Face Match 1:1

One face, one match.

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.

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Why we do what we do

Businesses require robust facial recognition systems to combat fraud

Identity theft occurs every 22 seconds with fraud rising 12% annually. With 30% of cases using synthetic identities and 70% occurring digitally, facial verification is essential to prevent regulatory penalties and protect reputation.

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

Fraud-proof verification

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

Advanced facial analysis

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

Customizable security

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

Common Face Match 1:1 use cases

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Compliance

Seamless remote customer onboarding

Enable users to open accounts from anywhere by verifying their selfie against official ID, ensuring fast, secure KYC compliance.

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Protection

Approve only legitimate account openings

Compare live photos with IDs to ensure only genuine users complete onboarding, reducing manual review and risk.

Reliability

Automate KYC for faster customer access

Verify identity fast, giving real customers instant access while flagging suspicious attempts for review.

Secure identity verification

Protect your business from fraud and compliance risks with instant, privacy-first face matching.

Match what matters

1:1 Face Match.
Know exactly who’s there.

Flexible workflow integration

Supports ID-based, biometric authentication, or direct API workflows. Accepts live and reference photos from various sources, adapting to your onboarding process.

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Automated face comparison

The system extracts the best-quality image from the ID and pairs it with a live selfie, validating both before biometric comparison.

Customizable matching criteria

Set similarity thresholds and receive a detailed score and clear result—match, no match, or manual review—tailored to your risk profile.

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Step into

Unlock full verification, real-time screening, and smart compliance tools. Everything you need to onboard users, assess risk, and stay ahead—seamlessly.

White-Label

Deliver a fully branded experience with your logo, colors, and domain.

Ongoing AML Monitoring

Keep users continuously screened after onboarding and get automatic alerts.

Dedicated support 24/7

AML Screening

Screen users instantly against global sanctions and watchlists.

Proof of Address

Verify user residency with automated document verification.

Phone Verification

Verify users phone number with real-time carrier checks.

Age Estimation

Estimate user age through advanced facial analysis.

Biometric Authentication

Re-verify returning users with secure biometric checks.

Advanced analysis

Why choose Didit for Face Match 1:1?

Didit's Face Match 1:1 delivers 99.9% accuracy by comparing 68 facial points, providing instant, automated verification, configurable risk thresholds, and detailed reporting for seamless, scalable KYC/AML compliance.

Some reviews

Trusted by 1.000+ clients

We don’t claim that Didit is the most powerful verification platform on the market — but over a thousand companies like yours who’ve already integrated us might say otherwise.

Vuk Adžić

Head of the E-Business Department at Crnogorski Telekom

Didit is an exceptionally valuable partner, delivering a stable and highly adaptable solution”.

Fernando Pinto

CEO & CoFounder at TucanPay

Didit offered us a robust technology with a simple implementation and adaptability to different markets”.

Diana Garcia

Trust & Safety Executive at Shiply

Thanks to Didit we have been able to reduce manual processes and improve data extraction accuracy”.

Guillem Medina

COO at GBTC Finance

Didit’s integration slashed verification times and costs, freeing resources for other projects”.

Paul Martin

VP Marketing & Growth at Bondex

Didit removed KYC costs, enabling faster scaling with high verification standards and less fraud.”

Cristofer Montenegro

Executive assistant to the CEO at Adelantos

Didit’s secure, user-friendly verification boosts customer trust and optimizes our process.”

Ernesto Betancourth

Gerente de riesgos at CrediDemo

Didit ensures a precise, secure digital onboarding without slowing negotiations or client time.”

Full transparency

Frequently Asked Questions

Leading the way in identity verification worldwide

Face Match 1:1 is a technology that carefully compares two facial images to confirm they belong to the same individual, providing strong identity assurance. Depending on the specific scheme, this process can be:

• A real-time/liveness selfie—high quality image from a liveness check, paired with the photo from an ID document.
• Check a photo identity to the user: compare original structured photo reference to a previous-approved liveness check (known user check-in).
• Images directly uploaded via API, where one is a face picture and the other is a liveness/photo.

In every scenario, the core purpose is to verify that two faces are indeed those of the same person.

Face Match 1:1 works by extracting 68 unique facial points from both the ID document and user's selfie. It then measures 68 facial landmarks covering concepts features like eyes, nose, mouth, and jawline. These points are analyzed using proprietary algorithms that calculate the distance and angles between features, producing a similarity score that quantifies the match confidence.

Face Match 1:1 significantly reduces identity fraud by producing a similarity score that clearly identifies genuine users from imposters. It ensures a consistent, auditable verification process that satisfies regulatory requirements. Consistent verification protects these sensitive business actions and ensures compliance with evolving human oversight.

Didit’s Face Match 1:1 has industry-leading, with a 99.9% acceptance rate under 0.1%. The technology produces a specific similarity score for each match, allowing you to choose the risk threshold that best fits your compliance policies.

Yes. The similarity score threshold can be customized to your risk appetite. For standard verification, thresholds of 65–75% are common, while high-security applications may require 80% or above. Didit’s platform allows you to configure these settings and provides detailed reporting for every verification.

The verification report includes the similarity match, score, match or mismatch, review/uploaded, and/or a similarity matrix as a visual snapshot. All images and results are securely logged (with full traceability), ensuring you have a complete audit trail for compliance and dispute resolution.

Face Match 1:1 is designed for instant results. The whole process, including all liveness safety checks, works within seconds. This rapid turnaround supports seamless onboarding and real-time monitoring among security standards.

No manual review is required for standard Face Match 1:1; it’s fully-automated except for compliance teams who review the verification logs or dispute cases. However, Didit’s platform supports optional manual review for additional oversight, if your compliance policy requires it.

Liveness detection works together with Face Match 1:1 to prevent spoofing and ensure real person workflow. While liveness confirms the selfie is captured in real time and not a reproduction, Face Match 1:1 verifies the selfie matches the photo of ID document. These technologies work together: liveness first, then ID or verification workflow to provide layered security.