sans personne réelle derrière — en perdent bien davantage. La variable qui explique l'écart n'est pas "AI vs humain" mais **licence et droits à l'image**.
1189
1190## Pourquoi l'AI UGC avec vrais créateurs garde la confiance
1191
1192Les spectateurs ne vérifient pas vraiment si un creative a été filmé ou généré. Ils lisent des **micro-signaux** : texture de peau, taux de clignement, imperfection environnementale, proportion du corps. L'AI basée sur le reference shoot d'un vrai créateur en hérite. Les modèles purement synthétiques les ratent de manière subtile que le cerveau capte.
1193
1194## Ce qui érode la confiance le plus vite
1195
1196- Yeux uncanny (le tell le plus fréquent en vidéo).
1197- Bijoux flottants et doigts déformés en gros plan.
1198- Même visage chez des marques concurrentes de la même catégorie.

1199- Usage caché d'AI après qu'une marque s'est publiquement engagée au "100% humain".
1200
1201## Comment HeroShots protège le signal de confiance
1202
1203- Chaque Real Model est une vraie personne KYC-vérifiée avec consentement signé.
1204- Royalties sur chaque usage, trackées via Tik Joy.
1205- Exclusions de catégorie par créateur (peut exclure gambling, adult, etc.).
1206- Tag de disclosure optionnel dans les metadata pour les marques qui veulent être explicites.
1207
1208## La synthèse
1209
1210Le débat "l'AI UGC est-il authentique ?" est mal posé. La bonne question est "ce créateur est-il réel, consentant, payé ?" Si oui, le calcul de la confiance tient. Sinon, tu joues avec le feu.`,faqs:[{q:"Les consommateurs s'en soucient-ils si un creative est AI-generated ?",a:"La plupart ne le détectent pas de façon fiable. Ceux qui le détectent ne s'en plaignent généralement pas si le model est une vraie personne — ils s'en plaignent si la marque a menti."},{q:"Les marques doivent-elles disclore l'AI UGC ?",a:"Le disclosure du contenu entièrement synthétique est exigé par Meta/TikTok. Pour l'AI UGC avec vrais créateurs c'est optionnel mais c'est une pratique transparente. HeroShots supporte un tag optionnel dans les metadata."},{q:"L'AI UGC affecte-t-il les études de brand lift ?",a:"L'AI UGC avec vrais créateurs se rapproche fortement de l'UGC traditionnel sur brand lift et ad recall. Le purement synthétique reste nettement en retrait."},{q:"Le même créateur AI peut-il apparaître pour des marques concurrentes ?",a:"Sur HeroShots les créateurs peuvent fixer une exclusivité par catégorie. Un créateur travaillant avec une marque cosmétique peut bloquer d'autres marques cosmétiques."}]}}},{slug:"ai-ugc-vs-influencer-marketing-cost-roi",date:"2026-06-03",updated:"2026-07-27",author:"HeroShots",tags:["ugc","influencer","roi"],translations:{en:{title:"AI UGC vs Influencer Marketing: What You Are Actually Buying, and How to Model the ROI",description:"An influencer sells access to an audience; AI UGC sells production capacity. Compare budget structure, rights, risk and how to model your own ROI.",body:`AI UGC and influencer marketing buy two different things. An influencer sells access to an audience and an implied endorsement, priced per placement and negotiated per deal. AI UGC sells production capacity: on HeroShots the first batch of 4 image variants in a project costs €4.90, each further batch €1.90, and video starts at €15 for up to 15 seconds (excl. VAT). Most teams need both.
1211
1212## What are you actually buying: audience or production capacity?
1213
1214An influencer deal bundles several things into one invoice: reach into an audience that already exists, an implied endorsement from someone that audience trusts, the creative labour, and sometimes the right to reuse the asset elsewhere. Unbundle it and the value sits mostly in the first two. You are renting attention and borrowed credibility; the content is the vehicle.
1215
1216[AI UGC](/glossary/ai-ugc) buys the production layer only, and buys it as a utility. You supply a product, pick a [creator avatar](/glossary/creator-avatar) or an [AI avatar](/glossary/ai-avatar), write a prompt, and get photo and video content in the UGC style. Nobody is watching when it lands in your library; distribution is a separate decision and a separate budget line.
1217
1218There is a clean test to run before signing anything. If this content performed brilliantly but nobody outside your own ad account ever saw it, would the deal still have been worth it? If yes, you are buying production, and should price it against production alternatives — the comparison in [AI UGC vs hiring UGC creators](/compare/ai-ugc-vs-hiring-ugc-creators). If no, you are buying an audience, and no amount of cheap generation substitutes for it.
1219
1220## How does the budget structure differ?
1221
1222Influencer spend is lumpy and negotiated. Every deal is bespoke and there is no rate card, because the drivers are relational rather than mechanical: audience size and engagement quality, the category, exclusivity windows, how many deliverables are in scope, whether usage extends past an organic post on the creator's own channel, whether whitelisting is included, and how fast you need it. Change any one of those and the quote moves. Two brands can pay very different amounts to the same creator in the same month for entirely legitimate reasons.
1223

1224AI UGC spend behaves more like infrastructure. It is metered, published in advance, and scales in small increments rather than deal-sized jumps. Instead of committing a quarter's budget to a handful of partnerships, you commit a monthly floor to generation and let volume follow what your testing tells you.
1225
1226| What you are comparing | Influencer marketing | AI UGC |
1227| --- | --- | --- |
1228| Primary thing purchased | Audience access and implied endorsement | Production capacity |
1229| Pricing model | Negotiated per deal or placement | Published and metered, per batch or per video |
1230| Main cost drivers | Audience, category, exclusivity, deliverables, usage window, turnaround | Number of batches, video length, whether a real catalog model is used, plan |
1231| Lead time | Days to weeks, plus scheduling and revisions | Minutes per generation, plus briefing and review |
1232| Who controls the creative | The creator, working inside your brief | The brand, through prompts and edits |
1233| Distribution included | Yes — their audience | No — paid or owned media is a separate budget |
1234| Rights by default | Organic use on the creator's channel; paid usage and extensions are negotiated | Consent, licensing and royalties defined in the platform before you generate |
1235| Natural unit of measure | Cost per placement | Cost per usable asset |
1236| How it scales | Book more people | Run more batches |
1237| Main failure mode | One person's schedule and reputation | Sameness and weak briefs |
1238
1239## What does AI UGC cost, and how is it billed?
1240
1241HeroShots bills images per **batch of 4 variants**, not per image. The first batch in a project is €4.90, and each further batch in that same project is €1.90. An edit on a chosen image is €0.39, or €0.23 with HeroShots Pro. Video is €15 for up to 15 seconds and €35 for up to 30 seconds, with extra retries at €5 per 15-second block. All prices exclude VAT.
1242
1243Two modifiers matter for planning. First, using a real model from the catalog adds a creator likeness fee of +25% on the base price, with a floor of €0.90 on images and €5 on videos — this funds [creator royalties](/glossary/creator-royalties). AI avatars add no fee. A custom AI avatar setup is €100 one-time; bringing your own model is €300 one-time. Second, teams buying video in volume can pre-pay: Starter €350 (€70 per video), Growth €650 (€65 per video), Scale €1,500 (€60 per video). HeroShots Pro at €99 per month removes watermarks, enables direct downloads, cuts 15% off videos, lowers edit prices and adds a priority queue.
1244
1245Model your own week rather than copying someone else's total. The shape of the calculation is: the first batch at €4.90, plus however many further batches at €1.90 each, plus the likeness fee if you pick a real catalog model, plus €0.39 (or €0.23 on Pro) for each edit on an image you intend to run. Video sits on its own line at €15 or €35 depending on length. The [pricing page](/pricing) is the source of truth, and a free plan — 10 watermarked images a month, one video preview, no credit card — lets you sanity-check the output on your own product before committing anything.
1246
1247## Who owns the content, and who owns the face?
1248
1249This is where the two models diverge most sharply, and where cost comparisons usually go wrong.
1250
1251With an influencer, you typically start with organic use on their channel. Everything beyond that — paid amplification, whitelisting to your ad account, longer terms, additional territories, use on your product pages — is a separately negotiated clause, and it is priced. Teams that forget to scope [usage rights](/glossary/usage-rights) discover the gap when a post performs and they cannot legally put media behind it: the worst possible moment to reopen a negotiation.
1252
1253With AI UGC built on real people, the rights architecture is decided before generation rather than after. [Likeness licensing](/glossary/likeness-licensing) and documented consent define what may be produced and where it may run, and creator royalties are part of the published pricing rather than a separate negotiation. That does not make rights free — it makes them predictable, moving the question from "can we clear this?" to "what did we license?". Behind both models sits the same legal principle, the [right of publicity](/glossary/right-of-publicity): a person's control over the commercial use of their identity. Fully invented personas sidestep it entirely, which is precisely why a [virtual influencer](/glossary/virtual-influencer) is a different product with a different trust profile.
1254
1255## Where does the risk sit in each model?
1256
1257Influencer risk is concentrated. One partnership is one person's schedule, judgement and reputation. Content can arrive late, off-br

1257ief, or in the middle of an unrelated controversy. Disclosure compliance is theirs to execute and yours to be liable for.
1258
1259AI UGC risk is diffuse but real. The failure mode is sameness — a library of assets that all read as the same generic angle because the briefs were thin. It shifts effort to [brand safety](/glossary/brand-safety) review, because volume without a review gate is just faster mistakes. And it comes with no audience attached, so a bad media plan will hide a good creative library indefinitely.
1260
1261Both share one risk: measurement. If you cannot tell which creative or placement moved the number, the next budget decision gets made on vibes.
1262
1263## How do you model ROI without borrowed benchmarks?
1264
1265Ignore any published multiplier claiming AI UGC returns some fixed factor more than influencer spend. Those figures travel well and mean nothing, because they average across categories, price points and media plans that look nothing like yours. Build the model from your own data instead.
1266
12671. **Name the job.** Decide whether this budget is buying awareness in a community or creative for a testing engine. One buy cannot be judged on the other's metric.
12682. **Fix the unit.** Cost per placement for influencer spend, cost per usable asset for AI UGC. Never compare a per-post price to a per-asset price.
12693. **Count usable, not generated.** Divide your AI UGC spend by the assets that survive review, not by everything the model produced. Counting generations instead of survivors is where AI UGC math most often flatters itself.
12704. **Add the media line.** AI UGC has no audience. Whatever you would have spent to distribute it belongs on that side of the ledger before you compare.
12715. **Hold the plan constant.** Change one variable at a time — same audiences, same budget, same window — or you are measuring seasonality.
12726. **Use a full attribution window.** Influencer effects often show up outside a click-based window; performance creative usually shows up inside one. A mismatched window flatters one side by construction.
12737. **Recompute quarterly.** Rates, platform behaviour and your own baseline all move. A model built once is wrong later.
1274
1275## How do brands combine influencer marketing and AI UGC?
1276
1277The strongest pattern treats them as stages of the same loop rather than rival line items. A small number of influencer partnerships each quarter generate awareness, earned proof and — crucially — evidence about which claims and hooks land with real people. Those winning angles become prompt briefs. [Performance creative](/glossary/performance-creative) production then runs continuously on AI UGC, using [batch generation](/glossary/batch-generation) to test variations of the angles that already showed signal, across every SKU and market, without booking anything.
1278
1279Where contracts allow, the loop closes: a top-performing variant can be whitelisted to run from the creator's handle, with explicit permission and disclosure agreed in advance. A [talent agency](/glossary/talent-agency) managing a roster's AI rights can sit on both sides of that arrangement — negotiating the human campaigns, and licensing the likeness that keeps producing between them.
1280
1281## When should you spend on an influencer instead of more variants?
1282
1283Spend on a person when the endorsement *is* the message: entering a category where you have no credibility, launching into a tight community, long-form storytelling that needs a voice, or a considered purchase where a real user's experience carries the argument. Spend on a person when your problem is that nobody has heard of you.
1284
1285Spend on production capacity when you already know what to say and cannot say it often enough: many SKUs, many markets, always-on retargeting, or a testing cadence your shoot schedule cannot feed. If you have more winning angles than budget to run them, production is not your bottleneck — buy media. If you have budget running against three tired creatives, production is exactly your bottleneck, and [AI product photography](/solutions/ai-product-photography) plus UGC-style video is the fastest way to unblock it.
1286
1287## What do people get wrong when comparing the two?
1288
1289Four mistakes come up again and again. Comparing incompatible units. Forgetting that AI UGC needs a media budget while influencer spend already includes distribution. Assuming AI UGC has no human cost — briefing, prompting, reviewing and rights checks are real work that scales with volume. And treating rights as an afterthought on the influencer side, then being surprised when an extension has to be quoted from scratch. Get those four right and the comparison stops being a price fight and becomes a question about which constraint is holding your marketing back.`,faqs:[{q:"Can AI UGC replace influencer marketing?",a:"No, because they sell different things. AI UGC replaces the production layer — the shooting, the scheduling, the reshoots — but it does not come with an audie

1289nce or a trusted voice attached. If your bottleneck is not having enough creative to test, AI UGC solves it directly. If your bottleneck is that nobody in a community has heard of you, an influencer partnership does something AI UGC structurally cannot."},{q:"Which is cheaper per acquired customer, AI UGC or influencers?",a:"There is no universal answer, and any published multiplier claiming one should be treated with suspicion. The honest method is to hold your media plan constant, run both, and compare blended cost per acquisition over a full attribution window. AI UGC lowers the cost of producing test creative; an influencer can lower acquisition cost inside their own audience. Which effect dominates depends on your category, price point and stage."},{q:"How much does AI UGC cost on HeroShots?",a:"Images are billed per batch of four variants, not per image: the first batch in a project costs €4.90 and each further batch in the same project €1.90. An edit on a chosen image is €0.39, or €0.23 with HeroShots Pro. Video is €15 for up to 15 seconds and €35 for up to 30 seconds, with extra retries at €5 per 15-second block. Prices exclude VAT."},{q:"What does the creator likeness fee add?",a:"When a generation uses a real model from the HeroShots catalog, a creator likeness fee of +25% is added to the base price, with a floor of €0.90 on images and €5 on videos. AI avatars add no fee. A custom AI avatar setup is €100 one-time, and bringing your own model is €300 one-time. Prices exclude VAT. This fee is what funds creator royalties."},{q:"Do I get usage rights with AI UGC?",a:"On HeroShots, consent, likeness licensing and creator royalties are built into the product rather than negotiated deal by deal, so the rights governing a generation are defined before you press generate. That differs structurally from an influencer agreement, where anything beyond organic posting on the creator's own channel — paid amplification, whitelisting, longer terms, extra territories — is typically a separately negotiated and separately priced clause."},{q:"Can I run AI UGC on an influencer's handle?",a:"Only with explicit contractual permission from the creator and disclosure that follows each platform's current rules. Running content from someone else's handle attaches their identity to a claim they may not personally have made, so the right to do it belongs in the influencer contract from the first draft — alongside how AI-assisted assets may be used, for how long, and who approves each one before it runs."},{q:"How does AI UGC fit with a talent agency?",a:"A talent agency represents creators, negotiates their deals and manages their likeness rights. An AI UGC platform is relevant to that work because it turns a likeness into something licensed for repeat use rather than booked shoot by shoot. On HeroShots, consent, likeness licensing and creator royalties are built into the product, so a roster's AI rights are defined in the same place the content is generated — alongside human campaigns rather than instead of them."},{q:"How do I compare an influencer quote to AI UGC spend fairly?",a:"Convert both to the same unit before comparing anything. For an influencer, the unit is cost per placement including the usage rights you actually need, not the headline fee. For AI UGC, the unit is cost per usable asset — total spend divided by the assets that survive review, not the number generated. Then add a media budget to the AI UGC side, because it has no audience attached."},{q:"Do I have to disclose AI UGC?",a:"Assume yes for realistic AI-generated content, and check the current policy of every platform you publish on, because these rules change. Disclosure requirements generally focus on realistic synthetic depictions of people and on anything that could mislead viewers. Content built on a real, consenting creator's licensed likeness still depicts a real person, so treat labelling as a brand-safety decision rather than a legal minimum to work around."},{q:"What if I have no budget to test AI UGC at all?",a:"The HeroShots free plan includes 10 watermarked images per month and one video preview with no credit card, which is enough to judge whether the output suits your product and category before spending anything. HeroShots Pro at €99 per month then removes watermarks, enables direct downloads, cuts 15% off video prices, lowers edit prices and adds a priority queue. Prices exclude VAT."}],metaTitle:"AI UGC vs Influencer Marketing: Cost & ROI"},it:{title:"AI UGC vs Influencer Marketing: costi e ROI a confronto (2026)",description:"L'AI UGC produce un creative in circa un minuto, da €4,90 per un batch di 4 immagini o €15 per un video fino a 15 secondi (IVA esclusa); un post influencer si negozia per singolo posizionamento e richiede giorni o settimane. A parità di budget di test, l'AI UGC genera molti più creative testati — ma l'influencer vince ancora sull'awareness top-of-funnel in community di nicchia.",body:`AI UGC e influencer marketing non sono lo stesso acquisto. **L'AI UGC parte da €4,90 per un batch di 4 varianti immagine — €15 per un video fino a 15 secondi, prezzi IVA esclusa — e si consegna in minuti**, ottimizzato per volume di test su paid social. **L'influencer si paga a post e arriva in giorni o settimane**, ottimizzato per fiducia di community e reach in una nicchia. A parità di euro 

1289speso in testing, l'AI UGC produce molte più varianti. A parità di euro speso in awareness in una community stretta, l'influencer vince ancora.
1290
1291## Quando vince l'AI UGC
1292
1293- Creative di performance a scala (20+ varianti/settimana).
1294- Asset localizzati per 5+ mercati.
1295- Retargeting always-on e DPA.
1296- Brand di catalogo con 50+ SKU.
1297
1298## Quando vince l'influencer marketing
1299
1300- Lancio in una community dove l'endorsement di un creator = fiducia istantanea.
1301- Storytelling long-form (YouTube, podcast).
1302- Revenue affiliate con prodotto ad alto LTV.
1303
1304## Il playbook blended del 2026
1305
13061. **2–4 drop hero con influencer/trimestre** per awareness e contenuto earned.
13072. **AI UGC** come motore di testing su paid e always-on.
13083. **Whitelisting della miglior variante AI UGC** come dark post sull'handle dell'influencer (dove il contratto lo permette).
1309
1310La logica: spostare una parte del budget influencer su varianti AI UGC ti compra in genere più creative testato a parità di spesa — e un CAC migliore.`,faqs:[{q:"L'AI UGC può sostituire del tutto gli influencer?",a:"No. L'AI UGC sostituisce il layer di produzione dell'UGC, non la fiducia di community che porta un influencer. Quasi tutti i brand nel 2026 usano entrambi."},{q:"Cosa costa meno per cliente acquisito?",a:"Di solito il mix. L'AI UGC vince sul CPM; l'influencer vince sul conversion rate dentro il suo pubblico. Insieme tendono a far scendere il CAC."},{q:"Le agenzie influencer usano l'AI UGC?",a:"Sì — le Talent Agency su HeroShots gestiscono i diritti AI dei loro talent e prendono royalty su ogni uso brand, spesso finanziando le campagne umane."},{q:"È permesso fare whitelisting di AI UGC sull'handle di un influencer?",a:"Solo con autorizzazione contrattuale esplicita e disclosure di piattaforma. Mettilo nel contratto dal giorno uno."}]},es:{title:"AI UGC vs Influencer Marketing: coste y ROI comparados (2026)",description:"El AI UGC produce un creative en cerca de un minuto, desde €4,90 por un batch de 4 imágenes o €15 por un vídeo de hasta 15 segundos (sin IVA); un post de influencer se negocia por colocación y tarda días o semanas. A igualdad de presupuesto de test, el AI UGC genera muchos más creatives testeados — pero el influencer sigue ganando en awareness top-of-funnel en comunidades de nicho.",body:`AI UGC e influencer marketing no son la misma compra. **El AI UGC arranca en €4,90 por un batch de 4 variantes de imagen — €15 por un vídeo de hasta 15 segundos, precios sin IVA — y se entrega en minutos**, optimizado para volumen de testing en paid social. **El influencer se paga por post y llega en días o semanas**, optimizado para confianza de comunidad y reach en un nicho. Por euro gastado en testing, el AI UGC produce muchas más variantes. Por euro gastado en awareness en una comunidad cerrada, el influencer sigue ganando.
1311
1312## Cuándo gana el AI UGC
1313
1314- Creative de performance a escala (20+ variantes/semana).
1315- Assets localizados para 5+ mercados.
1316- Retargeting always-on y DPA.
1317- Brands de catálogo con 50+ SKUs.
1318
1319## Cuándo gana el influencer marketing
1320
1321- Lanzamiento en una comunidad donde el endorsement de un creator = confianza instantánea.
1322- Storytelling long-form (YouTube, podcasts).
1323- Revenue de afiliación con producto de alto LTV.
1324
1325## El playbook mixto de 2026
1326
13271. **2–4 drops hero con influencers/trimestre** para awareness y contenido earned.
13282. **AI UGC** como motor de testing en paid y always-on.
13293. **Whitelisting de la mejor variante AI UGC** como dark post en el handle del influencer (donde el contrato lo permita).
1330
1331La lógica: mover parte del presupuesto de influencer a variantes de AI UGC suele comprarte más creative testeado por el mismo gasto — y un CAC mejor.`,faqs:[{q:"¿Puede el AI UGC reemplazar totalmente a los influencers?",a:"No. El AI UGC reemplaza la capa de producción del UGC, no la confianza de comunidad que aporta un influencer. La mayoría de brands en 2026 usan ambos."},{q:"¿Qué cuesta menos por cliente captado?",a:"Normalmente la mezcla. El AI UGC gana en CPM; el influencer gana en tasa de conversión dentro de su audiencia. Juntos tienden a bajar el CAC."},{q:"¿Las agencias de influencers usan AI UGC?",a:"Sí — las Talent Agency en HeroShots gestionan los derechos AI de sus talents y cobran royalties por cada uso de brand, financiando a menudo las campañas humanas."},{q:"¿Se permite el whitelisting de AI UGC en el handle de un influencer?",a:"Solo con autorización contractual explícita y disclosure de plataforma. Métalo en el contrato desde el día uno."}]},de:{title:"AI UGC vs Influencer Marketing: Kosten und ROI im Vergleich (2026)",description:"AI UGC produziert ein Creative in etwa einer Minute, ab €4,90 für einen Batch mit 4 Bildern oder €15 für ein Video bis 15 Sekunden (zzgl. MwSt.); ein Influencer-Post wird pro Platzierung verhandelt und braucht Tage bis Wochen. Pro Euro Testbudget liefert AI UGC deutlich mehr getestete Creatives — Influencer gewinnen aber weiter beim Top-Funnel-Awareness in Nischen-Communities.",body:`AI UGC und Influencer Marketing sind nicht derselbe Einkauf. **AI UGC startet bei €4,90 für einen Batch mit 4 Bildvarianten — €15 für ein Video bis 15 Sekunden, Preise zzgl. MwSt. — und ist in Minuten geliefert**, optimiert auf Test-Volumen im Paid Social. **Influencer werden pro Post bezahlt und brauchen Tage bis Wochen**, optimiert auf Community-Vertrauen und Reach in einer Nische. Pro Euro Testing produziert AI UGC deutlich mehr Varianten. Pro Euro Awareness in einer engen Community gewinnt der Influencer weiter.
1332
1333## Wann AI UGC gewinnt
1334
1335- Performance-Creative im Scale (20+ Varianten/Woche).
1336- Lokalisierte Assets für 5+ Märkte.
1337- Always-on Retargeting und DPA.
1338- Katalog-Brands mit 50+ SKUs.
1339
1340## Wann Influencer Marketing gewinnt
1341
1342- Launch in einer Community, in der ein Creator-Endorsement = sofortiges Vertrauen.
1343- Long-Form Storytelling (YouTube, Podcasts).
1344- Affiliate-Revenue mit High-LTV-Produkt.
1345

