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https://facedetection.com/online-reverse-image-search/

html facedetection.com collected 2026-09-26 04:43:33 UTC 89,572 bytes, 309 lines download raw bytes

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116			<h1 class="entry-title">Reverse Image Search | Face Finder Online Demos</h1>
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118
119		<div class="entry-content">
120			<h2>Reverse Image Search &#8211; Searching People by Photos</h2>
121<p><img fetchpriority="high" width="457" height="262" decoding="async" class="aligncenter" src="/wp-content/uploads/reverse-image-search-people-photos.jpg" alt="People Search Photos best reverse image search catfish free" title="People Searching using Reverse Image Search Catfish"/></p>
122<p>Every few days I get a message from users all over the world, with more or less the same question: I have a <strong>photo</strong> of someone I am looking for, can you help me find this person on the Internet? (This is usually referred to &#8220;<strong>reverse image search</strong>&#8220;, or &#8220;<strong>people search</strong>&#8221; with photograph images, &#8220;<strong>catfish image search</strong>&#8221; or &#8220;<strong>
122similar image searching</strong>&#8220;), or even reverse catfish image search. They want an answer to &#8220;what is the best catfish image search&#8221;?</p>
123<p>Unfortunately, I can&#8217;t do that on my own. I&#8217;d need to have access to all images of all people of this world to use a <strong>face finder</strong> and face recognition for photo lookup. Some Intelligence Service might have such a database. I don&#8217;t.</p>
124<p>You need to have access to a real huge collection of images, and you need very strong computing power. That can only be done by companies with huge resources. Therefore, for some time it was only Google with such a capability. Their image search is not using face recognition (afaik), but their scale invariant feature technology works nice on face images, too.<br />
125But now it is no longer Google alone to offer such a service! So here is a list of search engines that can compare images within a reasonably large database (please send feedback if you know more):</p>
126<h3>Conduct a reverse image search with big Search Engines (Google, Bing, etc.)</h3>
127<ul>
128<li><a title="People search using Google" href="https://www.google.com/search?q=%3CClick+on+Camera+Icon+to+the+right+to+upload+your+photo%3E&amp;tbm=isch" target="_blank" rel="nofollow noopener noreferrer">Google Image Search</a><br />
129<a title="Reverse image searching using Google" href="https://www.google.com/search?q=%3CClick+on+Camera+Icon+to+the+right+to+upload+your+photo%3E&amp;tbm=isch" target="_blank" rel="nofollow noopener noreferrer"><img width="586" height="197" decoding="async" alt="Google Reverse Image Search" title="Google reverse image searching" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20586%20197'%3E%3C/svg%3E" data-lazy-src="/wp-content/uploads/Google-reverse-image-searching.png" /><noscript><img width="586" height="197" decoding="async" alt="Google Reverse Image Search" title="Google reverse image searching" src="/wp-content/uploads/Google-reverse-image-searching.png" /></noscript></a><br />
130Just upload a photo to Google&#8217;s Image Search, and it will find similar images. With Google owning probably the largest database of images on the web, chances are high that you find that (or at least a similar) photo. Probably the best image search catfish solution.</li>
131</ul>
132<ul>
133<li><a title="People search using Bing" href="https://www.bing.com/images/" target="_blank" rel="nofollow noopener noreferrer">Bing Image Search</a><br />
134<a title="People search using Bing" href="https://www.bing.com/images/" target="_blank" rel="nofollow noopener noreferrer"><img width="490" height="88" decoding="async" alt="Reverse Photo Lookup with Bing" title="Bing reverse image search with photo lookup" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20490%2088'%3E%3C/svg%3E" data-lazy-src="/wp-content/uploads/Bing-reverse-photo-lookup.png"/><noscript><img width="490" height="88" decoding="async" alt="Reverse Photo Lookup with Bing" title="Bing reverse image search with photo lookup" src="/wp-content/uploads/Bing-reverse-photo-lookup.png"/></noscript></a><br />
