Trusted by +1000 companies worldwide
Matching accuracy
(Extremely low false acceptance)
Comparison time
(Real-time result)
Included in Core KYC
(Unlimited usage)
HOW IT WORKS
WHY DIDIT FACE MATCH
Didit Face Match uses state-of-the-art biometric models trained on diverse, real-world data. This delivers high accuracy with extremely low false acceptance, even in challenging conditions.
Face Match is most powerful when combined with Liveness, NFC verification, and fraud signals. Together, they prevent spoofing, replay attacks, and identity impersonation.
Use Face Match inside KYC, biometric authentication, or standalone flows. Match against IDs, NFC chip photos, or your own reference images — all via workflows or direct API access.
Face Match 1:1 is included free and unlimited in Core KYC. No contracts, no usage caps, and no surprise fees — just strong security by default.
Full TRANSPARENCY
No 🛠️ setup fees. No 💸 minimums. No 🎊 surprises. Just crystal-clear pricing ✨ charged only after finished verifications.

THE EASIEST TO INTEGRATE
Use Didit with no code or with a single API call. Go live in minutes.
Key points
TRUSTED WORLDWIDE
Join thousands of companies that trust Didit for their verification needs
FACE MATCH FAQ
Face Match is a biometric process that compares two facial images to determine whether they belong to the same person. It is commonly used to verify that a live user matches a trusted reference image.
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