1346## Das Blended-Playbook 2026
1347
13481. **2–4 Hero-Influencer-Drops/Quartal** für Awareness und Earned Content.
13492. **AI UGC** als Test-Motor im Paid und Always-on.
13503. **Whitelisting der besten AI-UGC-Variante** als Dark Post auf dem Influencer-Handle (wo der Vertrag es erlaubt).
1351
1352Die Logik: einen Teil des reinen Influencer-Budgets in AI-UGC-Varianten zu verschieben, kauft dir bei gleichem Spend meist mehr getestetes Creative — und einen besseren CAC.`,faqs:[{q:"Kann AI UGC Influencer komplett ersetzen?",a:"Nein. AI UGC ersetzt die Produktionsschicht des UGC, nicht das Community-Vertrauen eines Influencers. Die meisten Brands 2026 nutzen beides."},{q:"Was ist günstiger pro gewonnenem Kunden?",a:"Meist der Mix. AI UGC gewinnt beim CPM; Influencer gewinnen bei der Conversion-Rate in ihrer Audience. Zusammen drücken sie den CAC."},{q:"Nutzen Influencer-Agenturen AI UGC?",a:"Ja — Talent Agencies auf HeroShots verwalten die AI-Rechte ihres Rosters und verdienen Royalties auf jede Brand-Nutzung, was oft die menschlichen Kampagnen finanziert."},{q:"Ist Whitelisting von AI UGC auf einem Influencer-Handle erlaubt?",a:"Nur mit expliziter vertraglicher Freigabe und Plattform-Disclosure. Direkt in den Influencer-Vertrag vom Tag eins."}]},fr:{title:"AI UGC vs Influencer Marketing : coût et ROI comparés (2026)",description:"L'AI UGC produit un creative en une minute environ, à partir de €4,90 pour un batch de 4 images ou €15 pour une vidéo jusqu'à 15 secondes (HT) ; un post influencer se négocie par placement et prend des jours ou des semaines. À budget de test égal, l'AI UGC génère beaucoup plus de creatives testés — mais l'influencer gagne encore sur l'awareness top-of-funnel dans les communautés de niche.",body:`AI UGC et influencer marketing ne sont pas le même achat. **L'AI UGC démarre à €4,90 pour un batch de 4 variantes d'image — €15 pour une vidéo jusqu'à 15 secondes, prix HT — et se livre en minutes**, optimisé pour le volume de tests sur paid social. **L'influencer se paie au post et arrive en jours ou en semaines**, optimisé pour la confiance de communauté et le reach dans une niche. Par euro dépensé en testing, l'AI UGC produit beaucoup plus de variantes. Par euro dépensé en awareness dans une communauté étroite, l'influencer gagne encore.
1353
1354## Quand l'AI UGC gagne
1355
1356- Creative de performance à l'échelle (20+ variantes/semaine).
1357- Assets localisés pour 5+ marchés.
1358- Retargeting always-on et DPA.
1359- Brands catalogue avec 50+ SKUs.
1360
1361## Quand l'influencer marketing gagne
1362
1363- Lancement dans une communauté où l'endorsement d'un créateur = confiance instantanée.
1364- Storytelling long-form (YouTube, podcasts).
1365- Revenue d'affiliation avec produit haut LTV.
1366
1367## Le playbook mixte de 2026
1368
13691. **2–4 drops hero d'influencers/trimestre** pour awareness et contenu earned.
13702. **AI UGC** comme moteur de tests sur paid et always-on.
13713. **Whitelisting de la meilleure variante AI UGC** en dark post sur le handle de l'influencer (quand le contrat l'autorise).
1372
1373La logique : basculer une partie d'un budget purement influencer vers des variantes AI UGC t'achète généralement plus de creative testé à dépense égale — et un meilleur CAC.`,faqs:[{q:"L'AI UGC peut-il remplacer totalement les influencers ?",a:"Non. L'AI UGC remplace la couche de production de l'UGC, pas la confiance de communauté qu'apporte un influencer. La plupart des brands en 2026 utilisent les deux."},{q:"Qu'est-ce qui coûte le moins par client acquis ?",a:"Le mix, en général. L'AI UGC gagne sur le CPM ; l'influencer gagne sur le taux de conversion dans son audience. Ensemble, ils tirent le CAC vers le bas."},{q:"Les agences d'influencers utilisent-elles l'AI UGC ?",a:"Oui — les Talent Agency sur HeroShots gèrent les droits AI de leur roster et touchent des royalties à chaque usage brand, finançant souvent les campagnes humaines."},{q:"Le whitelisting d'AI UGC sur le handle d'un influencer est-il autorisé ?",a:"Uniquement avec autorisation contractuelle explicite et disclosure de plateforme. À mettre dans le contrat dès le jour un."}]}}},{slug:"how-to-start-with-ai-ugc-brand-guide",date:"2026-06-03",author:"HeroShots",tags:["ugc","how-to","brands"],translations:{en:{title:"How to Start with AI UGC: A 5-Step Guide for Brands (2026)",metaTitle:"How to Start with AI UGC: A 5-Step Guide",description:"Ship your first AI UGC campaign in under 48 hours: one hero SKU, ten variants in two ratios, a small paid test, then kill losers and scale the winner.",body:`**You can ship your first AI UGC campaign in under 48 hours and €200 of media.** Pick one hero SKU, generate 10 variants across 2 aspect ratios, split-test on Meta and TikTok, kill losers at day 3, scale the winner. Below is the exact 5-step playbook brands use on HeroShots.
1374
1375## Step 1 — Pick the right product (15 min)
1376
1377Choose 1 SKU with: clear visual benefit, existing organic demand, margin ≥ 40%. Skip hero launches and complex products for the first test.
1378
1379## Step 2 — Brief the creative (30 min)
1380
1381Pick 2–3 Real Models matching your ICP. Pick 2 scenes (e.g. kitchen morning, outdoor afternoon). Pick 2 ratios (9:16 + 1:1). That's 12 cells; generate 1–2 variants per cell.
1382
1383## Step 3 — Generate and approve (60 min)
1384
1385Generate 10–20 assets on HeroShots (€4.90 for the first batch of 4 variants, €1.90 per further batch in the same project, excl. VAT). Approve those that pass three checks: (1) face/hands clean, (2) product accurate, 

1385(3) scene believable.
1386
1387## Step 4 — Test (48h, €200 media budget)
1388
1389Push 5 ads to Meta and 5 to TikTok, €20/day each, broad targeting. Single KPI: cost per outbound click or cost per add-to-cart.
1390
1391## Step 5 — Kill, scale, iterate (day 3+)
1392
1393Kill bottom 60%. Scale top 20% to €100/day. Regenerate winners with hook/CTA variants. Restart the loop weekly.`,faqs:[{q:"Do I need a creative agency to start?",a:"No. The HeroShots wizard handles model selection, scene and brief. A solo marketer ships the first test in an afternoon."},{q:"What's a healthy first-test CPM?",a:"It depends on market, placement and season — use your own account's historical CPM as the baseline. A CPM well above your usual range normally means the creative isn't native enough."},{q:"How many variants before I know a winner?",a:"10 variants on €200 of media give you early signal on cost per click. Conversion-level signal needs considerably more spend per variant."},{q:"Can I reuse Real Models across campaigns?",a:"Yes. Royalties accrue per generation, and most brands settle on 3–5 favourite creators they re-use across campaigns."}]},it:{title:"Come iniziare con l'AI UGC: guida in 5 step per i brand (2026)",description:"Puoi mandare in onda la prima campagna AI UGC in meno di 48 ore: scegli 1 SKU hero, genera 10 varianti in 2 rapporti, fai un test da €200 su Meta + TikTok, killa i perdenti al giorno 3, scala il vincitore. Ecco il playbook esatto.",body:`**Puoi mandare in onda la prima campagna AI UGC in meno di 48 ore con €200 di media.** Scegli un SKU hero, genera 10 varianti su 2 rapporti, split test su Meta e TikTok, killa i perdenti al giorno 3, scala il vincitore. Sotto il playbook esatto in 5 step che i brand usano su HeroShots.
1394
1395## Step 1 — Scegli il prodotto giusto (15 min)
1396
1397Scegli 1 SKU con: beneficio visivo chiaro, domanda organica esistente, margine ≥ 40%. Salta i lanci hero e i prodotti complessi per il primo test.
1398
1399## Step 2 — Briefa il creative (30 min)
1400
1401Scegli 2–3 Real Model in linea con la tua ICP. Scegli 2 scene (es. cucina mattina, outdoor pomeriggio). Scegli 2 rapporti (9:16 + 1:1). Sono 12 celle; genera 1–2 varianti a cella.
1402
1403## Step 3 — Genera e approva (60 min)
1404
1405Genera 10–20 asset su HeroShots (€4,90 il primo batch di 4 varianti, €1,90 ogni batch successivo nello stesso progetto, IVA esclusa). Approva quelli che passano tre check: (1) volto/mani pulite, (2) prodotto fedele, (3) scena credibile.
1406
1407## Step 4 — Testa (48h, €200 di media budget)
1408
1409Pubblica 5 ad su Meta e 5 su TikTok, €20/giorno ciascuno, targeting broad. KPI singolo: costo per click outbound o costo per add-to-cart.
1410
1411## Step 5 — Killa, scala, itera (giorno 3+)
1412
1413Killa il 60% peggiore. Scala il 20% top a €100/giorno. Rigenera i vincenti con varianti di hook/CTA. Riavvia il loop ogni settimana.`,faqs:[{q:"Mi serve un'agenzia creativa per partire?",a:"No. Il wizard HeroShots gestisce scelta del model, scena e brief. Un marketer solo manda in onda il primo test in un pomeriggio."},{q:"Qual è un CPM sano al primo test?",a:"Dipende da mercato, placement e stagione — usa come baseline lo storico CPM del tuo account. Un CPM molto sopra il tuo range abituale di solito vuol dire che il creative non è abbastanza nativo."},{q:"Quante varianti prima di sapere chi vince?",a:"10 varianti su €200 di media danno un primo segnale sul costo per click. Per le conversioni serve una spesa per variante decisamente maggiore."},{q:"Posso riusare i Real Model su più campagne?",a:"Sì. Le royalty maturano per generazione, e la maggior parte dei brand si fissa su 3–5 creator preferiti che riusa su più campagne."}]},es:{title:"Cómo empezar con AI UGC: guía en 5 pasos para brands (2026)",description:"Puedes lanzar tu primera campaña AI UGC en menos de 48 horas: elige 1 SKU hero, genera 10 variantes en 2 ratios, haz un test de €200 en Meta + TikTok, mata a los perdedores al día 3, escala al ganador. Aquí el playbook exacto.",body:`**Puedes lanzar tu primera campaña AI UGC en menos de 48 horas con €200 de media.** Elige un SKU hero, genera 10 variantes en 2 ratios, split test en Meta y TikTok, mata a los perdedores al día 3, escala al ganador. Abajo el playbook exacto en 5 pasos que los brands usan en HeroShots.
1414
1415## Paso 1 — Elige el producto correcto (15 min)
1416
1417Elige 1 SKU con: beneficio visual claro, demanda orgánica existente, margen ≥ 40%. Sáltate los lanzamientos hero y productos complejos para el primer test.
1418
1419## Paso 2 — Brief del creative (30 min)
1420
1421Elige 2–3 Real Models alineados con tu ICP. Elige 2 escenas (p. ej. cocina mañana, outdoor tarde). Elige 2 ratios (9:16 + 1:1). Son 12 celdas; genera 1–2 variantes por celda.
1422
1423## Paso 3 — Genera y aprueba (60 min)
1424
1425Genera 10–20 assets en HeroShots (€4,90 el primer batch de 4 variantes, €1,90 cada batch adicional del mismo proyecto, sin IVA). Aprueba los que pasan tres checks: (1) cara/manos limpias, (2) producto fiel, (3) escena creíble.
1426
1427## Paso 4 — Testa (48h, €200 de media budget)
1428
1429Publica 5 ads en Meta y 5 en TikTok, €20/día cada uno, targeting broad. KPI único: coste por click outbound o coste por add-to-cart.
1430
1431## Paso 5 — Mata, escala, itera (día 3+)
1432
1433Mata el 60% inferior. Escala el 20% top a €100/día. Regenera ganadores con variantes de hook/CTA. Reinicia el loop cada semana.`,faqs:[{q:"¿Necesito una agencia creativa para empezar?",a:"No. El wizard de HeroShots maneja selección de modelo, escena y brief. Un marketer solo lanza el primer test en una tarde."},{q:"¿Qué CPM es sano en el primer test?",a:"Depende del mercado, el placement y la temporada — usa como baseline el histórico de CPM de tu propia cuenta. Un CPM muy por encima de tu rango habitual suele significar que el creative no es lo bastante nativo."},{q:"¿Cuántas variantes para saber el ganador?",a:"10 variantes con €200 de media dan una primera señal en coste por click. Para conversiones necesitas bastante más gasto por variante."},{q:"¿Puedo reusar Real Models en varias campañas?",a:"Sí. Las royalties se acumulan por generación, y la mayoría de brands se fija con 3–5 creators favoritos que reusa en campañas."}]},de:{title:"Wie startest du mit AI UGC: 5-Schritt-Guide für Brands (2026)",description:"Du kannst deine erste AI-UGC-Kampagne in unter 48 Stunden launchen: 1 Hero-SKU wählen, 10 Varianten in 2 Ratios generieren, einen €200-Test auf Meta + TikTok fahren, Verlierer an Tag 3 killen, Gewinner skalieren. Hier das exakte Playbook.",body:`**Du kannst deine erste AI-UGC-Kampagne in unter 48 Stunden mit €200 Mediabudget launchen.** Wähle eine Hero-SKU, generiere 10 Varianten in 2 Ratios, Split-Test auf Meta und TikTok, Verlierer an Tag 3 killen, Gewinner skalieren. Unten das exakte 5-Schritt-Playbook, das Brands auf HeroShots nutzen.
1434
1435## Schritt 1 — Das richtige Produkt wählen (15 Min)
1436
1437Wähle 1 SKU mit: klarem visuellem Benefit, vorhandener organischer Nachfrage, Marge ≥ 40%. Hero-Launches und komplexe Produkte beim ersten Test überspringen.
1438
1439## Schritt 2 — Creative briefen (30 Min)
1440
1441Wähle 2–3 Real Models passend zur ICP. Wähle 2 Szenen (z. B. Küche morgens, Outdoor nachmittags). Wähle 2 Ratios (9:16 + 1:1). Das sind 12 Zellen; 1–2 Varianten pro Zelle generieren.
1442
1443## Schritt 3 — Generieren und freigeben (60 Min)
1444
144510–20 Assets auf HeroShots generieren (€4,90 für den ersten Batch mit 4 Varianten, €1,90 pro weiterem Batch im selben Projekt, zzgl. MwSt.). Freigeben, was drei Checks besteht: (1) Gesicht/Hände sauber, (2) Produkt korrekt, (3) Szene glaubhaft.
1446
1447## Schritt 4 — Testen (48h, €200 Media-Budget)
1448
14495 Ads auf Meta und 5 auf TikTok pushen, je €20/Tag, Broad-Targeting. Einziger KPI: Cost per Outbound Click oder Cost per Add-to-Cart.
1450
1451## Schritt 5 — Killen, skalieren, iterieren (ab Tag 3)
1452
1453Untere 60% killen. Top 20% auf €100/Tag skalieren. Gewinner mit Hook-/CTA-Varianten regenerieren. Loop wöchentlich neu starten.`,faqs:[{q:"Brauche ich eine Kreativagentur zum Start?",a:"Nein. Der HeroShots-Wizard übernimmt Model-Auswahl, Szene und Brief. Ein Solo-Marketer launcht den ersten Test in einem Nachmittag."},{q:"Was ist ein gesunder erster CPM?",a:"Das hängt von Markt, Placement und Saison ab — nimm den historischen CPM deines eigenen Accounts als Baseline. Ein CPM weit über deiner üblichen Spanne heißt meist, das Creative ist nicht nativ genug."},{q:"Wie viele Varianten bis zum Sieger?",a:"10 Varianten auf €200 Media geben ein erstes Signal auf Cost per Click. Für Conversions brauchst du deutlich mehr Spend pro Variante."},{q:"Kann ich Real Models über mehrere Kampagnen wiederverwenden?",a:"Ja. Royalties laufen pro Generierung auf, und die meisten Brands setzen auf 3–5 Lieblings-Creators, die sie über Kampagnen wiederverwenden."}]},fr:{title:"Comment démarrer en AI UGC : guide 5 étapes pour brands (2026)",description:"Tu peux lancer ta première campagne AI UGC en moins de 48 heures : choisis 1 SKU hero, génère 10 variantes en 2 ratios, fais un test de €200 sur Meta + TikTok, kille les perdants au jour 3, scale le gagnant. Voici le playbook exact.",body:`**Tu peux lancer ta première campagne AI UGC en moins de 48 heures avec €200 de media.** Choisis un SKU hero, génère 10 variantes en 2 ratios, split test sur Meta et TikTok, kille les perdants au jour 3, scale le gagnant. Ci-dessous le playbook exact en 5 étapes que les brands utilisent sur HeroShots.
1454
1455## Étape 1 — Choisir le bon produit (15 min)
1456
1457Choisis 1 SKU avec : bénéfice visuel clair, demande organique existante, marge ≥ 40%. Saute les hero launches et les produits complexes pour le premier test.
1458
1459## Étape 2 — Brief du creative (30 min)
1460
1461Choisis 2–3 Real Models alignés à ton ICP. Choisis 2 scènes (ex. cuisine matin, outdoor après-midi). Choisis 2 ratios (9:16 + 1:1). Soit 12 cellules ; génère 1–2 variantes par cellule.
1462
1463## Étape 3 — Générer et approuver (60 min)
1464
1465Génère 10–20 assets sur HeroShots (€4,90 le premier batch de 4 variantes, €1,90 chaque batch suivant dans le même projet, HT). Approuve ceux qui passent trois checks : (1) visage/mains propres, (2) produit fidèle, (3) scène crédible.
1466
1467## Étape 4 — Tester (48h, €200 de budget média)
1468
1469Pousse 5 ads sur Meta et 5 sur TikTok, €20/jour chacun, ciblage broad. KPI unique : coût par click outbound ou coût par add-to-cart.
1470
1471## Étape 5 — Killer, scaler, itérer (jour 3+)
1472
1473Kille les 60% du bas. Scale le top 20% à €100/jour. Régénère les gagnants avec des variantes de hook/CTA. Relance le loop chaque semaine.`,faqs:[{q:"Ai-je besoin d'une agence créative pour démarrer ?",a:"Non. Le wizard HeroShots gère sélection du modèle, scène et brief. Un marketer solo lance le premier test en un après-midi."},{q:"Quel CPM sain au premier test ?",a:"Cela dépend du marché, du placement et de la saison — prends l'historique de CPM de ton propre compte comme référence. Un CPM très au-dessus de ta fourchette habituelle signifie généralement que le creative n'est pas assez natif."},{q:"Combien de variantes avant de connaître le gagnant ?",a:"10 variantes sur €200 de media donnent un premier signal sur le coût par click. Pour les conversions, il faut nettement plus de dépense par variante."},{q:"Puis-je réutiliser des Real Models sur plusieurs campagnes ?",a:"Oui. Les royalties s'accumulent par génération, et la plupart des brands s'arrêtent sur 3–5 créateurs favoris qu'ils réutilisent."}]}}},{slug:"ugc-trends-2026",date:"2026-06-03",author:"HeroShots",tags:["ugc","trends","202

