Search engines have improved a lot since their introduction in the 1990s. And now to add to the existing search engines for information, images and videos, we also have facial recognition powered by a powerful AI that has improved the accuracy of image search immensely. There are plenty of search engines to help you with getting results according to particular needs, and here we list out the top 11 face recognition search engines.
Google Face Recognition
Google Face Recognition is one of the best image search engines available. You’re only required to upload an image, which can be done by clicking on the camera icon in the search bar. If you wish to run a refined search, type “&imptype=face” in the search bar. It uses the same technology that is used when we search for an image on Google — Google reverse search.
You can find Google Face Recognition here.
TinEye Reverse Image Search
With a database of more than 12 billion images, TinEye reverse image search engine is easy to use. To search for images, you have to upload an image or a link of the picture on the search bar. This search engine is quick and provides relatively good results.
You can find TinEye Reverse Image Search here.
Yandex Reverse Image Search
One of the largest Russian image search engines, Yandex offers a reverse image match by just uploading an image. It has proved itself to be one of the fastest search engines for facial recognition.
You can find Yandex Reverse Image Search here.
BetaFace provides an advanced level of facial recognition technology but for a price. It is one of the best facial recognition search engines in the industry, as it provides features that no other search engine offers. It inspects a face and provides results with gender, age, and more details.
You can also process multiple images via the batch processing tool, which will produce results in a tabular form for face recognition.
You can find BetaFace here.
Developed by Microsoft, Face uses facial recognition to identify people and categorise them into different gender, age and other criteria. It also uses Artificial Intelligence to produce relevant results. The Face website has also been updated by Microsoft to reduce the error in this technology of facial recognition.
You can find Face-Microsoft Azure here.
This search engine performs face matching online and also performs various tasks like matching up two different photos. It uses facial recognition technology to search online databases such as Google images and other websites to produce accurate results. It focuses on the faces in the photos when matching two images.
You can find PicWiser here.
EyeEm is for photographers. It is available on social media platforms as well. EyeEm analyses captions and tags and automatically taps into tags, increasing the reach of your image. It can also help in choosing the best picture by aesthetic rating. EyeEm can also be trained to identify different styles according to one’s need.
You can find EyeEm Vision here.
It works like Google Reverse Image Search, which uses facial recognition technology to inspect images from over 10 million websites to produce results.
You can find PimEyes here.
NeoFace Watch can take out faces from a video in real-time, which can be helpful in video surveillance system and matching with the watch list.
You can find NeoFace Watch here.
FindFace is the largest Russian social network that can discover anyone on VK.com just by uploading an image. You need to log in VK account, grant permission and upload an image, which should not be larger than 5 MB in size.
You can find FindFace here.
Image Raider uses Google, Bing and Yandex search engines for the image search. It uses the IncandescentAPI for its searcing process. It is easy to work with, even if you use a mobile.
However, as pointed out in the caption of the image above, we recommend staying away from the website for now as it might be unsafe.
You can find Image Raider here.
A BTech student whose interest lies in automobiles, tech, music, coding and badminton.