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Face Match 1:1

Face Match is a verification technology that compares a selfie with an ID document photo to validate identity, preventing fraud and strengthening KYC/AML compliance with high accuracy.

Recognizing who is real and who is not is becoming more difficult every day

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Fraud-proof verification

Achieve 99.9% accuracy and <0.1% false acceptance to meet compliance and prevent identity fraud.

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Advanced facial analysis

Neural networks map 68 facial points, ensuring thorough identity verification that satisfies regulatory requirements.

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Customizable security

Adjust verification strictness to your risk and compliance needs, supporting IDs from any jurisdiction.

Biometric Identity Confirmation

Face Match Process

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.

What Your User Sees

A frictionless and intuitive identity verification process that your users will love.

Biometric Authentication

Securely authenticate returning users in seconds. The process combines a Liveness Check to prove the user is physically present with a Face Match against their initial verified identity. This passwordless method eliminates friction and is your strongest defense against account takeover (ATO) fraud.

Integrate easily through No-Code or API

Total Control with Granular APIs

Build fully custom workflows by calling individual verification services. Get immediate, synchronous JSON responses to integrate compliance checks exactly where you need them.

Request: Face Match
1curl --request POST \ 2 --url https://verification.didit.me/v2/face-match/ \ 3 --header 'accept: application/json' \ 4 --header 'content-type: multipart/form-data' \ 5 --header 'x-api-key: YOUR_API_KEY' \ 6 --form user_image='@image.jpg' \ 7 --form ref_image='@image.jpg'

Send a direct API request with the required data, such as a name for an AML check or a document image for verification.

See Your Savings in Real-Time

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.

100,000
0100,000+

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.

Free

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.

$0.04
$0.05

per verification finished

Frequently Asked Questions

We’re here to help. If you have any questions, please don’t hesitate to contact us.