14736"],translations:{en:{title:"7 UGC Trends Shaping Brand Content in 2026",description:"In 2026 UGC is hybridising with AI, paying creators royalties per use and shifting from sourcing to generation. The seven trends brands should track.",body:`**UGC in 2026 is no longer a sourcing problem; it's a generation problem.** Brands no longer ask "how do we find creators" but "how do we license, generate and rotate creator content at the pace of paid social". Here are the 7 trends defining the year.
1474
1475## 1. AI UGC with real licensed creators
1476
1477Pure synthetic faces are losing trust; AI UGC built on KYC-verified Real Models is the new default.
1478
1479## 2. Per-use royalties via instant payouts
1480
1481Tik Joy-style payouts settle royalties to creators in days, not quarters.
1482
1483## 3. Always-on creative refresh
1484
1485Top brands now rotate in new creatives every week, made viable only by AI UGC economics.
1486
1487## 4. Talent Agencies pivoting to AI rights
1488
1489Talent Agencies on HeroShots now manage the AI rights of their roster as a recurring revenue line.
1490
1491## 5. Localisation as a default
1492
1493Generating 5 language variants of every winner is now standard, not premium.
1494
1495## 6. Category exclusivity contracts
1496
1497Creators can block competing brands in their category — a new IP layer on top of likeness rights.
1498
1499## 7. Disclosure becoming a trust feature
1500
1501Optional AI metadata tags are starting to act as a trust signal rather than a liability.`,faqs:[{q:"Is fully synthetic UGC dying?",a:"It's plateauing for performance use cases — trust scores sit clearly below UGC with real licensed creators. It will keep a niche in concept and stylised content."},{q:"What's the biggest cost shift?",a:"From a full production budget per UGC video to platform pricing that starts at €4.90 for a batch of 4 image variants and €15 for a video up to 15 seconds (excl. VAT). The bottleneck moves from production to learning velocity."},{q:"Are influencer agencies threatened?",a:"Only those that don't pivot. Agencies that license their roster's AI rights add a recurring royalty line on top of campaign fees."},{q:"Will platforms force AI disclosure?",a:"Meta and TikTok already require it for fully synthetic content. Expect more granular labels in 2026–2027."}]},it:{title:"7 trend UGC che stanno cambiando i contenuti brand nel 2026",description:"Nel 2026 l'UGC si ibrida con l'AI, paga royalty per uso ai creator e si sposta dallo sourcing alla generazione. Ecco i 7 trend che ogni brand e agenzia deve tracciare quest'anno.",body:`**Nel 2026 l'UGC non è più un problema di 

1501sourcing; è un problema di generazione.** I brand non chiedono più "come troviamo creator" ma "come licenziamo, generiamo e ruotiamo contenuto creator al ritmo del paid social". Ecco i 7 trend che definiscono l'anno.
1502
1503## 1. AI UGC con creator reali licenziati
1504
1505I volti puramente sintetici stanno perdendo fiducia; l'AI UGC costruito su Real Model KYC-verificati è il nuovo default.
1506
1507## 2. Royalty per uso con payout istantanei
1508
1509Payout in stile Tik Joy regolano le royalty ai creator in giorni, non trimestri.
1510
1511## 3. Refresh creativo always-on
1512
1513I top brand oggi ruotano nuovi creative ogni settimana, possibile solo grazie all'economia dell'AI UGC.
1514
1515## 4. Talent Agency in pivot sui diritti AI
1516
1517Le Talent Agency su HeroShots gestiscono i diritti AI del proprio roster come linea di ricavi ricorrenti.
1518
1519## 5. Localizzazione di default
1520
1521Generare 5 varianti linguistiche di ogni vincitore è oggi standard, non premium.
1522
1523## 6. Contratti di esclusività di categoria
1524
1525I creator possono bloccare brand competitor nella loro categoria — un nuovo layer di IP sopra i diritti di immagine.
1526
1527## 7. La disclosure diventa una feature di fiducia
1528
1529I tag opzionali di metadata AI iniziano a funzionare come segnale di fiducia, non come liability.`,faqs:[{q:"L'UGC puramente sintetico sta morendo?",a:"Sta arrivando a un plateau sui casi performance — i punteggi di fiducia restano nettamente sotto l'UGC con creator reali licenziati. Resterà una nicchia su concept e stilizzato."},{q:"Qual è lo shift di costo più grande?",a:"Da un budget di produzione pieno per video UGC a un prezzo di piattaforma che parte da €4,90 per un batch di 4 varianti immagine e €15 per un video fino a 15 secondi (IVA esclusa). Il collo di bottiglia si sposta dalla produzione alla velocità di apprendimento."},{q:"Le agenzie influencer sono a rischio?",a:"Solo quelle che non fanno pivot. Le agenzie che licenziano i diritti AI del roster aggiungono una linea di royalty ricorrente sopra alle fee campagna."},{q:"Le piattaforme imporranno la disclosure AI?",a:"Meta e TikTok la richiedono già per contenuto totalmente sintetico. Aspettarsi label più granulari nel 2026–2027."}]},es:{title:"7 tendencias UGC que están cambiando el contenido de brand en 2026",description:"En 2026 el UGC se hibrida con AI, paga royalties por uso a los creators y pasa de sourcing a generación. Estas son las 7 tendencias que toda brand y agencia debe trackear este año.",body:`**En 2026 el UGC ya no es un problema de sourcing; es un problema de generación.** Los brands ya no preguntan "cómo encontramos creators" sino "cómo licenciamos, generamos y rotamos contenido de creator al ritmo del paid social". Estas son las 7 tendencias que definen el año.
1530
1531## 1. AI UGC con creators reales licenciados
1532
1533Los rostros puramente sintéticos pierden confianza; el AI UGC sobre Real Models KYC-verificados es el nuevo default.
1534
1535## 2. Royalties por uso con payouts instantáneos
1536
1537Payouts tipo Tik Joy liquidan royalties a creators en días, no trimestres.
1538
1539## 3. Refresh creativo always-on
1540
1541Los top brands rotan nuevos creatives cada semana, viable solo gracias a la economía del AI UGC.
1542
1543## 4. Talent Agencies pivotando a derechos AI
1544
1545Las Talent Agency en HeroShots gestionan los derechos AI de su roster como una línea de ingresos recurrente.
1546
1547## 5. Localización por defecto
1548
1549Generar 5 variantes lingüísticas de cada ganador es ya estándar, no premium.
1550
1551## 6. Contratos de exclusividad por categoría
1552
1553Los creators pueden bloquear brands competidoras en su categoría — una nueva capa de IP sobre los derechos de imagen.
1554
1555## 7. La disclosure como feature de confianza
1556
1557Las etiquetas opcionales de metadata AI empiezan a funcionar como señal de confianza, no como liability.`,faqs:[{q:"¿Está muriendo el UGC puramente sintético?",a:"Se estanca en casos de performance — los scores de confianza quedan claramente por debajo del UGC con creators reales licenciados. Mantendrá un nicho en concept y estilizado."},{q:"¿Cuál es el mayor cambio de coste?",a:"De un presupuesto de producción completo por vídeo UGC a un precio de plataforma que arranca en €4,90 por un batch de 4 variantes de imagen y €15 por un vídeo de hasta 15 segundos (sin IVA). El cuello de botella pasa de la producción a la velocidad de aprendizaje."},{q:"¿Están amenazadas las agencias de influencers?",a:"Solo las que no pivotan. Las agencias que licencian los derechos AI de su roster añaden una línea de royalties recurrente sobre las fees de campaña."},{q:"¿Las plataformas forzarán la disclosure AI?",a:"Meta y TikTok ya la exigen para contenido totalmente sint

1557ético. Esperar etiquetas más granulares en 2026–2027."}]},de:{title:"7 UGC-Trends, die Brand Content 2026 prägen",description:"2026 hybridisiert sich UGC mit AI, zahlt Creators Royalties pro Nutzung und verlagert sich vom Sourcing zur Generierung. Hier sind die 7 Trends, die jede Brand und Agentur dieses Jahr tracken muss.",body:`**UGC ist 2026 kein Sourcing-Problem mehr, sondern ein Generierungs-Problem.** Brands fragen nicht mehr "wie finden wir Creator", sondern "wie lizenzieren, generieren und rotieren wir Creator-Content im Tempo von Paid Social". Hier die 7 Trends, die das Jahr definieren.
1558
1559## 1. AI UGC mit echten lizenzierten Creators
1560
1561Rein synthetische Gesichter verlieren Vertrauen; AI UGC auf KYC-verifizierten Real Models ist der neue Standard.
1562
1563## 2. Pro-Nutzung-Royalties mit Sofort-Auszahlung
1564
1565Tik Joy-artige Payouts begleichen Royalties an Creators in Tagen, nicht Quartalen.
1566
1567## 3. Always-on Creative-Refresh
1568
1569Top-Brands rotieren jede Woche neue Creatives ein — möglich nur dank AI-UGC-Ökonomie.
1570
1571## 4. Talent Agencies schwenken auf AI-Rechte
1572
1573Talent Agencies auf HeroShots verwalten die AI-Rechte ihres Rosters als wiederkehrende Umsatzlinie.
1574
1575## 5. Lokalisierung als Default
1576
15775 Sprachvarianten pro Gewinner zu generieren ist Standard, nicht Premium.
1578
1579## 6. Kategorie-Exklusivverträge
1580
1581Creators können konkurrierende Brands in ihrer Kategorie blocken — ein neues IP-Layer über Bildrechten.
1582
1583## 7. Disclosure wird zum Trust-Feature
1584
1585Optionale AI-Metadata-Tags wirken zunehmend als Vertrauenssignal statt als Haftung.`,faqs:[{q:"Stirbt rein synthetisches UGC?",a:"Es plateaut bei Performance-Cases — Vertrauenswerte liegen klar unter UGC mit echten lizenzierten Creators. Eine Nische bei Concept und Stilisierung bleibt."},{q:"Was ist die größte Kostenverschiebung?",a:"Von einem vollen Produktionsbudget pro UGC-Video zu Plattformpreisen ab €4,90 für einen Batch mit 4 Bildvarianten und €15 für ein Video bis 15 Sekunden (zzgl. MwSt.). Der Bottleneck verschiebt sich von Produktion zu Lerngeschwindigkeit."},{q:"Sind Influencer-Agenturen bedroht?",a:"Nur jene, die nicht pivotieren. Agenturen, die die AI-Rechte ihres Rosters lizenzieren, gewinnen eine wiederkehrende Royalty-Linie über den Kampagnen-Fees."},{q:"Werden Plattformen AI-Disclosure erzwingen?",a:"Meta und TikTok verlangen sie bereits für vollständig synthetischen Content. Granularere Labels sind 2026–2027 zu erwarten."}]},fr:{title:"7 tendances UGC qui façonnent le contenu brand en 2026",description:"En 2026 l'UGC s'hybride avec l'AI, paie des royalties par usage aux créateurs et passe du sourcing à la génération. Voici les 7 tendances que toute brand et agence doit suivre cette année.",body:`**En 2026 l'UGC n'est plus un problème de sourcing ; c'est un problème de génération.** Les brands ne demandent plus "comment trouve-t-on des créateurs" mais "comment licencie, génère et fait-on tourner du contenu créateur au rythme du paid social". Voici les 7 tendances qui définissent l'année.
1586
1587## 1. AI UGC avec créateurs réels licenciés
1588
1589Les visages purement synthétiques perdent en confiance ; l'AI UGC sur Real Models KYC-vérifiés est le nouveau standard.
1590
1591## 2. Royalties par usage avec paiements instantanés
1592
1593Des paiements type Tik Joy règlent les royalties aux créateurs en jours, pas en trimestres.
1594
1595## 3. Refresh créatif always-on
1596
1597Les top brands font tourner de nouveaux creatives chaque semaine — viable uniquement grâce à l'économie de l'AI UGC.
1598
1599## 4. Talent Agency pivot vers les droits AI
1600
1601Les Talent Agency sur HeroShots gèrent les droits AI de leur roster comme une ligne de revenu récurrente.
1602
1603## 5. Localisation par défaut
1604
1605Générer 5 variantes linguistiques par gagnant est désormais standard, pas premium.
1606
1607## 6. Contrats d'exclusivité de catégorie
1608
1609Les créateurs peuvent bloquer des brands concurrentes dans leur catégorie — une nouvelle couche d'IP au-dessus des droits à l'image.
1610
1611## 7. La disclosure devient une feature de confiance
1612
1613Les tags optionnels de metadata AI commencent à fonctionner comme signal de confiance plutôt que comme passif.`,faqs:[{q:"L'UGC purement synthétique meurt-il ?",a:"Il plafonne sur les cas performance — les scores de confiance restent nettement sous l'UGC avec créateurs réels licenciés. Une niche subsistera sur concept et stylisation."},{q:"Quel est le plus grand shift de coût ?",a:"D'un budget de production complet par vidéo UGC à un prix de plateforme qui démarre à €4,90 pour un batch de 4 variantes d'image et €15 pour une vidéo 

1613jusqu'à 15 secondes (HT). Le goulot passe de la production à la vitesse d'apprentissage."},{q:"Les agences d'influenceurs sont-elles menacées ?",a:"Seulement celles qui ne pivotent pas. Les agences qui licencient les droits AI de leur roster gagnent une ligne de royalty récurrente au-dessus des fees campagne."},{q:"Les plateformes vont-elles imposer la disclosure AI ?",a:"Meta et TikTok l'exigent déjà pour le contenu entièrement synthétique. Attendez-vous à des labels plus granulaires en 2026–2027."}]}}},{slug:"psychology-why-ugc-converts-better",date:"2026-06-03",author:"HeroShots",tags:["ugc","psychology","conversion"],translations:{en:{title:"The Psychology Behind Why UGC Converts Better Than Studio Ads",metaTitle:"The Psychology of Why UGC Converts Better",description:"UGC converts because the brain reads peer content as social proof, not advertising. Three biases drive it: similarity, authenticity and reactance.",body:`**UGC converts better than studio creative because the brain treats it as peer recommendation, not advertising.** Three cognitive biases drive a consistent **conversion lift**: similarity bias, authenticity heuristic, and reduced psychological reactance.
1614
1615## Bias 1 — Similarity ("people like me")
1616
1617The brain rates products higher when shown on bodies, homes and accents that resemble the viewer's own. Studio shoots compress diversity; UGC expands it.
1618
1619## Bias 2 — Authenticity heuristic
1620
1621Imperfection (real hands, real lighting, soft audio) reads as honest. Polished frames trigger ad-detection.
1622
1623## Bias 3 — Reduced reactance
1624
1625Reactance is the gut "I'm being sold to" reflex. UGC framing (review, vlog, get-ready-with-me) bypasses it because the format doesn't match the ad schema.
1626
1627## Why AI UGC preserves these biases
1628
1629AI UGC built on real licensed creators keeps the three signals (real face, native frame, peer tone). Synthetic-only faces lose the first two, and conversion drops with them.
1630
1631## How to test in your funnel
1632
1633Run the same offer with three creatives: studio polished, UGC traditional, AI UGC with real creator. Measure CVR on equal impressions per cell. The order is usually AI UGC ≈ traditional UGC > studio.`,faqs:[{q:"Does this apply to luxury brands too?",a:"Yes, but the format shifts. Luxury UGC leans into 'aspirational peer' — well-styled real customers — rather than raw vlogs."},{q:"Is UGC always better than studio?",a:"Not for top-of-funnel awareness on premium placements (OOH, TV). It dominates paid social and DPA."},{q:"Why does AI UGC keep the lift?",a:"Because the trust signal is the real licensed creator, not the production method. Strip the creator and the lift collapses."},{q:"Can you measure psychological reactance directly?",a:"Indirectly, via ad skip rate, watch-through and brand-lift surveys. UGC consistently scores better on all three."}]},it:{title:"La psicologia per cui l'UGC converte meglio degli ad da studio",description:"L'UGC converte meglio perché il cervello tratta il contenuto peer come prova sociale, non come pubblicità. Tre bias guidano il gap: similarity bias, euristica di autenticità e reattanza ridotta. Insieme fanno convertire l'UGC meglio del creative da studio.",body:`**L'UGC converte meglio del creative da studio perché il cervello lo tratta come raccomandazione peer, non come pubblicità.** Tre bias cognitivi spiegano un costante **lift di conversione**: similarity bias, euristica di autenticità e reattanza psicologica ridotta.
1634
1635## Bias 1 — Similarità ("gente come me")
1636
1637Il cervello valuta meglio i prodotti su corpi, case e accenti simili ai propri. Lo shoot da studio comprime la diversità; l'UGC la espande.
1638
1639## Bias 2 — Euristica di autenticità
1640
1641L'imperfezione (mani vere, luce vera, audio morbido) viene letta come onesta. Le inquadrature lucidate attivano il rilevamento "ad".
1642
1643## Bias 3 — Reattanza ridotta
1644
1645La reattanza è il riflesso "mi stanno vendendo qualcosa". Il framing UGC (review, vlog, get-ready-with-me) lo aggira perché il formato non combacia con lo schema "ad".
1646
1647## Perché l'AI UGC preserva questi bias
1648
1649L'AI UGC con creator reali licenziati mantiene i tre segnali (volto reale, inquadratura nativa, tono peer). I volti puramente sintetici perdono i primi due, e con essi cala la conversione.
1650
1651## Come testarlo nel tuo funnel
1652
1653Lancia la stessa offerta con tre creative: studio lucidato, UGC tradizionale, AI UGC con creator reale. Misura il CVR a parità di impression per cella. L'ordine di solito è AI UGC ≈ UGC tradizionale > studio.`,faqs:[{q:"Vale anche per i brand di lusso?",a:"Sì, ma il formato cambia. L'UGC luxury punta sul 'peer aspirazionale' — clienti reali ben stilizzati — invece dei vlog grezzi."},{q:"L'UGC è sempre meglio dello studio?",a:"Non per awareness top-of-funnel su placement premium (OOH, TV). Domina sul paid social e DPA."},{q:"Perché l'AI UGC mantiene il lift?",a:"Perché il segnale di fiducia è il creator reale licenziato, non il metodo di produzione. Togli il creator e il lift crolla."},{q:"Si può misurare direttamente la reattanza psicologica?",a:"Indirettamente, via skip rate, watch-through e survey brand-lift. L'UGC vince costantemente su tutti e tre."}]},es:{title:"La psicología por la que el UGC convierte mejor que los ads de estudio",description:"El UGC convierte mejor porque el cerebro procesa el contenido peer como prueba social, no como publicidad. Tres sesgos generan el gap: sesgo de similitud, heurística de autenticidad y reactancia reducida. Juntos hacen que el UGC convierta mejor que el creative de estudio.",body:`**El UGC convierte mejor que el creative de estudio porque el cerebro lo trata como recomendación peer, no como publicidad.** Tres sesgos cognitivos explican un **lift de conversión consistente**: sesgo de similitud, heurística de autenticidad y reactancia psicológica reducida.
1654
1655## Sesgo 1 — Similitud ("gente como yo")
1656
1657El cerebro valora mejor los productos sobre cuerpos, casas y acentos parecidos al propio. El shoot de estudio comprime la diversidad; el UGC la expande.
1658
1659## Sesgo 2 — Heurística de autenticidad
1660
1661La imperfección (manos reales, luz real, audio suave) se lee como honesta. Los planos pulidos activan el detector de "ad".
1662
1663## Sesgo 3 — Reactancia reducida
1664
1665La reactancia es el reflejo "me están vendiendo algo". El framing UGC (review, vlog, get-ready-with-me) la esquiva porque el formato no coincide con el esquema "ad".
1666
1667## Por qué el AI UGC conserva estos sesgos
1668
1669El AI UGC con creators reales licenciados mantiene las tres señales (cara real, plano nativo, tono peer). Los rostros puramente sint

