Face Comparing

Perform 1:1 Comparison with Face Comparing API

Use our Face comparison API for Identity based payments, security based access/deny systems, onboarding and eKYC.

Check the possibility of two faces refers to the same person. Result provides the confidence score and threshold value to decide the similarity. The Face Compare API compares two faces and determines if they belong to the same person. When the images are run through the Face Compare API, both of the faces are converted to Face Vector templates and the Euclidian distance is calculated. The Euclidian distance result is then transformed using a function to a confidence value which is reflected by the Face Compare API in its reply.

Benefits of Face Comparing

Compare the similar-looking faces in a database or a video stream and then group or cluster them together.

Comparer faces in your database

Integrate face compare into your app

A state-of-the-art deep learning model

Why our Face Compare ?

We have developed AI-based technology platform. With our robust and reliable face detector, along with our deep learning-based face recognition technology, you can start comparing faces with ease!

Protection against Fake Face Attacks

High Accuracy in Real-time

Designed for Face-based User Verification application

Ideal for Person Identification with ID photos

Why Our Face Detection

Face Comparing Demo

Try Face Comparing by uploading stored images. If you have any particular technical requirements, check the guide below or contact us.

Image First:


Image Second:


Test this API by uploading a local image (Supports only JPG, JPEG, PNG, BMP file). In case you have any technical problem, please contact us for a demo.Contact

Results

Response JSON

Image Upload Guidelines

  • Not less than 45 degrees face up and 30 degrees face down.
  • The yaw should be less than 45 degrees in either direction.
  • Use an image of a face with both eyes open and visible.
  • Use an image of a face that is not tightly cropped.
  • Avoid items that block the face, such as headbands and masks.
  • Image resolutions up to 1920 x 1080.
  • Use images with flat lighting on the face, without shadows.