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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
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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.

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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.

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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.

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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

PRO

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.

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Dedicated support 24/7

AML Screening

Screen users instantly against global sanctions and watchlists.

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Proof of Address Illustration

Proof of Address

Verify user residency with automated document verification.

Phone Verification

Verify users phone number with real-time carrier checks.

Phone Verification UI

Age Estimation

Estimate user age through advanced facial analysis.

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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.

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

Vuk Adžić

Head of the E-Business Department at Crnogorski Telekom

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

Fernando Pinto

CEO & CoFounder at TucanPay

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

Diana Garcia

Trust & Safety Executive at Shiply

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

Guillem Medina

COO at GBTC Finance

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

Paul Martin

VP Marketing & Growth at Bondex

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

Cristofer Montenegro

Executive assistant to the CEO at Adelantos

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

Ernesto Betancourth

Gerente de riesgos at CrediDemo

Full transparency

Frequently Asked Questions

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.

Our AI-powered system creates a unique biometric template by mapping dozens of distinct facial landmarks (like the distance between eyes, shape of the nose, and jawline) from both the ID photo and the user's selfie. Advanced algorithms then compare these templates to calculate a highly accurate similarity score, confirming the identity in seconds.

It's your best defense against sophisticated identity fraud, including synthetic identities and stolen document usage. By ensuring the person presenting an ID is its rightful owner, you protect your business from financial loss, reduce customer acquisition fraud, and satisfy stringent KYC/AML regulatory requirements with a fully auditable process.

Our technology achieves industry-leading accuracy with a False Acceptance Rate (FAR) of less than 0.1%, meaning it is extremely unlikely to incorrectly match a fraudster to a legitimate ID. It generates a precise similarity score (0-100%) for every comparison, giving you a clear, data-driven basis for every verification decision.

Absolutely. You have full control to customize the similarity score threshold (e.g., 75%, 85%) to match your specific risk appetite. This flexibility allows you to create a frictionless experience for low-risk scenarios while applying maximum security for high-value transactions.

Our AI models are trained on massive, diverse datasets to be highly resilient to real-world variations. The system is robust against changes in lighting, facial hair, makeup, and the presence of glasses, ensuring high accuracy and minimizing false rejections for legitimate users.

Every verification generates a comprehensive, immutable report. This includes the final decision (match/no match), the exact similarity score, and a visual similarity matrix. This provides a complete and tamper-proof audit trail essential for regulatory compliance and dispute resolution.

They work as a powerful security duo. Liveness Detection first ensures the selfie is from a real, live person who is physically present, blocking spoofs like photos or deepfakes. Then, Face Match 1:1 confirms that this verified live person is the same individual pictured on the official ID document. This layered approach provides maximum identity assurance.

Yes. High-accuracy Face Match 1:1 is a core component of our identity verification process and is included completely free within our Workflows as part of our Free Core KYC plan. We believe foundational security shouldn't be a premium add-on.