1669éticos pierden las dos primeras, y con ellas cae la conversión.
1670
1671## Cómo testearlo en tu funnel
1672
1673Lanza la misma oferta con tres creatives: estudio pulido, UGC tradicional, AI UGC con creator real. Mide el CVR a igualdad de impresiones por celda. El orden suele ser AI UGC ≈ UGC tradicional > estudio.`,faqs:[{q:"¿Aplica también a brands de lujo?",a:"Sí, pero el formato cambia. El UGC de lujo se apoya en el 'peer aspiracional' — clientes reales bien estilizados — en lugar de vlogs crudos."},{q:"¿El UGC es siempre mejor que el estudio?",a:"No para awareness top-of-funnel en placements premium (OOH, TV). Domina en paid social y DPA."},{q:"¿Por qué el AI UGC mantiene el lift?",a:"Porque la señal de confianza es el creator real licenciado, no el método de producción. Quita el creator y el lift se desploma."},{q:"¿Se puede medir directamente la reactancia psicológica?",a:"Indirectamente, vía skip rate, watch-through y surveys de brand lift. El UGC gana de forma consistente en los tres."}]},de:{title:"Die Psychologie dahinter, warum UGC besser konvertiert als Studio-Ads",description:"UGC konvertiert besser, weil das Gehirn Peer-Content als Social Proof verarbeitet, nicht als Werbung. Drei Biases treiben den Gap: Similarity Bias, Authentizitäts-Heuristik, reduzierte Reaktanz. Zusammen lassen sie UGC besser konvertieren als Studio-Creative.",body:`**UGC konvertiert besser als Studio-Creative, weil das Gehirn es als Peer-Empfehlung behandelt, nicht als Werbung.** Drei kognitive Biases erklären einen konstanten **Conversion-Lift**: Similarity Bias, Authentizitäts-Heuristik und reduzierte psychologische Reaktanz.
1674
1675## Bias 1 — Ähnlichkeit ("Leute wie ich")
1676
1677Das Gehirn bewertet Produkte höher, wenn sie auf Körpern, in Wohnungen und mit Akzenten gezeigt werden, die den eigenen ähneln. Studio-Shoots komprimieren Vielfalt; UGC erweitert sie.
1678
1679## Bias 2 — Authentizitäts-Heuristik
1680
1681Unperfekte Details (echte Hände, echtes Licht, weicher Sound) wirken ehrlich. Hochglanz-Frames triggern die Ad-Erkennung.
1682
1683## Bias 3 — Reduzierte Reaktanz
1684
1685Reaktanz ist der Bauchreflex "Mir wird etwas verkauft". UGC-Framing (Review, Vlog, Get-Ready-with-me) umgeht ihn, weil das Format nicht dem Ad-Schema entspricht.
1686
1687## Warum AI UGC diese Biases bewahrt
1688
1689AI UGC auf echten lizenzierten Creators behält die drei Signale (echtes Gesicht, natives Frame, Peer-Ton). Rein synthetische Gesichter verlieren die ersten zwei — und mit ihnen fällt die Conversion.
1690
1691## So testest du das in deinem Funnel
1692
1693Spiele dasselbe Angebot mit drei Creatives: Studio poliert, UGC traditionell, AI UGC mit echtem Creator. Miss die CVR bei gleicher Impression-Zahl pro Zelle. Die Reihenfolge ist meist AI UGC ≈ traditionelles UGC > Studio.`,faqs:[{q:"Gilt das auch für Luxus-Brands?",a:"Ja, aber das Format verschiebt sich. Luxus-UGC setzt auf 'aspirational peer' — gut gestylte echte Kunden — statt rohe Vlogs."},{q:"Ist UGC immer besser als Studio?",a:"Nicht bei Top-Funnel-Awareness auf Premium-Placements (OOH, TV). Es dominiert auf Paid Social und DPA."},{q:"Warum behält AI UGC den Lift?",a:"Weil das Trust-Signal der echte lizenzierte Creator ist, nicht die Produktionsmethode. Ohne Creator bricht der Lift zusammen."},{q:"Kann man psychologische Reaktanz direkt messen?",a:"Indirekt, über Skip-Rate, Watch-Through und Brand-Lift-Surveys. UGC gewinnt konsistent in allen dreien."}]},fr:{title:"La psychologie derrière la meilleure conversion de l'UGC vs les ads studio",description:"L'UGC convertit mieux parce que le cerveau traite le contenu peer comme preuve sociale, pas comme publicité. Trois biais creusent l'écart : biais de similarité, heuristique d'authenticité et réactance réduite. Ensemble, ils font que l'UGC convertit mieux que le creative studio.",body:`**L'UGC convertit mieux que le creative studio parce que le cerveau le traite comme recommandation peer, pas comme publicité.** Trois biais cognitifs expliquent un **lift de conversion constant** : biais de similarité, heuristique d'authenticité et réactance psychologique réduite.
1694
1695## Biais 1 — Similarité ("des gens comme moi")
1696
1697Le cerveau valorise les produits sur des corps, intérieurs et accents qui ressemblent au sien. Le shoot studio compresse la diversité ; l'UGC l'élargit.
1698
1699## Biais 2 — Heuristique d'authenticité
1700
1701L'imperfection (vraies mains, vraie lumière, son doux) se lit comme honnête. Les plans polis déclenchent le détecteur d'ad.
1702
1703## Biais 3 — Réactance réduite
1704
1705La réactance, c'est le réflexe "on me vend quelque chose". Le framing UGC (review, vlog, get-ready-with-me) la contourne car le format ne colle pas au schéma "ad".
1706
1707## Pourquoi l'AI UGC préserve ces biais
1708
1709L'AI UGC avec créateurs réels licenciés conserve les trois signaux (visage réel, plan natif, ton peer). Les visages purement synthétiques perdent les deux premiers, et la conversion chute avec eux.
1710
1711## Comment le tester dans ton funnel
1712
1713Lance la même offre avec trois creatives : studio poli, UGC traditionnel, AI UGC avec créateur réel. Mesure le CVR à nombre d'impressions égal par cellule. L'ordre est généralement AI UGC ≈ UGC traditionnel > studio.`,faqs:[{q:"Cela s'applique-t-il aussi aux brands de luxe ?",a:"Oui, mais le format change. L'UGC luxe mise sur le 'peer aspirationnel' — clients réels bien stylés — plutôt que des vlogs bruts."},{q:"L'UGC est-il toujours meilleur que le studio ?",a:"Pas pour l'awareness top-of-funnel sur placements premium (OOH, TV). Il domine sur le paid social et la DPA."},{q:"Pourquoi l'AI UGC garde-t-il le lift ?",a:"Parce que le signal de confiance est le créateur réel licencié, pas la méthode de production. Retirez le créateur et le lift s'effondre."},{q:"Peut-on mesurer directement la réactance psychologique ?",a:"Indirectement, via skip rate, watch-through et brand-lift surveys. L'UGC gagne de façon constante sur les trois."}]}}}],eP=[{slug:"how-to-create-tiktok-ugc-video-10-minutes",date:"2026-06-04",author:"HeroShots",tags:["how-to","tiktok","ugc"],translations:{en:{title:"How to Create a TikTok UGC Video in Under 10 Minutes (2026 Guide)",metaTitle:"How to Create a TikTok UGC Video in 10 Minutes",description:"Step-by-step: upload your product, pick a real model, generate a 9:16 video and ship it to TikTok in under 10 minutes with AI UGC.",body:`You can ship a publish-ready TikTok UGC video in **under 10 minutes** using HeroShots: 2 min to upload the product, 1 min to pick a real model, 2 min to write the prompt, 60 sec to generate, 4 min to add captions and post.
1714
1715## The 6-step workflow
1716
1717- **Upload product** (1 image is enough).
1718- **Pick a Real Model** from the catalog that fits your audience.
1719- **Write a hook-first prompt**: "POV: you find the [product] that finally fixes [pain]".
1720- **Generate 9:16 video** at 8–12 seconds.
1721- **Add 1-line caption + 3 native hashtags**.
1722- **Post natively** (TikTok penalizes obvious cross-posts).
1723
1724## Why 10 minutes matters
1725
1726TikTok's algorithm rewards posting frequency. Brands shipping 4–7 UGC-style videos per week typically get far more organic reach than brands posting twice. AI UGC is the only way to hit that cadence without a studio.`,faqs:[{q:"Do I need editing software?",a:"No. HeroShots exports a 9:16 MP4 with captions baked in. You only add hashtags inside TikTok."},{q:"Will TikTok flag AI content?",a:"TikTok requires AI disclosure for synthetic media. HeroShots provides a one-click 'AI-generated' label compliant with TikTok's policy."}]},it:{title:"Come creare un video UGC per TikTok in meno di 10 minuti (Guida 2026)",description:"Step-by-step: carichi il prodotto, scegli un model reale, generi un video 9:16 e pubblichi su TikTok in meno di 10 minuti con l'AI UGC.",body:`Puoi pubblicare un video UGC TikTok pronto in **meno di 10 minuti** con HeroShots: 2 min per il prodotto, 1 min per il model, 2 min per il prompt, 60 sec per la generazione, 4 min per caption e pubblicazione.
1727
1728## Il workflow in 6 step
1729
1730- **Carica il prodotto** (basta 1 immagine).
1731- **Scegli un Real Model** dal catalogo coerente con il tuo target.
1732- **Scrivi un prompt hook-first**: "POV: trovi il [prodotto] che risolve davvero [problema]".
1733- **Genera video 9:16** da 8–12 secondi.
1734- **Aggiungi 1 caption + 3 hashtag nativi**.
1735- **Pubblica nativamente** (TikTok penalizza il cross-post ovvio).
1736
1737## Perché contano i 10 minuti
1738
1739L'algoritmo TikTok premia la frequenza. I brand che pubblicano 4–7 video UGC a settimana ottengono in genere molta più reach organica rispetto a chi posta due volte. L'AI UGC è l'unico modo di tenere quel ritmo senza uno studio.`,faqs:[{q:"Mi serve un software di editing?",a:"No. HeroShots esporta un MP4 9:16 con le caption integrate. Aggiungi solo gli hashtag dentro TikTok."}

1739,{q:"TikTok segnalerà il contenuto AI?",a:"TikTok richiede la disclosure per i contenuti sintetici. HeroShots fornisce un'etichetta 'AI-generated' con un click conforme alla policy TikTok."}]},es:{title:"Cómo crear un vídeo UGC para TikTok en menos de 10 minutos (Guía 2026)",description:"Paso a paso: sube tu producto, elige un model real, genera un vídeo 9:16 y publícalo en TikTok en menos de 10 minutos con AI UGC.",body:`Puedes lanzar un vídeo UGC TikTok listo en **menos de 10 minutos** con HeroShots: 2 min para el producto, 1 min para el model, 2 min para el prompt, 60 s para generar, 4 min para caption y publicar.
1740
1741## Workflow en 6 pasos
1742
1743- **Sube el producto** (1 imagen basta).
1744- **Elige un Real Model** del catálogo coherente con tu target.
1745- **Escribe un prompt hook-first**: "POV: encuentras el [producto] que arregla [dolor]".
1746- **Genera vídeo 9:16** de 8–12 segundos.
1747- **Añade 1 caption + 3 hashtags nativos**.
1748- **Publica nativo** (TikTok penaliza el cross-post obvio).
1749
1750## Por qué importan los 10 minutos
1751
1752El algoritmo de TikTok premia la frecuencia. Las marcas que publican 4–7 vídeos UGC por semana suelen lograr mucho más alcance orgánico que las que publican dos veces. AI UGC es la única forma de mantener ese ritmo sin estudio.`,faqs:[{q:"¿Necesito software de edición?",a:"No. HeroShots exporta un MP4 9:16 con caption integradas. Solo añades hashtags dentro de TikTok."},{q:"¿TikTok marcará el contenido AI?",a:"TikTok exige la divulgación de medios sintéticos. HeroShots ofrece una etiqueta 'AI-generated' con un clic conforme a la política."}]},de:{title:"TikTok-UGC-Video in unter 10 Minuten erstellen (Guide 2026)",description:"Schritt für Schritt: Produkt hochladen, echtes Model wählen, 9:16-Video generieren und in unter 10 Minuten auf TikTok posten — mit AI UGC.",body:`Du veröffentlichst ein TikTok-UGC-Video in **unter 10 Minuten** mit HeroShots: 2 min Produkt, 1 min Model, 2 min Prompt, 60 sec Generierung, 4 min Caption & Upload.
1753
1754## 6-Schritte-Workflow
1755
1756- **Produkt hochladen** (1 Bild reicht).
1757- **Real Model** aus dem Katalog wählen, das zu deiner Zielgruppe passt.
1758- **Hook-first Prompt**: "POV: du findest das [Produkt], das [Problem] endlich löst".
1759- **9:16-Video** generieren, 8–12 Sekunden.
1760- **1 Caption + 3 native Hashtags**.
1761- **Nativ posten** (TikTok bestraft offensichtliches Cross-Posting).
1762
1763## Warum 10 Minuten zählen
1764
1765Der TikTok-Algorithmus belohnt Frequenz. Marken mit 4–7 UGC-Videos pro Woche erzielen in der Regel deutlich mehr organische Reichweite als Marken mit zwei Posts. AI UGC ist der einzige Weg, dieses Tempo ohne Studio zu halten.`,faqs:[{q:"Brauche ich Editing-Software?",a:"Nein. HeroShots exportiert eine 9:16-MP4 mit eingebauten Captions. Hashtags fügst du in TikTok hinzu."},{q:"Markiert TikTok AI-Content?",a:"TikTok verlangt eine AI-Kennzeichnung. HeroShots bietet ein konformes 'AI-generated'-Label per Klick."}]},fr:{title:"Créer une vidéo UGC TikTok en moins de 10 minutes (Guide 2026)",description:"Étape par étape : upload du produit, choix d'un model réel, vidéo 9:16 générée et publiée sur TikTok en moins de 10 minutes avec l'AI UGC.",body:`Tu peux publier une vidéo UGC TikTok prête en **moins de 10 minutes** avec HeroShots : 2 min produit, 1 min model, 2 min prompt, 60 s génération, 4 min caption et publication.
1766
1767## Workflow en 6 étapes
1768
1769- **Upload produit** (1 image suffit).
1770- **Choisis un Real Model** du catalogue cohérent avec ton audience.
1771- **Prompt hook-first** : "POV : tu trouves le [produit] qui règle enfin [douleur]".
1772- **Vidéo 9:16** de 8–12 secondes.
1773- **1 caption + 3 hashtags natifs**.
1774- **Poste en natif** (TikTok pénalise le cross-post évident).
1775
1776## Pourquoi 10 minutes comptent
1777
1778L'algorithme TikTok récompense la fréquence. Les marques qui publient 4–7 vidéos UGC par semaine ont en général bien plus de portée organique que celles qui publient deux fois. L'AI UGC est le seul moyen de tenir ce rythme sans studio.`,faqs:[{q:"Ai-je besoin d'un logiciel de montage ?",a:"Non. HeroShots exporte un MP4 9:16 avec captions intégrées. Tu ajoutes les hashtags dans TikTok."},{q:"TikTok va-t-il signaler l'IA ?",a:"TikTok exige la divulgation des médias synthétiques. HeroShots fournit un label 'AI-generated' conforme en un clic."}]}}},{slug:"generate-realistic-product-images-without-photoshoot",date:"2026-06-05",author:"HeroShots",tags:["how-to","product-images","ecommerce"],translations:{en:{title:"How to Generate Realistic Product Images Without a Photoshoot",metaTitle:"Generate Product Images Without a Photoshoot",description:"Replace the product shoot with AI-generated images that look photographed. Here's the exact workflow used by D2C brands to ship their whole catalogue fast.",body:`You can replace a **product photoshoot** with AI-generated images that look photographed — **€4.90 for the first batch of 4 variants**, then **€1.90 for each further batch in the same project** (excl. VAT) — by uploading a single reference photo and letting the model handle background, lighting and angle.
1779
1780## The 4-input workflow
1781
1782- **Product reference**: 1 clean shot on white is enough.
1783- **Style brief**: "minimalist studio, soft side light, marble surface".
1784- **Aspect ratios**: 1:1 for PDP, 4:5 for Meta, 9:16 for Stories.
1785- **Variant count**: ship 8–12 per SKU for A/B.
1786
1787## Where it works best
1788
1789Lifestyle scenes, hand-holding shots, in-situ placements, seasonal backgrounds. Where to still shoot in real life: macro detail of fabric or texture for premium fashion, and any food where steam/melt is the hero.`,faqs:[{q:"Will the product look exactly like mine?",a:"Yes — HeroShots preserves the uploaded product's exact shape, color and label via product-locking, then composes the scene around it."},{q:"Can I use these on Amazon?",a:"Amazon allows AI-generated lifestyle images. Main PDP image must still be on pure white per Amazon's image standards."}]},it:{title:"Come generare immagini prodotto realistiche senza shooting fotografico",description:"Sostituisci lo shooting fotografico con immagini AI che sembrano fotografie. Il workflow usato dai brand D2C per pubblicare tutto il catalogo 

1789in fretta.",body:`Puoi sostituire uno **shooting fotografico** con immagini AI che sembrano fotografate — **€4,90 per il primo batch di 4 varianti**, poi **€1,90 per ogni batch successivo nello stesso progetto** (IVA esclusa): basta una foto di riferimento del prodotto e il modello gestisce sfondo, luce e angolo.
1790
1791## Workflow in 4 input
1792
1793- **Riferimento prodotto**: 1 scatto pulito su bianco basta.
1794- **Brief stile**: "studio minimal, luce laterale soffusa, piano in marmo".
1795- **Formati**: 1:1 per PDP, 4:5 per Meta, 9:16 per Stories.
1796- **Varianti**: 8–12 per SKU per fare A/B.
1797
1798## Dove funziona meglio
1799
1800Lifestyle, scatti hand-holding, ambientazioni, sfondi stagionali. Dove conviene ancora scattare dal vivo: macro su tessuti premium e food in cui vapore/colatura sono protagonisti.`,faqs:[{q:"Il prodotto sarà identico al mio?",a:"Sì — HeroShots conserva forma, colore e label del prodotto caricato tramite product-locking, e ricompone solo la scena attorno."},{q:"Posso usarle su Amazon?",a:"Amazon ammette immagini lifestyle AI. L'immagine principale PDP deve restare su sfondo bianco puro come da standard Amazon."}]},es:{title:"Cómo generar imágenes de producto realistas sin sesión de fotos",description:"Sustituye la sesión de fotos con imágenes AI que parecen fotografiadas. El workflow que usan las marcas D2C para sacar su catálogo entero rápido.",body:`Puedes sustituir un **shooting fotográfico** con imágenes AI que parecen fotografiadas — **€4,90 el primer lote de 4 variantes** y **€1,90 cada lote siguiente en el mismo proyecto** (IVA no incluido): subes una foto de referencia y el modelo gestiona fondo, luz y ángulo.
1801
1802## Workflow con 4 inputs
1803
1804- **Referencia producto**: 1 foto limpia sobre blanco.
1805- **Brief estilo**: "estudio minimalista, luz lateral suave, mármol".
1806- **Formatos**: 1:1 para PDP, 4:5 para Meta, 9:16 para Stories.
1807- **Variantes**: 8–12 por SKU para A/B.
1808
1809## Dónde funciona mejor
1810
1811Lifestyle, hand-holding, ambientación, fondos estacionales. Dónde aún conviene fotografiar real: macro de tejido premium y food con vapor/colado protagonista.`,faqs:[{q:"¿El producto será idéntico al mío?",a:"Sí — HeroShots preserva forma, color y etiqueta del producto subido con product-locking, y compone la escena alrededor."},{q:"¿Puedo usarlas en Amazon?",a:"Amazon admite imágenes lifestyle AI. La imagen principal del PDP debe seguir siendo sobre blanco puro."}]},de:{title:"Realistische Produktbilder ohne Fotoshooting generieren",description:"Ersetze das Fotoshooting durch AI-Bilder, die fotografiert aussehen. Der Workflow, mit dem D2C-Marken ihren ganzen Katalog schnell ausliefern.",body:`Du ersetzt das **Fotoshooting** durch AI-Bilder, die fotografiert wirken — **€4,90 für den ersten Batch mit 4 Varianten**, danach **€1,90 pro weiterem Batch im selben Projekt** (zzgl. MwSt.): ein einziges Referenzfoto reicht, das Modell übernimmt Hintergrund, Licht und Winkel.
1812
1813## Workflow mit 4 Inputs
1814
1815- **Produkt-Referenz**: 1 sauberes Foto auf Weiß.
1816- **Style-Brief**: "minimalistisches Studio, weiches Seitenlicht, Marmor".
1817- **Formate**: 1:1 für PDP, 4:5 für Meta, 9:16 für Stories.
1818- **Varianten**: 8–12 pro SKU für A/B.
1819
1820## Wo es am besten funktioniert
1821
1822Lifestyle, Hand-Holding, In-Situ, saisonale Hintergründe. Wo echtes Foto bleibt: Makro von Premium-Stoffen und Food, bei dem Dampf/Glanz Hauptdarsteller sind.`,faqs:[{q:"Sieht das Produkt genau aus wie meins?",a:"Ja — HeroShots fixiert Form, Farbe und Label des hochgeladenen Produkts per Product-Locking und komponiert nur die Szene."},{q:"Darf ich sie auf Amazon nutzen?",a:"Amazon erlaubt AI-Lifestyle-Bilder. Das PDP-Hauptbild muss laut Amazon-Standard auf reinem Weiß bleiben."}]},fr:{title:"Comment générer des images produit réalistes sans shooting",description:"Remplace le shooting photo par des images AI qui semblent photographiées. Le workflow des marques D2C pour livrer tout leur catalogue vite.",body:`Tu remplaces le **shooting photo** par des images AI qui semblent photographiées — **€4,90 pour le premier batch de 4 variantes**, puis **€1,90 par batch suivant dans le même projet** (HT) : une seule photo de référence suffit, le modèle gère fond, lumière et angle.
1823
1824## Workflow en 4 inputs
1825
1826- **Référence produit** : 1 photo nette sur blanc.
1827- **Brief style** : "studio minimaliste, lumière latérale douce, marbre".
1828- **Formats** : 1:1 pour PDP, 4:5 pour Meta, 9:16 pour Stories.
1829- **Variantes** : 8–12 par SKU pour A/B.
1830
1831## Où ça marche le mieux
1832
1833Lifestyle, hand-holding, mise en situation, fonds saisonniers. Où il vaut mieux shooter en vrai : macro de tissu premium et food où vapeur/coulée sont le héros.`,faqs:[{q:"Le produit sera-t-il identique au mien ?",a:"Oui — HeroShots conserve forme, couleur et étiquette du produit uploadé via product-locking, et compose la scène autour."},{q:"Puis-je les utiliser sur Amazon ?",a:"Amazon autorise les images lifestyle AI. L'image principale PDP doit rester sur blanc pur selon le standard Amazon."}]}}},{slug:"social-formats-guide-1-1-4-5-9-16-16-9",date:"2026-06-06",author:"HeroShots",tags:["how-to","formats","social"],translations:{en:{title:"Social Formats Guide: 1:1, 4:5, 9:16, 16:9 — When to Use Each",metaTitle:"Social Formats Guide: 1:1, 4:5, 9:16, 16:9",description:"1:1 for grids, 4:5 for max feed real estate, 9:16 for full-screen vertical, 16:9 for YouTube. Here's the cheat sheet for every platform in 2026.",body:`In 202

