ID to Face Verification

Say goodbye to the hassle of training your own machine learning models. At ID Analyzer, we utilize cutting-edge deep learning models to accurately detect and verify faces in identity documents. With the added flexibility of a tunable threshold, you can swiftly confirm the identity of your users in mere seconds by comparing their selfie photo with their government-issued documents. This seamless integration of advanced technology ensures a quick and reliable verification process, enhancing the security and efficiency of your operations.

Liveness Check & Facial Expression Detection

ID Analyzer's advanced deep learning models are designed to meticulously check the liveness of user-submitted photos and videos, ensuring that they represent real individuals rather than printed materials attempting to deceive the system. Our comprehensive DocuPass identity verification solutions incorporate a real-time face expression detector that tracks user emotions. To successfully pass our rigorous biometric validation process, users undergoing verification are required to display varying facial expressions, such as transitioning from a neutral look to a happy face. This sophisticated approach adds an additional layer of security, making it extremely challenging for impostors to bypass our system and providing you with the confidence that your verification processes are robust and effective.

Video & Voice Biometric Verification

Under some circumstances, it may be insufficient to compare the facial features based on still photo. To enhance security, we allow all our users to utilize video facial match feature, ID Analyzer will calculate a similarity score based on the person inside a video against the photo on identification document. To further improve security, users are required to pronounce their birthday year, and our voice recognition technology will verify the spoken birthday against the birthday on the document.

Stand-alone APIs

We also offer stand-alone APIs for face validation, our simple APIs allows you to compare whether two faces belongs to the same person, and performing liveness check to prevent representation attack on any given photo.