135Bing now also offers an Image Search (using photo upload or URL), but it is harder to find than Google&#8217;s feature. Just use the link given above, then click the camera icon, and then &#8220;browse&#8221;.</li>
136</ul>
137<ul>
138<li><a title="People search using Yandex" href="https://yandex.ru/images/search?rpt=imagedups" target="_blank" rel="nofollow noopener noreferrer">Yandex Reverse Image Search</a><br />
139Russian search engine Yandex also offers reverse image matching, including image upload.</li>
140</ul>
141<ul>
142<li><a title="People search using Baidu" href="https://image.baidu.com/" target="_blank" rel="nofollow noopener noreferrer">Baidu Reverse Image Search</a><br />
143Chinese search engine Baidu also offers reverse photo lookup with image upload.</li>
144</ul>
145<h3>Use a free reverse image search tool</h3>
146<ul>
147<li><a title="AI Reverse Image Search with Lenso" href="https://lenso.ai/" target="_blank" rel="noopener noreferrer">Lenso.ai</a><img width="37" height="38" decoding="async" title="Lenso AI look-alike pics" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%2037%2038'%3E%3C/svg%3E" alt="artificial intelligence ai driven similar image search f
147inder Lenso" data-lazy-src="/wp-content/uploads/new-online-face-finder.gif" /><noscript><img width="37" height="38" decoding="async" title="Lenso AI look-alike pics" src="/wp-content/uploads/new-online-face-finder.gif" alt="artificial intelligence ai driven similar image search finder Lenso" /></noscript><br />
148Lenso.ai is a reverse image search platform that offers advanced face search capabilities. It enables users to find face matches across a vast and continuously updated index. By analyzing key facial features, Lenso.ai performs face searches even in images with different angles, lighting conditions, and resolutions.</li>
149</ul>
150<ul>
151</ul>
152<ul>
153<li><a href="https://infringement.report/api/raider-reverse-image-search/" target="_blank" rel="noopener">ImageRaider</a><br />
154Currently uses Google, Bing and Yandex to do a reverse image search by making use of the <a title="Infringement.Report reverse image lookup API" href="https://infringement.report/api/reverse-image-search/" target="_blank" rel="noopener noreferrer">Infringement.Report API</a>. Very helpful site for people using a mobile device and therefore cannot easily use the links above for a face search.</li>
155</ul>
156<ul>
157<li><a title="Inverse look-alike photo searching within Pinterest" href="https://www.pinterest.com/" target="_blank" rel="noopener noreferrer">Pinterest</a><img width="37" height="38" decoding="async" title="Pinterest look-alike pics" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%2037%2038'%3E%3C/svg%3E" alt="inverse similar image search finder Pinterest" data-lazy-src="/wp-content/uploads/new-online-face-finder.gif" /><noscript><img width="37" height="38" decoding="async" title="Pinterest look-alike pics" src="/wp-content/uploads/new-online-face-finder.gif" alt="inverse similar image search finder Pinterest" /></noscript><br />
158Select the image you want to look-up, and then click on the magnify glass icon at the lower right corner of that image. Similar images will be shown then. So just upload and pin the image you want to search for to see whether there are similar faces on Pinterest.</li>
159</ul>
160<ul>
161<li><a href="https://apps.apple.com/app/reverse-image-search-app/id1003144513" target="_blank" rel="noopener noreferrer">Reverse Image Search App for iOS</a><img width="37" height="38" decoding="async" title="New web app for reverse picture matching" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%2037%2038'%3E%3C/svg%3E" alt="reverse image searching web app" data-lazy-src="/wp-content/uploads/new-online-face-finder.gif" /><noscript><img width="37" height="38" decoding="async" title="New web app for reverse picture matching" src="/wp-content/uploads/new-online-face-finder.gif" alt="reverse image searching web app" /></noscript><br />
162Web app for mobile reverse image searching.</li>
163</ul>
164<ul>
165<li><a href="https://play.google.com/store/apps/details?id=com.thinkfree.searchbyimage" target="_blank" rel="noopener noreferrer">Reverse Image Search App for Android</a><img width="37" height="38" decoding="async" title="New web app for reverse picture matching" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%2037%2038'%3E%3C/svg%3E" alt="reverse image searching web app" data-lazy-src="/wp-content/uploads/new-online-face-finder.gif" /><noscript><img width="37" height="38" decoding="async" title="New web app for reverse picture matching" src="/wp-content/uploads/new-online-face-finder.gif" alt="reverse image searching web app" /></noscript><br />