18336, **4:5 and 9:16 cover the vast majority of paid social impressions**. 1:1 still wins for grids, 16:9 only matters for YouTube and connected-TV. Picking the wrong ratio wastes a large share of the **available screen** on mobile.
1834
1835## The cheat sheet
1836
1837- **9:16** — TikTok, Reels, Stories, Shorts, vertical YouTube. Full-screen, max attention.
1838- **4:5** — Instagram & Facebook feed (largest non-vertical area allowed).
1839- **1:1** — Instagram grid, LinkedIn, profile thumbnails.
1840- **16:9** — YouTube long-form, connected-TV, embeds.
1841
1842## What to do in practice
1843
1844Generate every asset in **9:16 + 4:5 + 1:1**. HeroShots produces all three in one job, sharing the same scene and prompt — so creative testing stays variant-clean.`,faqs:[{q:"Can I crop 9:16 to 4:5 instead of regenerating?",a:"You can, but you lose composition control. Generating each ratio natively keeps the subject centered and the product prominent."},{q:"Does Meta still accept 1:1?",a:"Yes, but 4:5 gets more screen on mobile feed, so prefer 4:5 for feed and reserve 1:1 for grid and ads carousels."}]},it:{title:"Guida ai formati social: 1:1, 4:5, 9:16, 16:9 — quando usare ciascuno",description:"1:1 per la griglia, 4:5 per il massimo nel feed, 9:16 per il verticale full-screen, 16:9 per YouTube. Il cheat sheet per ogni piattaforma nel 2026.",body:`Nel 2026 **4:5 e 9:16 coprono la grande maggioranza delle impression paid social**. 1:1 resta forte solo per la griglia, 16:9 conta solo per YouTube e connected-TV. Sbagliare formato ti fa perdere una fetta importante dello **schermo disponibile** su mobile.
1845
1846## Il cheat sheet
1847
1848- **9:16** — TikTok, Reels, Stories, Shorts, YouTube verticale. Full-screen, massima attenzione.
1849- **4:5** — Feed Instagram e Facebook (la massima area non verticale ammessa).
1850- **1:1** — Griglia Instagram, LinkedIn, thumbnail profilo.
1851- **16:9** — YouTube long-form, connected-TV, embed.
1852
1853## Cosa fare in pratica
1854
1855Genera ogni asset in **9:16 + 4:5 + 1:1**. HeroShots produce i tre formati in un solo job, condividendo scena e prompt — così il creative testing resta variant-clean.`,faqs:[{q:"Posso croppare 9:16 a 4:5 invece di rigenerare?",a:"Sì, ma perdi controllo sulla composizione. Generare nativamente ogni ratio mantiene soggetto centrato e prodotto in primo piano."},{q:"Meta accetta ancora 1:1?",a:"Sì, ma 4:5 occupa più schermo nel feed mobile: preferisci 4:5 per il feed e tieni 1:1 per griglia e carousel ads."}]},es:{title:"Guía de formatos sociales: 1:1, 4:5, 9:16, 16:9 — cuándo usar cada uno",description:"1:1 para el grid, 4:5 para máxima pantalla en feed, 9:16 para vertical full-screen, 16:9 para YouTube. La cheat sheet para cada plataforma en 2026.",body:`En 2026 **4:5 y 9:16 cubren la gran mayoría de las impresiones paid social**. 1:1 sigue ganando en grid, 16:9 solo importa para YouTube y connected-TV. El formato equivocado desperdicia buena parte de la **pantalla disponible** en móvil.
1856
1857## Cheat sheet
1858
1859- **9:16** — TikTok, Reels, Stories, Shorts, YouTube vertical.
1860- **4:5** — Feed Instagram y Facebook.
1861- **1:1** — Grid Instagram, LinkedIn, thumbnails.
1862- **16:9** — YouTube long-form, connected-TV, embeds.
1863
1864## En la práctica
1865
1866Genera cada asset en **9:16 + 4:5 + 1:1**. HeroShots produce los tres en un solo job, compartiendo escena y prompt — el creative testing se queda variant-clean.`,faqs:[{q:"¿Puedo recortar 9:16 a 4:5 en lugar de regenerar?",a:"Sí, pero pierdes control de composición. Generar cada ratio nativo mantiene al sujeto centrado y el producto destacado."},{q:"¿Meta sigue aceptando 1:1?",a:"Sí, pero 4:5 ocupa más pantalla en feed móvil: prefiere 4:5 para feed y deja 1:1 para grid y carousel ads."}]},de:{title:"Social-Formate-Guide: 1:1, 4:5, 9:16, 16:9 — wann was nutzen",description:"1:1 fürs Grid, 4:5 für maximalen Feed-Platz, 9:16 für vertikales Full-Screen, 16:9 für YouTube. Cheat Sheet für jede Plattform 2026.",body:`202

18666 decken **4:5 und 9:16 den Großteil der Paid-Social-Impressions** ab. 1:1 gewinnt nur noch im Grid, 16:9 zählt für YouTube und Connected-TV. Falsches Ratio verschenkt einen großen Teil des **Bildschirms** auf Mobile.
1867
1868## Cheat Sheet
1869
1870- **9:16** — TikTok, Reels, Stories, Shorts, vertikales YouTube.
1871- **4:5** — Instagram-/Facebook-Feed.
1872- **1:1** — Instagram-Grid, LinkedIn, Thumbnails.
1873- **16:9** — YouTube-Longform, Connected-TV, Embeds.
1874
1875## In der Praxis
1876
1877Generiere jedes Asset in **9:16 + 4:5 + 1:1**. HeroShots produziert alle drei in einem Job mit derselben Szene und demselben Prompt — Creative-Testing bleibt variant-clean.`,faqs:[{q:"Kann ich 9:16 zu 4:5 croppen statt neu zu generieren?",a:"Möglich, aber du verlierst Kompositionskontrolle. Native Generierung hält Subjekt und Produkt zentriert."},{q:"Akzeptiert Meta noch 1:1?",a:"Ja, aber 4:5 nimmt mehr Bildschirm im Mobile-Feed ein. 4:5 für Feed, 1:1 für Grid und Carousel-Ads."}]},fr:{title:"Guide des formats sociaux : 1:1, 4:5, 9:16, 16:9 — quand utiliser chacun",description:"1:1 pour le grid, 4:5 pour la surface max en feed, 9:16 pour le vertical plein écran, 16:9 pour YouTube. Cheat sheet par plateforme en 2026.",body:`En 2026, **4:5 et 9:16 couvrent la grande majorité des impressions paid social**. 1:1 ne gagne plus que sur le grid, 16:9 ne compte que pour YouTube et connected-TV. Le mauvais ratio gaspille une bonne partie de l'**écran disponible** sur mobile.
1878
1879## Cheat sheet
1880
1881- **9:16** — TikTok, Reels, Stories, Shorts, YouTube vertical.
1882- **4:5** — Feed Instagram & Facebook.
1883- **1:1** — Grid Instagram, LinkedIn, thumbnails.
1884- **16:9** — YouTube long-form, connected-TV, embeds.
1885
1886## En pratique
1887
1888Génère chaque asset en **9:16 + 4:5 + 1:1**. HeroShots produit les trois en un seul job partageant scène et prompt — le creative testing reste variant-clean.`,faqs:[{q:"Puis-je recadrer 9:16 en 4:5 plutôt que régénérer ?",a:"Possible, mais tu perds le contrôle de composition. Générer chaque ratio en natif garde le sujet centré et le produit en avant."},{q:"Meta accepte-t-il encore 1:1 ?",a:"Oui, mais 4:5 occupe plus d'écran en feed mobile : préfère 4:5 pour le feed et garde 1:1 pour grid et carousel."}]}}},{slug:"how-to-write-ugc-video-script-hook-problem-solution-cta",date:"2026-06-07",author:"HeroShots",tags:["how-to","scripting","ugc"],translations:{en:{title:"How to Write a UGC Video Script: The Hook-Problem-Solution-CTA Framework",metaTitle:"How to Write a UGC Video Script",description:"The 4-beat UGC script formula that converts on TikTok and Reels: 3-second hook, named problem, product as solution, single CTA. With templates.",body:`A winning UGC script has 4 beats in **under 15 seconds**: hook (0–3s), problem (3–7s), solution (7–12s), CTA (12–15s). Scripts that follow this structure typically hold attention better than free-form ones on TikTok.
1889
1890## The 4 beats, with templates
1891
1892- **Hook (3s)**: "I tried [product] for 7 days, here's what happened" / "POV: you finally fix [pain]".
1893- **Problem (4s)**: name a specific, painful, named scenario.
1894- **Solution (5s)**: show product in use, name the one feature that solves it.
1895- **CTA (3s)**: single action — "link in bio", "code in caption", "save this".
1896
1897## What kills scripts
1898
1899Multiple CTAs, generic openings ("Hey guys"), 2 features instead of 1, brand logo in first 3 seconds.`,faqs:[{q:"Should the model speak or just show?",a:"Either works. Voice-on adds trust for high-consideration products; voice-off + captions wins for low-consideration impulse buys."},{q:"How long should the video be?",a:"8–15 seconds for awareness, 20–30 seconds for consideration. Above 30s, completion rate drops off sharply on TikTok."}]},it:{title:"Come scrivere uno script video UGC: il framework Hook-Problema-Soluzione-CTA",description:"La formula in 4 beat che converte su TikTok e Reels: hook in 3 secondi, problema, prodotto come soluzione, una sola CTA. Con template.",body:`Uno script UGC vincente ha 4 beat in **meno di 15 secondi**: hook (0–3s), problema (3–7s), soluzione (7–12s), CTA (12–15s). Gli script con questa struttura tengono in genere l'attenzione meglio dei free-form su TikTok.
1900
1901## I 4 beat con template
1902
1903- **Hook (3s)**: "Ho provato [prodotto] per 7 giorni, ecco com'è andata" / "POV: risolvi finalmente [problema]".
1904- **Problema (4s)**: nomina uno scenario specifico, doloroso, nominato.
1905- **Soluzione (5s)**: prodotto in uso, una sola feature che lo risolve.
1906- **CTA (3s)**: una sola azione — "link in bio", "codice nella caption", "salva questo".
1907
1908## Cosa uccide gli script
1909
1910Più CTA, aperture generiche ("Ciao ragazzi"), 2 feature al posto di 1, logo brand nei primi 3 secondi.`,faqs:[{q:"Il model deve parlare o solo mostrare?",a:"Entrambi funzionano. Voice-on aumenta la fiducia per prodotti high-consideration; voice-off + caption vince per impulse buy low-consideration."},{q:"Quanto deve durare il video?",a:"8–15 secondi per awareness, 20–30 secondi per consideration. Sopra i 30s il completion rate crolla su TikTok."}]},es:{title:"Cómo escribir un script de vídeo UGC: el framework Hook-Problema-Solución-CTA",description:"La fórmula de 4 beats que convierte en TikTok y Reels: hook en 3s, problema, producto como solución, una sola CTA. Con plantillas.",body:`Un script UGC ganador tiene 4 beats en **menos de 15 segundos**: hook (0–3s), problema (3–7s), solución (7–12s), CTA (12–15s). Los scripts con esta estructura suelen retener mejor la atención que los free-form en TikTok.
1911
1912## Los 4 beats con plantillas
1913
1914- **Hook (3s)**: "Probé [producto] 7 días, esto pasó" / "POV: por fin solucionas [dolor]".
1915- **Problema (4s)**: escenario específico, doloroso, nombrado.
1916- **Solución (5s)**: producto en uso, una sola feature que lo resuelve.
1917- **CTA (3s)**: una sola acción — "link en bio", "código en caption", "guarda esto".
1918
1919## Qué mata los scripts
1920
1921Múltiples CTAs, aperturas genéricas ("Hola chicos"), 2 features en vez de 1, logo en los primeros 3 segundos.`,faqs:[{q:"¿El model debe hablar o solo mostrar?",a:"Ambos funcionan. Voice-on suma confianza para productos high-consideration; voice-off + captions gana en impulse buys."},{q:"¿Cuánto debe durar el vídeo?",a:"8–15s para awareness, 20–30s para consideration. Por encima de 30s el completion rate cae en picado en TikTok."}]},de:{title:"UGC-Video-Skript schreiben: das Hook-Problem-Lösung-CTA-Framework",description:"Die 4-Beat-Formel, die auf TikTok und Reels konvert

1921iert: 3-Sekunden-Hook, benanntes Problem, Produkt als Lösung, ein einziger CTA. Mit Templates.",body:`Ein gewinnendes UGC-Skript hat 4 Beats in **unter 15 Sekunden**: Hook (0–3s), Problem (3–7s), Lösung (7–12s), CTA (12–15s). Skripte mit dieser Struktur halten die Aufmerksamkeit meist besser als Free-Form auf TikTok.
1922
1923## Die 4 Beats mit Templates
1924
1925- **Hook (3s)**: "Ich habe [Produkt] 7 Tage getestet — das ist passiert" / "POV: du löst endlich [Problem]".
1926- **Problem (4s)**: ein konkretes, schmerzhaftes Szenario benennen.
1927- **Lösung (5s)**: Produkt im Einsatz, das eine Feature, die es löst.
1928- **CTA (3s)**: eine einzige Aktion — "Link in Bio", "Code in Caption", "Speichern".
1929
1930## Was Skripte tötet
1931
1932Mehrere CTAs, generische Openings ("Hi Leute"), 2 Features statt 1, Markenlogo in den ersten 3 Sekunden.`,faqs:[{q:"Soll das Model sprechen oder nur zeigen?",a:"Beides funktioniert. Voice-on schafft Vertrauen für High-Consideration-Produkte; Voice-off + Captions gewinnt bei Impulse-Buys."},{q:"Wie lang soll das Video sein?",a:"8–15s für Awareness, 20–30s für Consideration. Über 30s fällt die Completion-Rate auf TikTok deutlich ab."}]},fr:{title:"Comment écrire un script vidéo UGC : le framework Hook-Problème-Solution-CTA",description:"La formule 4 beats qui convert

