The Benefits
Achieve 99.9% accuracy and <0.1% false acceptance to meet compliance and prevent identity fraud.
Neural networks map 68 facial points, ensuring thorough identity verification that satisfies regulatory requirements.
Adjust verification strictness to your risk and compliance needs, supporting IDs from any jurisdiction.
How it Works

This process biometrically confirms a user is the legitimate owner of their ID. It requires two inputs: a reference image (extracted from the ID document) and a live image (from the Liveness step). Our AI creates a unique biometric template from each face by mapping key facial landmarks, then calculates a precise similarity score. This score is checked against a configurable threshold you set in the Didit Console to return an instant 'Match' or 'No Match' result, providing a complete audit trail.
SEAMLESS USER EXPERIENCE
Every interaction is real-time. We've optimized every millisecond through extensive A/B testing and inference optimization — delivering the highest completion rates and fastest verification times in the industry.
Let users authenticate with their face. Secure, fast, and frictionless authentication.
THE EASIEST TO INTEGRATE
Use Didit with no code or with a single API call. Go live in minutes.
Key points
Pricing Calculator
Discover your true verification costs with our transparent calculator. Select the premium services you need, estimate your volume, and see how Didit's pay-per-success model with free core KYC delivers unmatched value. No hidden fees, no surprises.
When used in Verification Links / Workflows
Automatically compares the user's live selfie against the photo from their ID document, biometrically confirming they are the legitimate owner of the identity.
When used in Standalone API
Send two facial images directly to our API and receive an instant, highly accurate similarity score. Ideal for backend processes or building custom re-authentication flows where you manage the image sources.
FULL TRANSPARENCY
Leading the way in identity verification worldwide
Face Match 1:1 is a critical security technology that biometrically compares two facial images to confirm they belong to the same person. Typically, it compares a user's live selfie against the photo on their government-issued ID, providing high-assurance proof of identity to prevent impersonation fraud.