166Web app for mobile reverse image searching.</li>
167</ul>
168<ul>
169<li><a href="https://pimeyes.com/en/" target="_blank" rel="noopener noreferrer">PimEyes</a><img width="37" height="38" decoding="async" title="New online face match demo (for look-alike image searching)" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%2037%2038'%3E%3C/svg%3E" alt="which face do you look like?" data-lazy-src="/wp-content/uploads/new-online-face-finder.gif" /><noscript><img width="37" height="38" decoding="async" title="New online face match demo (for look-alike image searching)" src="/wp-content/uploads/ne
169w-online-face-finder.gif" alt="which face do you look like?" /></noscript><br />
170Uses real facial recognition algorithms to compare a submitted photo with images of about 10 million people. The database obviously contains many freely available images from the Web, including Wikipedia. Results are quite good even for rotated, low-res faces.</li>
171</ul>
172<ul>
173<li><a title="People search using Karma Decay" href="http://karmadecay.com/" target="_blank" rel="nofollow noopener noreferrer">Karma Decay Image Search on Reddit</a><br />
174Beta version of a free reverse image search tool on Reddit.com.</li>
175</ul>
176<ul>
177<li><a href="http://www.tineye.com/" target="_blank" rel="noopener noreferrer">TinEye Reverse Image Search</a><br />
178Claims to have indexed over 12 billion images. Allows image input either via upload or with a given URL.</li>
179</ul>
180<ul>
181<li><a href="http://www.pictriev.com/" target="_blank" rel="noopener noreferrer">PicTriev &#8211; Searching Faces on the Web</a><br />
182This one uses real face recognition to find a similar looking face. Unfortunately it searches only within a limited set of &#8220;celebrities&#8221;.</li>
183</ul>
184<ul>
185<li><a title="Stolen Picture Search" href="https://berify.com/" target="_blank" rel="nofollow noopener noreferrer">Berify Stolen Image Search</a><br />
186Last but surely not least I&#8217;d like to draw your attention to this new reverse image search engine (which seems to be a spin-off of <a href="https://socialcatfish.com/" target="_blank" rel="noopener noreferrer">social catfish</a>). Officially made to search for &#8220;stolen&#8221; images, it is quite powerful and different from all the others above. Their algorithm to match pictures, in my opinion, seems to use more shape and colour information than the other engines. I mean, if you reverse search a picture of a blonde woman with green eyes and blue shirt, you will get pictures like that with that engine. The other engines above might give you totally different results of a red-haired guy with green shirt. So whatever those guys at <a href="https://berify.com/" target="_blank" rel="noopener noreferrer">Berify</a> did, I think it is worth to try out this <strong>image search catfish</strong> (use the free trial version). </li>
187</ul>
188<h3>Romance Scam &#8211; Detect fake lovers</h3>
189<p>Very often people are sending pictures from someone who contacted them, by some chat community or partnership platform. They want to know whether this person is for real, or whether it is a so-called &#8220;scammer&#8221;. Using pictures of someone else. This seems to be a big problem called &#8220;<strong>romance scam</strong>&#8220;. A few websites try to help users by searching for images of well-known scammers, by doing a free image search catfish:</p>
190<ul>
191<li><a title="Romance Scam Picture Search" href="http://www.scamdigger.com/picsearch.php" target="_blank" rel="nofollow noopener noreferrer">Scam Digger Pic Search</a><br />
192Beta version using images from Romancescam forums. </li>
193</ul>
194<p>&nbsp;</p>
195<p>Now that this topic is not fully related to face detection, I created a page especially for listing all related tools and resources. If you want to know more about reverse image search, please visit <a href="https://reverseimagesearch.net" title="reverse image searching" target="_blank" rel="noopener noreferrer">Reverse Image Search Resources</a>!<img width="37" height="38" decoding="async" title="Reverse Image Search Engines" src="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%2037%2038'%3E%3C/svg%3E" alt="New site about reverse image search resources and tools" data-lazy-src="/wp-content/uploads/reverse-image-search-engines-new.gif" /><noscript><img width="37" height="38" decoding="async" title="Reverse Image Search Engines" src="/wp-content/uploads/reverse-image-search-engines-new.gif" alt="New site about reverse image search resources and tools" /></noscript></p>