1932it sur TikTok et Reels : hook en 3s, problème, produit comme solution, un seul CTA. Avec templates.",body:`Un script UGC gagnant a 4 beats en **moins de 15 secondes** : hook (0–3s), problème (3–7s), solution (7–12s), CTA (12–15s). Les scripts qui suivent cette structure retiennent en général mieux l'attention que le free-form sur TikTok.
1933
1934## Les 4 beats avec templates
1935
1936- **Hook (3s)** : "J'ai testé [produit] 7 jours, voilà ce qui s'est passé" / "POV : tu règles enfin [douleur]".
1937- **Problème (4s)** : scénario spécifique, douloureux, nommé.
1938- **Solution (5s)** : produit en usage, une seule feature qui résout.
1939- **CTA (3s)** : une seule action — "lien en bio", "code en caption", "enregistre ça".
1940
1941## Ce qui tue les scripts
1942
1943Plusieurs CTA, ouvertures génériques ("Salut les amis"), 2 features au lieu d'1, logo dans les 3 premières secondes.`,faqs:[{q:"Le model doit-il parler ou juste montrer ?",a:"Les deux marchent. Voice-on ajoute de la confiance sur high-consideration ; voice-off + captions gagne sur l'impulse buy."},{q:"Quelle durée pour la vidéo ?",a:"8–15s en awareness, 20–30s en consideration. Au-delà de 30s le completion rate chute nettement sur TikTok."}]}}},{slug:"test-20-creative-variants-in-one-day",date:"2026-06-08",author:"HeroShots",tags:["how-to","creative-testing","performance"],translations:{en:{title:"How to Test 20 Creative Variants in One Day Without Blowing Your Budget",metaTitle:"How to Test 20 Creative Variants in One Day",description:"A repeatable testing protocol: 20 AI-generated variants, 4 hooks × 5 visuals, decided in 24 hours.",body:`You can test **20 creative variants in a single day** — image generation is €4.90 for the first batch of 4 variants and €1.90 for each further batch in the same project (excl. VAT), plus whatever Meta ad budget you allocate — and have a clear winner in **24–36 hours**. The unlock is removing production from the bottleneck.
1944
1945## The 4×5 matrix
1946
1947- **4 hooks**: pain-led, curiosity-led, social-proof, contrarian.
1948- **5 visuals**: same product, 5 different models/scenes.
1949- **20 cells** = 20 ads. Each generated in <2 min.
1950
1951## How to run the test
1952
1953- Single ad-set, **dynamic creative off**, equal weighting.
1954- Daily ad budget: the same small amount on every cell (~€10 of ad spend per variant).
1955- Kill after 24h anything below median CTR. Scale top 2.`,faqs:[{q:"Is 20 variants enough?",a:"For first-pass discovery yes. After identifying the top 2, run a deeper 10-variant follow-up on each winning hook for incremental gains."},{q:"How do I keep brand consistency across variants?",a:"Save a brand prompt template in HeroShots. Every variant inherits palette, lighting and prop guidelines."}]},it:{title:"Come testare 20 varianti creative in un giorno senza esplodere il budget",description:"Protocollo ripetibile: 20 varianti generate con AI, 4 hook × 5 visual, decisione in 24 ore.",body:`Puoi testare **20 varianti creative in un giorno** — la generazione immagini costa €4,90 per il primo batch di 4 varianti e €1,90 per ogni batch successivo nello stesso progetto (IVA esclusa), più il budget Meta che decidi tu — e avere un vincitore chiaro in **24–36 ore**. Lo sblocco è togliere la produzione dal collo di bottiglia.
1956
1957## La matrice 4×5
1958
1959- **4 hook**: pain-led, curiosity-led, social-proof, contrarian.
1960- **5 visual**: stesso prodotto, 5 model/scene diversi.
1961- **20 celle** = 20 ads. Ciascuna generata in <2 min.
1962
1963## Come fare il test
1964
1965- Singolo ad-set, **dynamic creative off**, peso uguale.
1966- Budget ads giornaliero: la stessa piccola cifra su ogni cella (~€10 di spesa ads per variante).
1967- Killa dopo 24h tutto sotto il CTR mediano. Scala i top 2.`,faqs:[{q:"20 varianti bastano?",a:"Per la discovery iniziale sì. Identificati i top 2, fai un follow-up di 10 varianti su ciascun hook vincente per guadagni incrementali."},{q:"Come mantengo la brand consistency?",a:"Salva un template prompt di brand in HeroShots. Ogni variante eredita palette, lighting e linee guida prop."}]},es:{title:"Cómo testar 20 variantes creativas en un día sin reventar el presupuesto",description:"Protocolo repetible: 20 variantes generadas con AI, 4 hooks × 5 visuales, decisión en 24 horas.",body:`Puedes testar **20 variantes creativas en un día** — la generación de imágenes cuesta €4,90 el primer lote de 4 variantes y €1,90 cada lote siguiente en el mismo proyecto (IVA no incluido), más el budget Meta que decidas — y tener un ganador claro en **24–36 horas**. La clave es sacar la producción del cuello de botella.
1968
1969## La matriz 4×5
1970
1971- **4 hooks**: pain-led, curiosity-led, social-proof, contrarian.
1972- **5 visuales**: mismo producto, 5 models/escenas distintas.
1973- **20 celdas** = 20 ads. Cada una en <2 min.
1974
1975## Cómo correr el test
1976
1977- Único ad-set, **dynamic creative off**, peso igual.
1978- Budget de ads diario: la misma cantidad pequeña en cada celda (~€10 de inversión publicitaria por variante).
1979- Mata tras 24h lo que esté bajo el CTR mediano. Escala los top 2.`,faqs:[{q:"¿20 variantes alcanzan?",a:"Para discovery inicial sí. Identificados los top 2, haz un follow-up de 10 variantes sobre cada hook ganador para ganancias incrementales."},{q:"¿Cómo mantengo la consistencia de marca?",a:"Guarda un template de prompt de marca en HeroShots. Cada variante hereda paleta, luz y guidelines de props."}]},de:{title:"20 Creative-Varianten an einem Tag testen — ohne Budget zu sprengen",description:"Wiederholbares Test-Protokoll: 20 AI-Varianten, 4 Hooks × 5 Visuals, Entscheidung in 24 Stunden.",body:`Du testest **20 Creative-Varianten an einem Tag** — die Bildgenerierung kostet €4,90 für den ersten Batch mit 4 Varianten und €1,90 pro weiterem Batch im selben Projekt (zzgl. MwSt.), dazu dein Meta-Budget — und hast einen klaren Gewinner in **24–36 Stunden**. Der Hebel: Produktion raus aus dem Bottleneck.
1980
1981## Die 4×5-Matrix
1982
1983- **4 Hooks**: Pain, Curiosity, Social Proof, Contrarian.
1984- **5 Visuals**: gleiches Produkt, 5 verschiedene Models/Szenen.
1985- **20 Zellen** = 20 Ads. Jede in <2 min generiert.
1986
1987## So läuft der Test
1988
1989- Ein Ad-Set, **Dynamic Creative off**, gleiche Gewichtung.
1990- Tages-Ad-Budget: derselbe kleine Betrag auf jeder Zelle (~€10 Werbebudget pro Variante).
1991- Nach 24h alles unter Median-CTR killen. Top 2 skalieren.`,faqs:[{q:"Reichen 20 Varianten?",a:"Für die erste Discovery ja. Danach 10 Folge-Varianten je Gewinner-Hook für inkrementelle Gewinne."},{q:"Wie halte ich Markenkonsistenz?",a:"Speichere ein Brand-Prompt-Template in HeroShots. Jede Variante erbt Palette, Licht und Prop-Guidelines."}]},fr:{title:"Comment tester 20 variantes créatives en un jour sans exploser le budget",description:"Protocole reproductible : 20 variantes générées en AI, 4 hooks × 5 visuels, décision en 24 heures.",body:`Tu peux tester **20 variantes créatives en un jour** — la génération d'images coûte €4,90 pour le premier batch de 4 variantes et €1,90 par batch suivant dans le même projet (HT), plus le budget Meta que tu choisis — et avoir un gagnant clair en **24–36 heures**. Le déblocage : sortir la production du bottleneck.
1992
1993## La matrice 4×5
1994
1995- **4 hooks** : pain, curiosity, social proof, contrarian.
1996- **5 visuels** : même produit, 5 models/scènes différents.
1997- **20 cellules** = 20 ads. Chacune en <2 min.
1998
1999## Comment lancer le test
2000
2001- Un seul ad-set, **dynamic creative off**, poids égal.
2002- Budget pub quotidien : le même petit montant sur chaque cellule (~€10 de budget pub par variante).
2003- Tue après 24h tout ce qui est sous le CTR médian. Scale le top 2.`,faqs:[{q:"20 variantes suffisent-elles ?",a:"Pour la discovery initiale oui. Une fois les top 2 identifiés, fais un follow-up de 10 variantes par hook gagnant pour des gains incrémentaux."},{q:"Comment garder la cohérence de marque ?",a:"Sauvegarde un template de prompt de marque dans HeroShots. Chaque variante hérite palette, lumière et guidelines props."}]}}},{slug:"ai-content-for-ecommerce-product-pages",date:"2026-06-09",author:"HeroShots",tags:["how-to","ecommerce","pdp"],translations:{en:{title:"How to Create Content for Your eCommerce Product Pages With AI",metaTitle:"AI Content for eCommerce Product Pages",description:"PDPs with 6+ images and a 15s lifestyle video convert better. Here's how to ship that for every SKU using AI UGC.",body:`Adding **6 images + 1 short lifestyle video** to a product page typically lifts add-to-cart. The cost barr

2003ier disappears with AI: images are €4.90 for the first batch of 4 variants and €1.90 for each further batch in the same project, and a lifestyle video up to 15 seconds is €15 (excl. VAT).
2004
2005## The PDP starter pack
2006
2007- **Hero on white** (Amazon/Google-safe).
2008- **3 lifestyle**: in-use, in-context, scale reference.
2009- **1 macro detail**.
2010- **1 size/fit shot** (apparel only).
2011- **1 15-second 9:16 lifestyle video** for embed and ads.
2012
2013## How to scale across SKUs
2014
2015Define the template once. HeroShots' batch generation applies the same scene blueprint to N products, preserving brand style across the catalog.`,faqs:[{q:"Will Google Shopping accept AI images?",a:"Yes. Google Merchant Center's policy is product accuracy, not capture method. The product must match what's shipped."},{q:"What about Shopify Magic?",a:"Shopify Magic does basic background swaps. HeroShots adds real models, true lifestyle scenes and video — work Magic doesn't cover."}]},it:{title:"Come creare contenuti per le PDP del tuo eCommerce con l'AI",description:"Le PDP con 6+ immagini e un video lifestyle da 15s convertono meglio. Ecco come farlo per ogni SKU con l'AI UGC.",body:`Aggiungere **6 immagini + 1 video lifestyle breve** a una product page in genere aumenta l'add-to-cart. Il muro di costo cade con l'AI: le immagini costano €4,90 per il primo batch di 4 varianti e €1,90 per ogni batch successivo nello stesso progetto, e un video lifestyle fino a 15 secondi costa €15 (IVA esclusa).
2016
2017## Lo starter pack PDP
2018
2019- **Hero su bianco** (sicuro per Amazon/Google).
2020- **3 lifestyle**: in uso, in contesto, riferimento scala.
2021- **1 macro dettaglio**.
2022- **1 size/fit** (solo apparel).
2023- **1 video lifestyle 9:16 da 15 secondi** per embed e ads.
2024
2025## Come scalare sulle SKU
2026
2027Definisci il template una volta. La batch generation di HeroShots applica lo stesso blueprint a N prodotti, mantenendo lo stile di brand su tutto il catalogo.`,faqs:[{q:"Google Shopping accetta immagini AI?",a:"Sì. La policy di Google Merchant Center è sull'accuratezza del prodotto, non sul metodo di acquisizione. Il prodotto deve corrispondere a quanto spedito."},{q:"E Shopify Magic?",a:"Shopify Magic fa swap di sfondo base. HeroShots aggiunge model reali, scene lifestyle vere e video — cose che Magic non copre."}]},es:{title:"Cómo crear contenido para las PDP de tu eCommerce con AI",description:"Las PDP con 6+ imágenes y un vídeo lifestyle de 15s convierten mejor. Cómo hacerlo para cada SKU con AI UGC.",body:`Añadir **6 imágenes + 1 vídeo lifestyle corto** a una product page suele subir el add-to-cart. El muro de coste cae con AI: las imágenes cuestan €4,90 el primer lote de 4 variantes y €1,90 cada lote siguiente en el mismo proyecto, y un vídeo lifestyle de hasta 15 segundos cuesta €15 (IVA no incluido).
2028
2029## Starter pack PDP
2030
2031- **Hero sobre blanco** (compatible Amazon/Google).
2032- **3 lifestyle**: en uso, en contexto, referencia de escala.
2033- **1 macro detalle**.
2034- **1 size/fit** (solo apparel).
2035- **1 vídeo lifestyle 9:16 de 15s** para embed y ads.
2036
2037## Cómo escalar entre SKUs
2038
2039Define el template una vez. La batch generation de HeroShots aplica el mismo blueprint a N productos manteniendo el estilo de marca en todo el catálogo.`,faqs:[{q:"¿Google Shopping admite imágenes AI?",a:"Sí. La política de Google Merchant Center es la precisión del producto, no el método de captura. Debe coincidir con lo enviado."},{q:"¿Y Shopify Magic?",a:"Shopify Magic hace swaps de fondo básicos. HeroShots añade models reales, escenas lifestyle y vídeo — cosas que Magic no cubre."}]},de:{title:"Content für deine eCommerce-Produktseiten mit AI erstellen",description:"PDPs mit 6+ Bildern und einem 15s-Lifestyle-Video konvertieren besser. So lieferst du das für jede SKU mit AI UGC.",body:`**6 Bilder + 1 kurzes Lifestyle-Video** auf einer PDP heben in der Regel die Add-to-Cart-Rate. Die Kostenmauer fällt mit AI: Bilder kosten €4,90 für den ersten Batch mit 4 Varianten und €1,90 pro weiterem Batch im selben Projekt, ein Lifestyle-Video bis 15 Sekunden kostet €15 (zzgl. MwSt.).
2040
2041## PDP-Starter-Pack
2042
2043- **Hero auf Weiß** (Amazon/Google-konform).
2044- **3 Lifestyle**: in Use, in Context, Maßstabsreferenz.
2045- **1 Makro-Detail**.
2046- **1 Size/Fit** (nur Apparel).
2047- **1 15-Sekunden 9:16 Lifestyle-Video** für Embed und Ads.
2048
2049## Skalierung über SKUs
2050
2051Template einmal definieren. HeroShots' Batch-Generierung wendet dasselbe Szenen-Blueprint auf N Produkte an und hält Brand-Style über den Katalog konstant.`,faqs:[{q:"Akzeptiert Google Shopping AI-Bilder?",a:"Ja. Google Merchant Centers Policy zielt auf Produktgenauigkeit, nicht Aufnahmemethode. Das Produkt muss dem Versand entsprechen."},{q:"Was ist mit Shopify Magic?",a:"Shopify Magic macht Basis-Hintergrund-Swaps. HeroShots liefert echte Models, echte Lifestyle-Szenen und Video — Magic nicht."}]},fr:{title:"Comment créer du contenu pour les PDP de ton eCommerce avec l'AI",description:"Les PDP avec 6+ images et une vidéo lifestyle de 15s convert

2051issent mieux. Comment livrer ça pour chaque SKU avec l'AI UGC.",body:`Ajouter **6 images + 1 vidéo lifestyle courte** sur une product page augmente en général l'add-to-cart. Le mur de coût tombe avec l'AI : les images coûtent €4,90 pour le premier batch de 4 variantes et €1,90 par batch suivant dans le même projet, et une vidéo lifestyle jusqu'à 15 secondes coûte €15 (HT).
2052
2053## Starter pack PDP
2054
2055- **Hero sur blanc** (compatible Amazon/Google).
2056- **3 lifestyle** : en usage, en contexte, échelle.
2057- **1 macro détail**.
2058- **1 size/fit** (apparel seulement).
2059- **1 vidéo lifestyle 9:16 de 15s** pour embed et ads.
2060
2061## Comment scaler sur les SKU
2062
2063Définis le template une fois. La batch generation HeroShots applique le même blueprint à N produits en gardant le style de marque sur tout le catalogue.`,faqs:[{q:"Google Shopping accepte-t-il les images AI ?",a:"Oui. La politique Google Merchant Center vise l'exactitude produit, pas la méthode de capture. Le produit doit correspondre à ce qui est expédié."},{q:"Et Shopify Magic ?",a:"Shopify Magic fait des swaps de fond basiques. HeroShots ajoute models réels, scènes lifestyle vraies et vidéo — ce que Magic ne couvre pas."}]}}},{slug:"tiktok-hooks-30-formulas-first-3-seconds",date:"2026-06-10",author:"HeroShots",tags:["how-to","tiktok","hooks"],translations:{en:{title:"TikTok Hooks: 30 Formulas for the First 3 Seconds",metaTitle:"TikTok Hooks: 30 Formulas for First 3 Seconds",description:"30 proven hook formulas grouped into 6 families — POV, contrarian, listicle, social proof, curiosity, transformation — with examples.",body:`**Most TikTok views are decided in the first 3 seconds.** A strong hook is the single biggest lever on completion rate, more than editing or music.
2064
2065## 6 hook families with examples
2066
2067- **POV**: "POV: you finally find a [product] that doesn't [pain]".
2068- **Contrarian**: "Stop [common advice]. Here's why."
2069- **Listicle**: "3 things I wish I knew before buying [X]".
2070- **Social proof**: "Why everyone in [city/niche] is using [X]".
2071- **Curiosity gap**: "This costs €X but does the job of a €Y product".
2072- **Transformation**: "Day 1 vs Day 30 of [X]".
2073
2074## How to test hooks
2075
2076Keep the **same body video** and swap only the first 3 seconds. Run 6 variants — one per family — and the winner becomes your template.`,faqs:[{q:"Which family converts best in 2026?",a:"POV and curiosity-gap formulas tend to perform well across beauty, food and consumer tech. B2B leans on contrarian and listicle."},{q:"Do hooks need on-screen text?",a:"Yes — most feeds play muted. The hook line must appear as caption in the first frame, not just spoken."}]},it:{title:"Hook TikTok: 30 formule per i primi 3 secondi del video",description:"30 formule di hook testate raggruppate in 6 famiglie — POV, contrarian, listicle, social proof, curiosity, transformation — con esempi.",body:`La **maggior parte delle view TikTok si decide nei primi 3 secondi.** Un hook forte è la leva più grande sul completion rate, più del montaggio o della musica.
2077
2078## 6 famiglie di hook con esempi
2079
2080- **POV**: "POV: finalmente trovi un [prodotto] che non [problema]".
2081- **Contrarian**: "Smetti di [consiglio comune]. Ecco perché."
2082- **Listicle**: "3 cose che vorrei sapere prima di comprare [X]".
2083- **Social proof**: "Perché tutti a [città/nicchia] stanno usando [X]".
2084- **Curiosity gap**: "Costa €X ma fa il lavoro di un prodotto da €Y".
2085- **Transformation**: "Giorno 1 vs Giorno 30 di [X]".
2086
2087## Come testare gli hook
2088
2089Mantieni lo **stesso body video** e cambia solo i primi 3 secondi. Lancia 6 varianti — una per famiglia — e il vincitore diventa il tuo template.`,faqs:[{q:"Quale famiglia converte meglio nel 2026?",a:"POV e curiosity-gap tendono a funzionare bene su beauty, food e consumer tech. Il B2B punta su contrarian e listicle."},{q:"Gli hook devono avere testo on-screen?",a:"Sì — la maggior parte dei feed va in muto. La riga di hook deve apparire come caption nel primo frame, non solo parlata."}]},es:{title:"Hooks de TikTok: 30 fórmulas para los primeros 3 segundos",description:"30 fórmulas de hook probadas agrupadas en 6 familias — POV, contrarian, listicle, social proof, curiosity, transformation — con ejemplos.",body:`La **mayoría de las visualizaciones de TikTok se deciden en los primeros 3 segundos.** Un hook fuerte es la mayor palanca sobre el completion rate, más que el montaje o la música.
2090
2091## 6 familias de hook con ejemplos
2092
2093- **POV**: "POV: por fin encuentras un [producto] que no [dolor]".
2094- **Contrarian**: "Deja de [consejo común]. Te explico por qué."
2095- **Listicle**: "3 cosas que ojalá supiera antes de comprar [X]".
2096- **Social proof**: "Por qué todos en [ciudad/nicho] usan [X]".
2097- **Curiosity gap**: "Cuesta €X pero hace lo que uno de €Y".
2098- **Transformation**: "Día 1 vs Día 30 de [X]".
2099
2100## Cómo testar hooks
2101

2102Mantén el **mismo body video** y cambia solo los primeros 3 segundos. Lanza 6 variantes — una por familia — y el ganador se vuelve tu template.`,faqs:[{q:"¿Qué familia convierte mejor en 2026?",a:"POV y curiosity-gap suelen funcionar bien en beauty, food y consumer tech. B2B se apoya en contrarian y listicle."},{q:"¿Los hooks necesitan texto en pantalla?",a:"Sí — la mayoría del feed va sin audio. La línea del hook debe aparecer como caption en el primer frame, no solo hablada."}]},de:{title:"TikTok-Hooks: 30 Formeln für die ersten 3 Sekunden",description:"30 erprobte Hook-Formeln in 6 Familien — POV, Contrarian, Listicle, Social Proof, Curiosity, Transformation — mit Beispielen.",body:`**Die meisten TikTok-Views entscheiden sich in den ersten 3 Sekunden.** Ein starker Hook ist der größte Hebel auf die Completion-Rate — mehr als Schnitt oder Musik.
2103
2104## 6 Hook-Familien mit Beispielen
2105
2106- **POV**: "POV: du findest endlich ein [Produkt], das nicht [Problem]".
2107- **Contrarian**: "Hör auf mit [verbreiteter Rat]. Hier ist warum."
2108- **Listicle**: "3 Dinge, die ich vor [X] wissen wollte".
2109- **Social Proof**: "Warum alle in [Stadt/Nische] [X] nutzen".
2110- **Curiosity Gap**: "Kostet €X, kann was €Y kostet".
2111- **Transformation**: "Tag 1 vs Tag 30 mit [X]".
2112
2113## Hooks testen
2114
2115Gleicher **Body-Video**, nur erste 3 Sekunden tauschen. 6 Varianten — eine pro Familie — und der Gewinner wird dein Template.`,faqs:[{q:"Welche Familie konvertiert 2026 am besten?",a:"POV und Curiosity-Gap funktionieren in der Regel gut in Beauty, Food und Consumer Tech. B2B setzt auf Contrarian und Listicle."},{q:"Brauchen Hooks On-Screen-Text?",a:"Ja — die meisten Feeds laufen stumm. Die Hook-Zeile muss im ersten Frame als Caption stehen, nicht nur gesprochen sein."}]},fr:{title:"Hooks TikTok : 30 formules pour les 3 premières secondes",description:"30 formules de hook éprouvées en 6 familles — POV, contrarian, listicle, social proof, curiosity, transformation — avec exemples.",body:`**La plupart des vues TikTok se décident dans les 3 premières secondes.** Un hook fort est le plus gros levier du completion rate, plus que le montage ou la musique.
2116
2117## 6 familles de hook avec exemples
2118
2119- **POV** : "POV : tu trouves enfin un [produit] qui ne [douleur] pas".
2120- **Contrarian** : "Arrête de [conseil commun]. Voilà pourquoi."
2121- **Listicle** : "3 choses que j'aurais voulu savoir avant [X]".
2122- **Social proof** : "Pourquoi tout le monde à [ville/niche] utilise [X]".
2123- **Curiosity gap** : "Coûte €X mais fait le boulot d'un €Y".
2124- **Transformation** : "Jour 1 vs Jour 30 de [X]".
2125
2126## Comment tester les hooks
2127
2128Garde la **même body video** et change uniquement les 3 premières secondes. 6 variantes — une par famille — et le gagnant devient ton template.`,faqs:[{q:"Quelle famille convertit le mieux en 2026 ?",a:"POV et curiosity-gap fonctionnent en général bien sur beauty, food et consumer tech. Le B2B s'appuie sur contrarian et listicle."},{q:"Les hooks ont-ils besoin de texte à l'écran ?",a:"Oui — la plupart des feeds sont muets. La ligne du hook doit apparaître en caption sur la première frame, pas seulement parlée."}]}}},{slug:"adapt-one-asset-tiktok-reels-stories-shorts",date:"2026-06-11",author:"HeroShots",tags:["how-to","repurposing","social"],translations:{en:{title:"How to Adapt One Asset to TikTok, Reels, Stories and Shorts",metaTitle:"Adapt One Asset to TikTok, Reels and Shorts",description:"One scene, four native exports. The repurposing workflow that turns one AI generation into 8 platform-native assets without re-shooting.",body:`Repurposing **one AI scene into 4 platform-native exports** lets you cover TikTok, Reels, Stories and Shorts from a single generation — one production cost instead of four.
2129
2130## The 4 export specs
2131
2132- **TikTok**: 9:16, 8–15s, captions baked, AI label on.
2133- **Reels**: 9:16, 15–30s, music-friendly cut, brand handle in caption.
2134- **Stories**: 9:16, 5–10s, stickers/CTA buttons added natively.
2135- **Shorts**: 9:16, <60s, vertical title card with keyword.
2136
2137## Why native exports beat cross-posts
2138
2139Cross-posted TikToks visibly stamped on Reels get **noticeably less reach**. Each platform's algorithm detects watermarks and de-prioritizes them. HeroShots strips and re-renders per platform.`,faqs:[{q:"Can I reuse the same caption?",a:"Hashtag style differs: Reels prefers 5–8 broad, TikTok prefers 3 niche, Shorts wants keywords in title. Hook line can stay."},{q:"Do Stories need a different aspect?",a:"Same 9:16, but compose with safe zones — top 14% and bottom 20% are covered by UI."}]},it:{title:"Come adattare un solo asset a TikTok, Reels, Stories e Shorts",description:"Una scena, quattro export nativi. Il workflow di repurposing che trasforma una generazione AI in 8 asset nativi senza rifare lo shooting.",body:`Riusare **una scena AI 