196<hr />
197<p>&nbsp;</p>
198<h2 id="attractiveness">Other interesting demos using face detection / face finders methods:</h2>
199<ul>
200<li><a href="https://www.bing.com/visualsearch" target="_blank" rel="nofollow noopener noreferrer">CelebsLike.Me</a> from Microsoft.<br />
201Which Oscar nominee do you look like? A face matching app from Microsoft using their new deep-learning technology. Upload a photo and you see which 2016 Oscar nominee looks like the person on that pic.</li>
202<li><a href="http://www.torry.net/authorsmore.php?id=6639" target="_blank" rel="noopener noreferrer">Real-time Face Detector 2.0</a> from Alexander Telnykh. Detection of faces in frontal angle on digital photos and in videostream
202s, detection of faces in a tilt perspective. Allows front objects between ±15° from horizontal, detection of faces in profile perspective, demo of Eyes Localization, demo of Face Tracking, demo of skin-color filtering.</li>
203<li><a href="http://www.ifp.illinois.edu/~antonio/Demo/SelectImage.html" target="_blank" rel="noopener noreferrer">Submit face images to the <em>University Illinois</em> online face finder</a></li>
204<li>Drop or upload images to the <a href="http://www.elgom3a.com/post/online-face-detection" target="_blank" rel="noopener noreferrer">ELGOM3A</a> face finder using the <a href="http://trackingjs.com/" target="_blank" rel="noopener noreferrer">tracking.js</a> Javascript library.</li>
205</ul>
206<p>&nbsp;</p>
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286!function o(n,a,c){function l(t,e){if(!a[t]){if(!n[t]){var r="function"==typeof require&&require;if(!e&&r)return r(t,!0);if(u)return u(t,!0);throw(e=new Error("Cannot find module '"+t+"'")).code="MODULE_NOT_FOUND",e}r=a[t]={exports:{}},n[t][0].call(r.exports,function(e){return l(n[t][1][e]||e)},r,r.exports,o,n,a,c)}return a[t].exports}for(var u="function"==typeof require&&require,e=0;e<c.length;e++)l(c[e]);return l}({1:[function(e,t,r){{let r="undefined"==typeof rocket_pairs?[]:rocket_pairs,o=(("undefined"==typeof rocket_excluded_pairs?[]:rocket_excluded_pairs).map(t=>{var e=t.selector;document.querySelectorAll(e).forEach(e=>{e.setAttribute("data-rocket-lazy-bg-"+t.hash,"excluded")})}),document.querySelector("#wpr-lazyload-bg-container"));var a=rocket_lazyload_css_data.threshold||300;let n=new IntersectionObserver(e=>{e.forEach(t=>{t.isIntersecting&&r.filter(e=>t.target.matches(e.selector)).map(t=>{var e;t&&((e=document.createElement("style")).textContent=t.style,o.insertAdjacentElement("afterend",e),t.elements.forEach(e=>{n.unobserve(e),e.setAttribute("data-rocket-lazy-bg-"+t.hash,"loaded")}))})})},{rootMargin:a+"px"});function c(){0<(0<arguments.length&&void 0!==arguments[0]?arguments[0]:[]).length&&r.forEach(t=>{try{document.querySelectorAll(t.selector).forEach(e=>{"loaded"!==e.getAttribute("data-rocket-lazy-bg-"+t.hash)&&"excluded"!==e.getAttribute("data-rocket-lazy-bg-"+t.hash)&&(n.observe(e),(t.elements||=[]).push(e))})}catch(e){console.error(e)}})}c(),(()=>{let r=window.MutationObserver;return function(e,t){if(e&&1===e.nodeType)return(t=new r(t)).observe(e,{attributes:!0,childList:!0,subtree:!0}),t}})()(document.querySelector("body"),c)}},{}]},{},[1]);
287//# sourceURL=rocket_lazyload_css-js-after
288</script>
vendor: 1 bytes, line 288
288
289<script type="text/rocketlazyloadscript" data-minify="1" id="themonic-mobile-navigation-js" data-rocket-src="https://facedetection.com/wp-content/cache/min/1/wp-content/themes/iconic-one/js/selectnav.js?ver=1783546975" data-rocket-defer defer></script>
vendor: 131 bytes, lines 289-290
289
290<script type="text/rocketlazyloadscript" id="google-recaptcha-js" data-rocket-src="https://www.google.com/recaptcha/api.js?render=
2906LcH4EgaAAAAANYv75zslaV9Z0KK6XmP3ko8fpS7
vendor: 25 bytes, line 290
290&#038;ver=3.0"></script>
291<script type="text/rocketlazyloadscript" id="wp-polyfill-js" data-rocket-src="https://facedetection.com/wp-includes/js/dist/vendor/wp-polyfill.min.js?ver=3.15.0"></script>
vendor: 1 bytes, line 291
291
292<script type="text/rocketlazyloadscript" id="wpcf7-recaptcha-js-before">
293var wpcf7_recaptcha = {
294    "sitekey": "6LcH4EgaAAAAANYv75zslaV9Z0KK6XmP3ko8fpS7",
295    "actions": {