2139in 4 export nativi per piattaforma** copre TikTok, Reels, Stories e Shorts con una sola generazione — un solo costo di produzione invece di quattro.
2140
2141## I 4 export
2142
2143- **TikTok**: 9:16, 8–15s, caption integrate, label AI on.
2144- **Reels**: 9:16, 15–30s, taglio music-friendly, handle brand in caption.
2145- **Stories**: 9:16, 5–10s, sticker/CTA aggiunti nativamente.
2146- **Shorts**: 9:16, <60s, title card verticale con keyword.
2147
2148## Perché gli export nativi battono il cross-post
2149
2150I TikTok cross-postati con watermark visibile su Reels hanno **molta meno reach**. Ogni algoritmo riconosce i watermark e li penalizza. HeroShots li rimuove e rifa il rendering per piattaforma.`,faqs:[{q:"Posso riusare la stessa caption?",a:"Lo stile hashtag cambia: Reels preferisce 5–8 broad, TikTok 3 niche, Shorts vuole keyword nel titolo. La riga di hook può restare."},{q:"Le Stories servono un aspect diverso?",a:"Sempre 9:16, ma componi con safe zone — top 14% e bottom 20% sono coperti dalla UI."}]},es:{title:"Cómo adaptar un solo asset a TikTok, Reels, Stories y Shorts",description:"Una escena, cuatro exportaciones nativas. El workflow de repurposing que convierte una generación AI en 8 assets nativos sin reshoot.",body:`Reusar **una escena AI en 4 exportaciones nativas** te cubre TikTok, Reels, Stories y Shorts desde una sola generación — un solo coste de producción en vez de cuatro.
2151
2152## Las 4 exportaciones
2153
2154- **TikTok**: 9:16, 8–15s, captions integradas, etiqueta AI on.
2155- **Reels**: 9:16, 15–30s, corte music-friendly, handle marca en caption.
2156- **Stories**: 9:16, 5–10s, stickers/CTA añadidos nativos.
2157- **Shorts**: 9:16, <60s, title card vertical con keyword.
2158
2159## Por qué los exports nativos ganan al cross-post
2160
2161Los TikToks cross-posteados con watermark visible en Reels tienen **bastante menos alcance**. Cada algoritmo detecta watermarks y los penaliza. HeroShots los quita y re-renderiza por plataforma.`,faqs:[{q:"¿Puedo reusar la misma caption?",a:"El estilo de hashtag cambia: Reels prefiere 5–8 broad, TikTok 3 niche, Shorts quiere keywords en título. La línea de hook puede quedarse."},{q:"¿Stories necesitan otro aspect?",a:"Mismo 9:16, pero compón con safe zones — top 14% y bottom 20% los cubre la UI."}]},de:{title:"Ein Asset für TikTok, Reels, Stories und Shorts anpassen",description:"Eine Szene, vier native Exports. Repurposing-Workflow, der eine AI-Generierung in 8 plattform-native Assets verwandelt — ohne neuen Dreh.",body:`Eine **AI-Szene als 4 plattform-native Exports** wiederzuverwenden deckt TikTok, Reels, Stories und Shorts mit einer Generierung — eine Produktion statt vier.
2162
2163## Die 4 Exports
2164
2165- **TikTok**: 9:16, 8–15s, Captions eingebrannt, AI-Label an.
2166- **Reels**: 9:16, 15–30s, Music-Friendly-Cut, Brand-Handle in Caption.
2167- **Stories**: 9:16, 5–10s, Sticker/CTAs nativ.
2168- **Shorts**: 9:16, <60s, vertikale Title-Card mit Keyword.
2169
2170## Warum native Exports Cross-Posts schlagen
2171
2172Cross-gepostete TikToks mit sichtbarem Watermark auf Reels haben **deutlich weniger Reach**. Jeder Algorithmus erkennt Watermarks und priorisiert sie ab. HeroShots entfernt sie und rendert pro Plattform neu.`,faqs:[{q:"Kann ich dieselbe Caption nutzen?",a:"Hashtag-Style unterscheidet sich: Reels 5–8 breit, TikTok 3 nische, Shorts Keywords im Titel. Hook-Zeile darf bleiben."},{q:"Brauchen Stories ein anderes Aspect?",a:"Gleiches 9:16, aber mit Safe-Zones komponieren — oberes 14% und unteres 20% sind UI."}]},fr:{title:"Adapter un seul asset à TikTok, Reels, Stories et Shorts",description:"Une scène, quatre exports natifs. Le workflow de repurposing qui transforme une génération AI en 8 assets natifs sans re-tournage.",body:`Réutiliser **une scène AI en 4 exports natifs** couvre TikTok, Reels, Stories et Shorts depuis une seule génération — un seul coût de production au lieu de quatre.
2173
2174## Les 4 exports
2175
2176- **TikTok** : 9:16, 8–15s, captions intégrées, label AI on.
2177- **Reels** : 9:16, 15–30s, montage music-friendly, handle marque en caption.
2178- **Stories** : 9:16, 5–10s, stickers/CTA ajoutés en natif.
2179- **Shorts** : 9:16, <60s, title card verticale avec keyword.
2180
2181## Pourquoi les exports natifs battent le cross-post
2182
2183Les TikToks cross-postés avec watermark visible sur Reels ont **nettement moins de portée**. Chaque algorithme détecte les watermarks et les déprioritise. HeroShots les retire et re-render par plateforme.`,faqs:[{q:"Puis-je réutiliser la même caption ?",a:"Le style hashtag diffère : Reels préfère 5–8 broad, TikTok 3 niche, Shorts veut des keywords en titre. La ligne de hook peut rester."},{q:"Les Stories ont-elles besoin d'un autre aspect ?",a:"Même 9:16, mais compose avec safe zones — top 14% et bas 20% sont couverts par l'UI."}]}}}

2183,{slug:"i-found-this-place-video-local-business",date:"2026-06-12",author:"HeroShots",tags:["how-to","local-business","video"],translations:{en:{title:"How to Create an 'I Found This Place' Video for Your Local Business",metaTitle:"How to Make an 'I Found This Place' Video",description:"The discovery-style POV video drives far more saves than a standard menu post. Here's the formula for restaurants, cafés, gyms and salons.",body:`'I Found This Place' POV videos generate **far more saves and shares** than menu/promo posts on TikTok and Reels — making them the highest-leverage format for local businesses in 2026.
2184
2185## The formula
2186
2187- **Hook (3s)**: handheld walk-in shot + caption "I found this place in [neighborhood] and..."
2188- **Wow moment (4s)**: the one signature thing (latte art, equipment, vibe).
2189- **Proof (4s)**: people enjoying it (or AI model in the scene).
2190- **Detail (3s)**: price, time, name.
2191- **CTA (1s)**: location pin + handle.
2192
2193## How HeroShots helps if you can't film
2194
2195Upload one photo of your space and one of the signature item. Generate the POV walk-in scene with a Real Model — same vibe, no production day.`,faqs:[{q:"Will it look fake?",a:"Not if you ground the AI scene in real photos of your space. HeroShots preserves architecture, lighting and signage."},{q:"Should I geotag?",a:"Yes. Geotagged 'found this place' videos keep surfacing in TikTok Search 'near me' well after posting."}]},it:{title:"Come creare un video 'I found this place' per la tua attività locale",description:"Il video POV stile discovery porta molti più save di un post menù standard. La formula per ristoranti, caffè, palestre e saloni.",body:`I video POV 'I found this place' generano **molti più save e share** dei post menu/promo su TikTok e Reels — il formato a maggior leva per le attività locali nel 2026.
2196
2197## La formula
2198
2199- **Hook (3s)**: shot handheld in ingresso + caption "Ho trovato questo posto a [quartiere] e..."
2200- **Wow moment (4s)**: l'unica cosa signature (latte art, attrezzatura, vibe).
2201- **Proof (4s)**: persone che ne godono (o model AI nella scena).
2202- **Detail (3s)**: prezzo, orario, nome.
2203- **CTA (1s)**: pin location + handle.
2204
2205## Come ti aiuta HeroShots se non puoi filmare
2206
2207Carica una foto dello spazio e una dell'item signature. Genera la scena POV d'ingresso con un Real Model — stessa vibe, senza giornata di produzione.`,faqs:[{q:"Sembrerà finto?",a:"No se ancori la scena AI a foto reali dello spazio. HeroShots conserva architettura, illuminazione e insegne."},{q:"Devo geotaggare?",a:"Sì. I video 'found this place' geotaggati continuano a emergere nella TikTok Search 'near me' a lungo dopo la pubblicazione."}]}

2207,es:{title:"Cómo crear un vídeo 'I found this place' para tu negocio local",description:"El vídeo POV estilo discovery genera muchos más saves que un post de menú estándar. La fórmula para restaurantes, cafés, gimnasios y salones.",body:`Los vídeos POV 'I found this place' generan **muchos más saves y shares** que los posts de menú/promo en TikTok y Reels — el formato con mayor palanca para negocios locales en 2026.
2208
2209## La fórmula
2210
2211- **Hook (3s)**: shot handheld al entrar + caption "Encontré este sitio en [barrio] y..."
2212- **Wow (4s)**: la cosa signature (latte art, equipo, vibe).
2213- **Proof (4s)**: personas disfrutándolo (o model AI en escena).
2214- **Detail (3s)**: precio, horario, nombre.
2215- **CTA (1s)**: pin ubicación + handle.
2216
2217## Cómo te ayuda HeroShots si no puedes filmar
2218
2219Sube una foto del espacio y una del item signature. Genera la escena POV de entrada con un Real Model — misma vibe, sin jornada de producción.`,faqs:[{q:"¿Va a parecer falso?",a:"No si anclas la escena AI a fotos reales del local. HeroShots conserva arquitectura, iluminación y rótulos."},{q:"¿Debo geotaggear?",a:"Sí. Los vídeos 'found this place' geotaggeados siguen apareciendo en la TikTok Search 'near me' mucho después de publicarse."}]},de:{title:"'I Found This Place'-Video für dein lokales Business erstellen",description:"Discovery-Style-POV-Videos bringen deutlich mehr Saves als Standard-Menü-Posts. Die Formel für Restaurants, Cafés, Gyms, Salons.",body:`'I Found This Place'-POV-Videos generieren **deutlich mehr Saves und Shares** als Menü-/Promo-Posts auf TikTok und Reels — das Format mit dem größten Hebel für lokale Businesses 2026.
2220
2221## Die Formel
2222
2223- **Hook (3s)**: Handheld-Walk-In-Shot + Caption "Ich habe diesen Ort in [Viertel] gefunden und..."
2224- **Wow (4s)**: das Signature-Element (Latte-Art, Equipment, Vibe).
2225- **Proof (4s)**: Leute, die es genießen (oder AI-Model in der Szene).
2226- **Detail (3s)**: Preis, Zeit, Name.
2227- **CTA (1s)**: Location-Pin + Handle.
2228
2229## Wie HeroShots hilft, wenn du nicht drehen kannst
2230
2231Lad ein Foto deines Ladens und eins des Signature-Items hoch. Generiere die POV-Walk-In-Szene mit einem Real Model — gleiche Vibe, ohne Dreh-Tag.`,faqs:[{q:"Wirkt es fake?",a:"Nicht, wenn die AI-Szene auf echten Fotos deines Ladens basiert. HeroShots erhält Architektur, Licht und Beschilderung."},{q:"Soll ich geotaggen?",a:"Ja. Geotaggte 'found this place'-Videos tauchen noch lange nach dem Posten in der TikTok-Search 'in der Nähe' auf."}]},fr:{title:"Créer une vidéo 'I found this place' pour ton activité locale",description:"La vidéo POV style discovery génère bien plus de saves qu'un post menu standard. La formule pour restaurants, cafés, gyms et salons.",body:`Les vidéos POV 'I found this place' génèrent **bien plus de saves et de shares** que les posts menu/promo sur TikTok et Reels — le format à plus gros levier pour les business locaux en 2026.
2232
2233## La formule
2234
2235- **Hook (3s)** : shot handheld à l'entrée + caption "J'ai trouvé cet endroit à [quartier] et..."
2236- **Wow (4s)** : la chose signature (latte art, équipement, vibe).
2237- **Proof (4s)** : gens qui en profitent (ou model AI en scène).
2238- **Detail (3s)** : prix, horaire, nom.
2239- **CTA (1s)** : pin location + handle.
2240
2241## Comment HeroShots aide si tu ne peux pas filmer
2242
2243Upload une photo de ton espace et une de l'item signature. Génère la scène POV d'entrée avec un Real Model — même vibe, sans journée de prod.`,faqs:[{q:"Ça va paraître faux ?",a:"Non si tu ancres la scène AI sur des photos réelles de ton lieu. HeroShots conserve architecture, éclairage et enseignes."},{q:"Dois-je geotagger ?",a:"Oui. Les vidéos 'found this place' geotaggées continuent de remonter dans TikTok Search 'près de moi' longtemps après la publication."}]}}},{slug:"ai-voice-over-tts-voice-clone-guide",date:"2026-06-13",author:"HeroShots",tags:["how-to","voice","video"],translations:{en:{title:"AI Voice-Over Guide: Text-to-Speech, Voice Clone — When to Use Each",metaTitle:"AI Voice-Over Guide: TTS vs Voice Clone",description:"TTS is fine for captions-on muted feeds. Voice clone is needed when you want a creator's brand-recognizable voice on every video.",body:`**Use TTS for ad creative testing; use voice clone for owned channel content.** TTS handles most of paid social, where users watch muted. Voice clone matters when your audience associates a specific voice with your brand (founder, ambassador, repeat creator).
2244
2245## TTS — when to use it
2246
2247- Multilingual ad localization (20+ languages, one prompt).
2248- Quick variants for A/B testing.
2249- Captions-on feeds where audio is fallback.
2250
2251## Voice clone — when to use it
2252
2253- Long-form YouTube and podcast snippets.
2254- Founder-led brand content where voice = trust.
2255- Repeat creators on HeroShots who licensed their voice with explicit consent.
2256
2257## Compliance
2258
2259Never clone a voice you don't own or have explicit written consent for. HeroShots requires a granular voice-rights signature in the creator agreement, same as image rights.`,faqs:[{q:"Does TTS still sound robotic?",a:"Modern TTS (2026 models) is hard to tell apart from a real voice at short lengths. Above 30s, prosody breaks and viewers notice."}

2259,{q:"Can I clone an influencer's voice from public videos?",a:"Legally no — you need explicit written consent. HeroShots blocks uploads of voices without a signed consent record."}]},it:{title:"Guida al voice-over AI: text-to-speech, voice clone e quando usarli",description:"TTS va bene per i feed muti con captions. Il voice clone serve quando vuoi la voce riconoscibile di un brand su ogni video.",body:`**Usa TTS per il creative testing degli ad; usa il voice clone per i canali owned.** Il TTS copre gran parte del paid social, dove si guarda in muto. Il voice clone conta quando il pubblico associa una voce specifica al tuo brand (founder, ambassador, creator ricorrente).
2260
2261## TTS — quando usarlo
2262
2263- Localizzazione ad multilingua (20+ lingue, un prompt).
2264- Varianti rapide per A/B testing.
2265- Feed con captions on dove l'audio è fallback.
2266
2267## Voice clone — quando usarlo
2268
2269- Long-form YouTube e clip podcast.
2270- Contenuto founder-led dove voce = fiducia.
2271- Creator ricorrenti su HeroShots che hanno licenziato la voce con consenso esplicito.
2272
2273## Compliance
2274
2275Mai clonare una voce senza diritti o consenso scritto esplicito. HeroShots richiede una firma granulare sui diritti voce nel contratto creator, come per i diritti d'immagine.`,faqs:[{q:"Il TTS suona ancora robotico?",a:"Il TTS moderno (modelli 2026) è difficile da distinguere da una voce reale su tracce brevi. Oltre i 30s la prosodia salta e si nota."},{q:"Posso clonare la voce di un influencer da video pubblici?",a:"Legalmente no — serve consenso scritto esplicito. HeroShots blocca upload di voci senza record di consenso firmato."}]},es:{title:"Guía de voice-over AI: text-to-speech, voice clone — cuándo usar cada uno",description:"TTS basta para feeds muteados con captions. El voice clone se necesita cuando quieres una voz reconocible de marca en cada vídeo.",body:`**Usa TTS para creative testing de ads; usa voice clone para canales owned.** TTS cubre la mayor parte del paid social muteado. Voice clone importa cuando tu audiencia asocia una voz específica a tu marca (founder, embajador, creator recurrente).
2276
2277## TTS — cuándo usarlo
2278
2279- Localización multilingüe (20+ idiomas, un prompt).
2280- Variantes rápidas para A/B.
2281- Feeds con captions on, audio como fallback.
2282
2283## Voice clone — cuándo usarlo
2284
2285- Long-form YouTube y snippets podcast.
2286- Contenido founder-led donde voz = confianza.
2287- Creators recurrentes en HeroShots con consentimiento explícito.
2288
2289## Compliance
2290
2291Nunca clones una voz sin derechos o consentimiento escrito. HeroShots exige firma granular de derechos de voz, igual que de imagen.`,faqs:[{q:"¿El TTS sigue sonando robótico?",a:"El TTS moderno (modelos 2026) es difícil de distinguir de una voz real en tracks cortos. Por encima de 30s la prosodia falla y se nota."},{q:"¿Puedo clonar la voz de un influencer desde vídeos públicos?",a:"Legalmente no — necesitas consentimiento escrito explícito. HeroShots bloquea uploads sin registro firmado."}]},de:{title:"AI-Voice-Over-Guide: Text-to-Speech, Voice Clone — wann was",description:"TTS reicht für stumme Feeds mit Captions. Voice-Clone braucht es, wenn deine Marke an einer wiedererkennbaren Stimme hängt.",body:`**TTS für Creative-Testing in Ads; Voice-Clone für Owned-Channels.** TTS deckt den Großteil des stumm konsumierten Paid Social. Voice-Clone zählt, wenn deine Audience eine spezifische Stimme mit deiner Marke verbindet (Founder, Botschafter, Repeat-Creator).
2292
2293## TTS — wann
2294
2295- Mehrsprachige Ad-Lokalisierung (20+ Sprachen, ein Prompt).
2296- Schnelle Varianten für A/B.
2297- Captions-on-Feeds mit Audio als Fallback.
2298
2299## Voice-Clone — wann
2300
2301- YouTube-Longform und Podcast-Snippets.
2302- Founder-getriebener Content, wo Stimme = Vertrauen.
2303- Repeat-Creator auf HeroShots mit expliziter Stimmen-Einwilligung.
2304
2305## Compliance
2306
2307Klonen ohne Rechte oder schriftliche Einwilligung: nie. HeroShots verlangt granulare Stimm-Rechte im Creator-Vertrag — wie Bildrechte.`,faqs:[{q:"Klingt TTS noch roboterhaft?",a:"Moderne TTS (2026) ist bei Kurztracks kaum von einer echten Stimme zu unterscheiden. Über 30s bricht die Prosodie und fällt auf."},{q:"Darf ich Influencer-Stimmen aus Public Videos klonen?",a:"Rechtlich nein — explizite schriftliche Einwilligung nötig. HeroShots blockt Uploads ohne Consent-Record."}]},fr:{title:"Guide voice-over AI : text-to-speech, voice clone — quand utiliser",description:"TTS suffit pour les feeds muets avec captions. Le voice clone s'impose quand tu veux une voix de marque reconnaissable sur chaque vidéo.",body:`**TTS pour creative testing d'ads ; voice clone pour les canaux owned.** Le TTS couvre l'essentiel du paid social muet. Le voice clone compte quand ton audie

2307nce associe une voix spécifique à ta marque (founder, ambassadeur, créateur récurrent).
2308
2309## TTS — quand l'utiliser
2310
2311- Localisation ad multilingue (20+ langues, un prompt).
2312- Variantes rapides pour A/B.
2313- Feeds captions-on, audio en fallback.
2314
2315## Voice clone — quand l'utiliser
2316
2317- YouTube long-form et snippets podcast.
2318- Contenu founder-led où voix = confiance.
2319- Créateurs récurrents sur HeroShots ayant licencié leur voix avec consentement explicite.
2320
2321## Compliance
2322
2323Ne jamais cloner une voix sans droits ou consentement écrit explicite. HeroShots exige une signature granulaire des droits voix dans le contrat créateur, comme pour l'image.`,faqs:[{q:"Le TTS sonne-t-il encore robotique ?",a:"Le TTS moderne (modèles 2026) est difficile à distinguer d'une voix réelle sur tracks courts. Au-delà de 30s la prosodie casse et se remarque."},{q:"Puis-je cloner la voix d'un influenceur depuis vidéos publiques ?",a:"Légalement non — il faut un consentement écrit explicite. HeroShots bloque les uploads sans record signé."}]}}}],tP=[{slug:"ugc-skincare-brands-guide",date:"2026-06-14",updated:"2026-07-27",author:"HeroShots",tags:["vertical","skincare","beauty"],translations:{en:{title:"UGC for Skincare Brands: The Complete Guide",description:"Skincare UGC rests on routine, texture and skin-tone match. The formats, shot lists, prompts, claim rules and costs for scaling creator-style video.",body:`Skincare UGC works when it answers the three questions a shopper silently asks before buying: what does the routine look like, how does the product feel on skin, and does it look right on skin like mine. That maps to three formats — the **routine video** (20–30s), the **texture close-up** (5–10s, no script) and a **skin-tone matched still set** — plus one discipline to settle before any of it runs as an ad: how you talk about results. Before/after imagery and efficacy language are the fastest route to a rejected ad or a letter from a regulator. This guide covers the shot list, the prompting, the casting, the claim rules, and how to produce a whole month with [AI UGC](/glossary/ai-ugc) instead of booking a shoot per SKU.
2324
2325## What kinds of skincare UGC actually convert?
2326
2327Skincare shoppers frequently skip past hero-on-marble product shots and slow down for content that shows a product being *used*. Four formats carry most of the weight, each doing a different job in the funnel.
2328
2329| Format | Length | Must show | Best used for |
2330| --- | --- | --- | --- |
2331| Routine video | 20–30s | Order of steps, hands on face, real bathroom light | Cold traffic, TikTok/Reels, education |
2332| Texture close-up | 5–10s | Pump, spread, absorb — macro, no face | Retargeting, hooks, silent autoplay |
2333| Skin-tone matched stills | Still image | Same product, different skin tones | Product-page galleries, catalog, dynamic ads |
2334| Talking testimonial | 15–30s | Face, one specific benefit, no result claim | Mid-funnel, comment-objection replies |
2335
2336Keep the routine video and the texture close-up in permanent rotation. The texture clip is the cheapest thing to produce and the most reusable: it works as a standalone ad, as the opening seconds of a longer edit, and as a loop on the product page.
2337
2338### Why texture punches above its weight
2339
2340Texture is the part of skincare a still photo cannot communicate. A shopper wants to know whether a serum is watery or tacky, whether a cream pills under makeup, whether an oil sinks in. A five-second macro answers that better than any bullet point, and it needs no script, no face on camera and no voiceover to localise.
2341
2342## How do you build a routine video that doesn't look staged?
2343
2344Structure the 20–30 seconds as four beats and prompt each one separately, then edit them together. Trying to generate a whole routine in one shot is where things start to look synthetic.
2345
2346- **0–3s — the hook.** Product already in hand, mid-motion. No logo card, no "hi guys". A hand reaching for the bottle on a cluttered bathroom shelf tends to hold attention better than an empty studio counter.
2347- **3–12s — application.** Face in frame, fingertips touching skin, a little imprecision. Two products maximum, or it stops reading as a routine and starts reading as a catalog.
2348- **12–20s — texture insert.** Cut to the macro. This is where you reuse a clip you already generated.
2349- **20–30s — the payoff.** Face again, natural light, a sensory line rather than a results line: "sinks in before I even get to sunscreen."
2350
2351Write the prompt like a shot description, not a wish: subject, skin tone, setting, light source, camera distance, action, and what to exclude. "Close-up, warm bathroom morning light from a window on the left, hands pressing a lightweight gel into cheeks, slight sheen, no makeup, handheld phone framing" gives a usable clip far more reliably than "woman applying skincare, cinematic."
2352
2353Keep every generation for one campaign inside one project. Batches are billed per project: **€4.90 for the first batch of 4 variants, €1.90 for each further batch in the same project**, so the exploration after the first attempt is the cheap part.
2354
2355## How do you get texture close-ups that look real?
2356
2357Macro is unforgiving, so be specific about the physics you want.
2358
23591. **Name the viscosity.** "Thin, watery essence that beads slightly", "thick balm that stays proud of the skin", "gel-cream that flattens as it spreads". Vague words like "luxurious" produce vague results.
23602. **Name the surface.** Back of the hand, inner forearm, cheekbone. Each behaves differently and reads differently to a viewer.
23613. **Name the light.** Hard side light shows relief. Flat front light kills it. Backlight makes droplets glow but tips easily into CGI-looking.
23624. **Name the motion.** Pump, drip, dollop, swipe, tap, absorb. The absorb beat tends to be what holds attention to the end.
23635. **Exclude the tells.** Over-glossy skin, perfectly symmetric droplets and dust-free glass most often make a texture clip look artificial.
2364
2365Generate a batch of four, pick one, then use **an edit on the chosen image at €0.39 (€0.23 with HeroShots Pro)** to fix the one thing that's off — a label rotation, a highlight, a crop — rather than re-rolling the batch.
2366
2367## How do you cover skin-tone diversity without running a casting call?
2368
2369This is where AI production genuinely changes what a small brand can do. A traditional shoot forces you to pick two or three models and hope they cover your customer base. Generating lets you build a set that spans a wide range of skin tones for the same campaign. Two rules matter.
2370

2371**Cast, don't recolour.** Do not take one avatar and ask a model to darken or lighten the skin. Beyond the obvious ethical problem, it produces images where lighting, undertone and features don't agree with each other, and audiences notice. Use a separate creator or AI avatar per skin tone, each with its own identity.
2372
2373**Hold identity across the set.** A serum ad only works as a series if the same person is recognisably the same person from hook to payoff — that's [avatar consistency](/glossary/avatar-consistency), the difference between a campaign and four unrelated clips.
2374
2375If you use a real catalog model rather than an AI avatar, a creator likeness fee applies: **+25% on the base price, with a floor of €0.90 on images and €5 on videos**, and consent and [likeness licensing](/glossary/likeness-licensing) sit behind it so the creator is credited and paid. AI avatars add no fee. For a house face you own end to end, custom AI avatar setup is **€100 one-time** and bringing your own model is **€300 one-time**.
2376
2377## What can you say about results — and what should you never claim?
2378
2379Skincare is a heavily regulated advertising category, and the risk is not evenly spread: cosmetic claims about appearance are treated differently from claims that a product treats a condition. Ad platforms generally restrict or discourage before/after imagery in health and beauty categories, and generally expect efficacy claims to be substantiated — but the wording changes, so check current policy on each platform first. National regulators and cosmetics rules differ by market too.
2380
2381Practical guardrails that hold up across most of them:
2382
2383- **Don't generate a "result".** Never prompt a model to produce clearer, brighter or younger-looking skin as the *after* of a pair. A synthetic before/after is a fabricated result, and no disclaimer rescues it.
2384- **Show sensation, not outcome.** "Absorbs fast", "no sticky finish", "layers under SPF" describe the product. "Fades dark spots" describes a medical-adjacent outcome and needs evidence you actually hold.
2385- **If you have real evidence, use real assets.** Photography from your own consumer test, with its actual timeframe and conditions on screen and the standard "results vary" framing. Use generated content around it, never for the result itself.
2386- **Avoid condition language.** Acne, eczema, rosacea and melasma can move a cosmetic product toward being treated as a medicinal one in many markets.
2387- **Keep a paper trail.** Which avatar, which prompt, which claim, which approval. That is ordinary [brand safety](/glossary/brand-safety) hygiene, and it is what makes an ad account review survivable.
2388
2389Disclose AI content where the platform or your market requires it. Free-plan output is watermarked; if you need clean files for paid distribution, that is a paid-plan question, not a policy workaround.
2390
2391## How do you produce a month of skincare UGC, step by step?
2392
23931. **Pick three angles, not thirty.** Texture, routine fit, and one objection ("won't it pill under makeup?"). Everything else is a variant.
23942. **Import the product.** Upload clean product shots or pull them from an Amazon URL.
23953. **Cast four to six avatars** across skin tones, mixing AI avatars and licensed creators.
23964. **Generate texture first.** One project, several batches. Four variants come back per batch, typically in under a minute.
23975. **Pick and edit,** don't re-roll. Fix the single flaw at €0.39 per edit.
23986. **Build routine videos** from the winning texture beats: **€15 for video up to 15s, €35 for video up to 30s**, with extra retries at **€5 per 15s block**.
23997. **Run claim review before edit-out.** Cheaper to kill a prompt than a finished video.
24008. **Ship in pairs** — same script, different skin tone — so you can read which casting resonates.
24019. **Keep the losers.** Second-choice variants become organic posts and product-page loops.
240210. **Rebuild monthly** from the winning hook, not from scratch.
2403
2404### Wiring it into your stack
2405
2406At volume you need not work only in the browser: API access is available on paid plans, with official SDKs for npm, PyPI and Packagist, plus a Claude skill for driving generation from chat. The interface ships in five public languages.
2407
2408## What does this cost to run?
2409
2410Start on the **free plan**: 10 watermarked images a month and one video preview, no credit card, enough to test whether your product renders well in macro. From there images are billed per batch of 4 variants (€4.90 for the first batch in a project, €1.90 for each further batch in the same project) and videos are €15 or €35 by length — see [pricing](/pricing) for the full breakdown.
2411
2412If video is your main format, the pre-paid packages lower the per-unit cost: **Starter €350 (€70/video), Growth €650 (€65/video), Scale €1,500 (€60/video)**. **HeroShots Pro at €99/month** removes the watermark, enables direct downloads, applies −15% on videos, cheaper edits and a priority queue. All prices exclude VAT.
2413
2414For the wider trade-off against booking talent, a studio and a photographer for every seasonal drop, see [AI UGC vs a product photoshoot](/compare/ai-ugc-vs-product-photoshoot).
2415
2416## What mistakes make skincare UGC fall flat?
2417
2418- **Too many products in one clip.** A five-step routine is a catalog, not a recommendation.
2419- **Studio lighting.** Bathroom light, window light, slightly imperfect framing. Polish reads as an ad.
2420- **No hands.** Skincare is tactile; a product never touched never feels real.
2421- **Recycling one avatar across every skin tone.** Cast properly.
2422- **Leaving claims to the end.** Compliance is a brief input, not a final approval step.
2423- **Only making video.** Texture stills carry the product pages and dynamic ad slots video cannot fill.`,faqs:[{q:"What are the best UGC formats for a skincare brand?",a:"Four formats do most of the work: a 20–30 second routine video showing the order of steps and hands on skin, a 5–10 second texture close-up with no script, a set of skin-tone matched stills for product pages and dynamic ads, and a 15–30 second talking testimonial focused on one specific, non-medical benefit. Keep the routine video and the texture close-up in permanent rotation, since the texture clip also doubles as a hook for longer edits and as a loop on the product page."},{q:"How long should a skincare routine video be?",a:"Twenty to thirty seconds, built as four beats: a three-second hook with the product already in hand and in motion, roughly nine seconds of application with fingertips actually touching skin, a texture insert around the twelve-second mark, and a payoff line at the end that describes sensation rather than results. Generate each beat separately and edit them together — trying to produce a full routine in a single generation is where the output starts to look synthetic."},{q:"Are before-and-after images allowed in skincare ads?",a:"Ad platforms generally restrict or discourage before/after imagery in health and beauty categories, and generally expect efficacy claims to be substantiated, but the rules differ by platform and by market and change over time, so check current policy before building a campaign around one. The firm rule regardless of platform: never generate the 'after' with AI. A synthetic result is a fabricated claim, and n

2423o on-screen disclaimer fixes that. If you hold real consumer-test evidence, use the actual photography from that test with its real timeframe and conditions stated."},{q:"Can I use AI to generate skincare before/after content?",a:"No — not for the result itself. Prompting a model to produce clearer, brighter or younger-looking skin as the 'after' of a pair fabricates evidence of efficacy. You can use AI UGC for everything around the claim: routine videos, texture close-ups, application shots, and testimonials about how a product feels or fits into a routine. The result frame should come from real photography backed by real testing."},{q:"How do I show skin-tone diversity in AI-generated skincare content?",a:"Cast a separate creator or AI avatar for each skin tone rather than recolouring one avatar. Recolouring is both an ethical problem and a technical one: lighting, undertone and facial features stop agreeing with each other and audiences notice. Build four to six avatars across a wide range of skin tones for the same campaign, keep each one's identity stable across the shot sequence, and ship in pairs — same script, different skin tone — so you can see which casting resonates."},{q:"What should a skincare texture close-up actually show?",a:"Three moments: the dispense (pump, drip or dollop), the spread, and the absorb. The absorb beat tends to be what holds attention to the end. Prompt the physics explicitly — name the viscosity ('thin watery essence', 'thick balm that stays proud of the skin'), the surface (back of hand, inner forearm, cheekbone), the light direction, and the motion. Hard side light reveals relief; flat front light kills it. Exclude over-glossy skin and perfectly symmetric droplets, which are common tells that a macro clip is artificial."},{q:"How much does it cost to produce skincare UGC with HeroShots?",a:"Images are billed per batch of four variants: €4.90 for the first batch in a project and €1.90 for each further batch in the same project, with an edit on a chosen image at €0.39 (€0.23 with HeroShots Pro). Video is €15 for up to 15 seconds and €35 for up to 30 seconds, with extra retries at €5 per 15-second block. Pre-paid video packages lower the unit cost: Starter €350 (€70/video), Growth €650 (€65/video), Scale €1,500 (€60/video). All prices exclude VAT."},{q:"Is there a fee for using a real creator instead of an AI avatar?",a:"Yes. Using a real catalog model adds a creator likeness fee of +25% on the base price, with a floor of €0.90 on images and €5 on videos — this is what funds the creator royalty behind the licensed likeness. AI avatars add no fee. If you want a proprietary face, custom AI avatar setup is €100 one-time and bringing your own model is €300 one-time. All prices exclude VAT."},{q:"Can I test skincare UGC before paying?",a:"Yes. The free plan gives you 10 watermarked images a month and one video preview with no credit card, which is enough to check how your packaging and textures render before committing budget. Free-plan output carries a watermark, so for clean files intended for paid distribution you will need a paid plan or HeroShots Pro at €99/month, which removes the watermark, enables direct downloads, applies −15% on videos, cheaper edits and a priority queue."},{q:"What claims should skincare UGC avoid entirely?",a:"Avoid condition language — acne, eczema, rosacea, melasma — which can push a cosmetic product toward being regulated as a medicinal one in many markets. Avoid outcome claims you cannot substantiate with your own testing, such as fading pigmentation or reducing wrinkles. Stick to what the product does in the moment: absorbs quickly, no sticky finish, layers under SPF, doesn't pill under makeup. Run claim review at the brief stage rather than after the video is finished, and keep a record of which avatar, prompt and claim were approved."}],metaTitle:"UGC for Skincare Brands: A Practical Guide"},it:{title:"Contenuti UGC per brand skincare: la guida completa",description:"L'UGC skincare converte su routine, texture e prima/dopo. Come scalare 50+ video stile creator al mese con l'AI.",body:`L'UGC skincare batte tipicamente gli ad da studio sull'add-to-cart perché lo spettatore vuole vedere texture, applicazione e match con il proprio fototipo. I due formati che vincono: **routine** (mattina/sera, 20–30s) e **close-up texture** (5–10s, no script).
2424
2425## Cosa mostrare
2426
2427- **Texture**: pump, stesura, assorbimento. Vince la macro.
2428- **Diversità fototipi**: 5–7 Real Model su scala Fitzpatrick.
2429- **Prima/Dopo**: solo con dati clinici — evita i flag Meta.`,faqs:[{q:"I prima/d

2429opo sono ammessi su Meta?",a:"Solo con evidenza clinica documentata e disclaimer on-screen. Altrimenti Meta rifiuta. Usa il framing 'dopo 4 settimane di routine' invece del claim visivo puro."}]},es:{title:"UGC para marcas skincare: la guía completa",description:"El UGC skincare convierte en rutina, textura y antes/después. Cómo escalar 50+ vídeos estilo creator al mes con AI.",body:`El UGC skincare suele superar a los ads de estudio en add-to-cart porque el espectador quiere ver textura, aplicación y match con su fototipo. Los dos formatos ganadores: **rutina** (mañana/noche, 20–30s) y **close-up textura** (5–10s, sin script).
2430
2431## Qué mostrar
2432
2433- **Textura**: pump, extensión, absorción. Gana el macro.
2434- **Diversidad fototipos**: 5–7 Real Models en escala Fitzpatrick.
2435- **Antes/Después**: solo con datos clínicos — evita flags Meta.`,faqs:[{q:"¿Antes/Después se permiten en Meta?",a:"Solo con evidencia clínica y disclaimer en pantalla. Si no, Meta rechaza. Usa el framing 'tras 4 semanas de rutina' en vez de claim visual puro."}]},de:{title:"UGC für Skincare-Marken: Der komplette Guide",description:"Skincare-UGC konvertiert über Routine, Textur und Before/After. So skalierst du 50+ Creator-Style-Videos pro Monat mit AI.",body:`Skincare-UGC schlägt Studio-Ads typischerweise beim Add-to-Cart, weil Zuschauer Textur, Anwendung und Hauttyp-Match sehen wollen. Die zwei Gewinner-Formate: **Routine** (morgens/abends, 20–30s) und **Textur-Close-Ups** (5–10s, ohne Skript).
2436
2437## Was zeigen
2438
2439- **Textur**: Pump, Aufstrich, Aufnahme. Makro gewinnt.
2440- **Hauttyp-Vielfalt**: 5–7 Real Models über Fitzpatrick-Skala.
2441- **Before/After**: nur mit klinischen Daten — Meta-Policy-Flags vermeiden.`,faqs:[{q:"Sind Before/After-Claims auf Meta erlaubt?",a:"Nur mit belegbarer klinischer Evidenz und On-Screen-Disclaimer. Sonst lehnt Meta ab. Besser 'nach 4 Wochen Routine' statt purem Visual-Claim."}]},fr:{title:"UGC pour marques skincare : le guide complet",description:"L'UGC skincare convertit sur routine, texture et avant/après. Comment scaler 50+ vidéos style créateur par mois avec l'AI.",body:`L'UGC skincare bat souvent les ads studio sur l'add-to-cart parce que le spectateur veut voir texture, application et match avec son phototype. Les deux formats gagnants : **routine** (matin/soir, 20–30s) et **close-up texture** (5–10s, sans script).
2442
2443## Quoi montrer
2444
2445- **Texture** : pump, étalement, absorption. Le macro gagne.
2446- **Diversité phototypes** : 5–7 Real Models sur l'échelle Fitzpatrick.
2447- **Avant/Après** : seulement avec données cliniques — éviter les flags Meta.`,faqs:[{q:"Les avant/après sont-ils admis sur Meta ?",a:"Seulement avec preuve clinique et disclaimer à l'écran. Sinon Meta rejette. Préfère 'après 4 semaines de routine' au pur claim visuel."}]}}},{slug:"haircare-product-demo-videos-ai",date:"2026-06-15",updated:"2026-07-27",author:"HeroShots",tags:["vertical","haircare","beauty"],translations:{en:{title:"How to Create Haircare Product Demo Videos With AI: Shots, Hair Types, and What's Hard to Fake",description:"Shot list, hair-type coverage and production order for AI haircare demo videos, plus what generative video still gets wrong on hair and how to fix it.",body:`A haircare demo works when it proves three things fast: how the product goes on, how the hair moves once it is in, and what the texture looks like at close range. Everything else is packaging. AI video makes that sequence cheap to produce and, more usefully, cheap to *repeat*: the same curl cream demo can run on loose waves and on tight coils without booking two shoots. The catch is that hair is one of the harder subjects for a generative model to render honestly, so the winning workflow is not "write a prompt and hit render". It is storyboarding in stills first, buying motion only for the beats that need it, and designing shots around what the model handles well. On HeroShots that shape is easy to price: images are billed per batch of 4 variants, €4.90 for the first batch of a project and €1.90 for each further batch in the same project, while video is €15 up to 15 seconds and €35 up to 30 seconds. The storyboard is the cheap part; the render is worth protecting.
2448
2449## What makes a haircare demo video work?
2450
2451Haircare is a proof category, not a mood category. Someone watching a mask demo has one slightly anxious question — *will this do anything to hair like mine?* — and the video either answers it almost immediately or gets scrolled.
2452
2453Three jobs, by weight:
2454
2455- **Application legibility.** The viewer needs to see dose and placement. A pea of serum on mid-lengths and a palm of mask through the ends are different products, and a demo that hides the amount reads as evasive.
2456- **Movement.** Shine, weight, separation and bounce only exist as motion cues. A still can be lit into looking healthy, so movement tends to carry more credibility.
2457- **Result at close range.** A mid-shot result is not a result. Frizz halo, curl definition and root lift live in a tight frame.
2458
2459One rule matters more here than in most categories: **one promise per video.** A clip claiming shine *and* volume *and* heat protection *and* colour safety proves none of them. Make four short videos, not one long one — which is what [performance creative](/glossary/performance-creative) testing wants anyway.
2460