296        "homepage": "homepage",
297        "contactform": "contactform"
298    }
299};
300//# sourceURL=wpcf7-recaptcha-js-before
301</script>
vendor: 1 bytes, line 301
301
302<script type="text/rocketlazyloadscript" data-minify="1" id="wpcf7-recaptcha-js" data-rocket-src="https://facedetection.com/wp-content/cache/min/1/wp-content/plugins/contact-form-7/modules/recaptcha/index.js?ver=1783546975" data-rocket-defer defer></script>
vendor: 1 bytes, line 302
302
303<script type="text/rocketlazyloadscript" id="shariffjs-js" data-rocket-src="https://facedetection.com/wp-content/plugins/shariff/js/shariff.min.js?ver=4.6.22" data-rocket-defer defer></script>
vendor: 1 bytes, line 303
303
304<script>window.lazyLoadOptions=[{elements_selector:"img[data-lazy-src],.rocket-lazyload,iframe[data-lazy-src]",data_src:"lazy-src",data_srcset:"lazy-srcset",data_sizes:"lazy-sizes",class_loading:"lazyloading",class_loaded:"lazyloaded",threshold:300,callback_loaded:function(element){if(element.tagName==="IFRAME"&&element.dataset.rocketLazyload=="fitvidscompatible"){if(element.classList.contains("lazyloaded")){if(typeof window.jQuery!="undefined"){if(jQuery.fn.fitVids){jQuery(element).parent().fitVids()}}}}}},{elements_selector:".rocket-lazyload",data_src:"lazy-src",data_srcset:"lazy-srcset",data_sizes:"lazy-sizes",class_loading:"lazyloading",class_loaded:"lazyloaded",threshold:300,}];window.addEventListener('LazyLoad::Initialized',function(e){var lazyLoadInstance=e.detail.instance;if(window.MutationObserver){var observer=new MutationObserver(function(mutations){var image_count=0;var iframe_count=0;var rocketlazy_count=0;mutations.forEach(function(mutation){for(var i=0;i<mutation.addedNodes.length;i++){if(typeof mutation.addedNodes[i].getElementsByTagName!=='function'){continue}
305if(typeof mutation.addedNodes[i].getElementsByClassName!=='function'){continue}
306images=mutation.addedNodes[i].getElementsByTagName('img');is_image=mutation.addedNodes[i].tagName=="IMG";iframes=mutation.addedNodes[i].getElementsByTagName('iframe');is_iframe=mutation.addedNodes[i].tagName=="IFRAME";rocket_lazy=mutation.addedNodes[i].getElementsByClassName('rocket-lazyload');image_count+=images.length;iframe_count+=iframes.length;rocketlazy_count+=rocket_lazy.length;if(is_image){image_count+=1}
307if(is_iframe){iframe_count+=1}}});if(image_count>0||iframe_count>0||rocketlazy_count>0){lazyLoadInstance.update()}});var b=document.getElementsByTagName("body")[0];var config={childList:!0,subtree:!0};observer.observe(b,config)}},!1)</script>
307<script data-no-minify="1" async src="https://facedetection.com/wp-content/plugins/wp-rocket/assets/js/lazyload/17.8.3/lazyload.min.js"></script>
307<script>function lazyLoadThumb(e,alt,l){var t='<img data-lazy-src="https://i.ytimg.com/vi/ID/hqdefault.jpg" alt="" width="480" height="360"><noscript><img src="https://i.ytimg.com/vi/ID/hqdefault.jpg" alt="" width="480" height="360"></noscript>',a='<button class="play" aria-label="Play Youtube video"></button>';if(l){t=t.replace('data-lazy-','');t=t.replace('loading="lazy"','');t=t.replace(/<noscript>.*?<\/noscript>/g,'');}t=t.replace('alt=""','alt="'+alt+'"');return t.replace("ID",e)+a}function lazyLoadYoutubeIframe(){var e=document.createElement("iframe"),t="ID?autoplay=1";t+=0===this.parentNode.dataset.query.length?"":"&"+this.parentNode.dataset.query;e.setAttribute("src",t.replace("ID",this.parentNode.dataset.src)),e.setAttribute("frameborder","0"),e.setAttribute("allowfullscreen","1"),e.setAttribute("allow","accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture"),this.parentNode.parentNode.replaceChild(e,this.parentNode)}document.addEventListener("DOMContentLoaded",function(){var exclusions=[];var e,t,p,u,l,a=document.getElementsByClassName("rll-youtube-player");for(t=0;t<a.length;t++)(e=document.createElement("div")),(u='https://i.ytimg.com/vi/ID/hqdefault.jpg'),(u=u.replace('ID',a[t].dataset.id)),(l=exclusions.some(exclusion=>u.includes(exclusion))),e.setAttribute("data-id",a[t].dataset.id),e.setAttribute("data-query",a[t].dataset.query),e.setAttribute("data-src",a[t].dataset.src),(e.innerHTML=lazyLoadThumb(a[t].dataset.id,a[t].dataset.alt,l)),a[t].appendChild(e),(p=e.querySelector(".play")),(p.onclick=lazyLoadYoutubeIframe)});</script>
307</body>
308</html>
309<!-- This website is like a Rocket, isn't it? Performance optimized by WP Rocket. Learn more: https://wp-rocket.me - Debug: cached@1790387832 -->

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.