Face Matching SDK

OCR Studio’s Face Matching SDK is an ultra-lightweight solution that protects businesses from spoofing attacks when fraudsters attempt to use stolen IDs or leaked ID images during KYC and customer onboarding across both online and offline service channels. SDK supports multiple face matching scenarios: selfie-to-ID, chip-to-selfie, face-to-face, ID-to-ID, and more. It can compare a live selfie with the portrait in an identity document or in the RFID/NFC chip, match a customer’s face image with a stored profile photo within the company’s infrastructure, or verify whether portraits from two different ID documents belong to the same person.

Face Matching SDK can be seamlessly combined with Passport OCR SDK, Driver License OCR SDK, ID & Residence Permit OCR SDK, and many other OCR Studio products. The solution supports ID documents from 250+ countries and territories in 100+ languages, which allows businesses to build a secure digital onboarding for emerging markets.

Which Face Matching Use Cases Does OCR SDK Support?

Selfie-to-ID

Used to confirm that the person passing verification is the legitimate holder of the identity document. The user takes a selfie or short video with the ID, and the system compares the face image with the portrait extracted from the ID document by the OCR SDK, returning a similarity score.

Face-to-face

Used to verify a customer against an existing face image in the company’s internal records, for example during in-branch service or repeat customer checks. SDK compares the customer’s current face image with a stored profile photo without extracting biometric descriptors or accessing external biometric databases.

ID-to-ID

Used to confirm that two identity documents refer to the same person, for example when comparing a passport, driver license, or residence permit with the ID scan in the company’s internal records. The system compares the portraits extracted from both documents by the ID OCR SDK without storing or transmitting ID data elsewhere.

Chip-to-selfie

Used to confirm that the customer’s live selfie matches the document holder’s photo stored in the RFID/NFC chip. This adds an extra verification layer across online and offline service channels for users presenting ePassports and other chip-enabled identity documents.

Chip-to-ID

Used to verify that the portrait displayed in the identity document matches the document holder’s photo stored in the RFID/NFC chip. This helps detect attacks where the ID portrait has been replaced, AI-generated, morphed, or otherwise manipulated.

Selfie-to-ID-to-chip

Used to confirm that the customer’s live selfie matches both the visible portrait in the identity document and the document holder’s photo stored in the RFID/NFC chip. This provides an enhanced protection layer by verifying face consistency across three separate sources.

On-Premise SDK for Instant Face Matching

Online and Offline Verification

SDK performs face matching across remote and in-person service channels, supporting digital onboarding, in-branch verification, and repeat customer checks.

International Identity Verification

Combined with Arabic OCR SDK, Chinese OCR SDK, Japanese OCR SDK, and other modules, the solution enables secure multi-country KYC.

Optimized Performance

Designed for rapid face matching in real-world conditions on both low-end and mid-range smartphones.

Bias-Resistant Matching

Designed to perform reliably across different genders, skin tones, and facial features, allowing international identity verification.

Low User Effort

SDK performs face image comparison from a single photo, whether the source is a selfie or an ID portrait.

NFC Chip Photo Cross-Check

Face Matching SDK allows to compare an ID photo or a customer selfie with the image stored in the RFID/NFC chip for additional security.

Explainable AI Output

ID verification SDK returns a similarity score and confidence level instead of a simple binary “match / no match” result.

Regulation-Ready

GDPR-compliant SDK built to meet many other stringent data protection standards.

On-Premise SDK for Instant Face Matching

Frequently Asked Questions

When is face matching required?

Face matching is required when businesses need to confirm that the person presenting an identity document is its legitimate holder or matches an existing customer record. There are several face matching scenarios: selfie-to-ID checks for remote onboarding, face-to-face comparison for in-branch customer verification, and ID-to-ID matching when portraits from two different identity documents need to be compared to confirm that they refer to the same person.

What is Face Matching SDK?

Face Matching SDK is an ultra-lightweight solution for secure selfie-to-ID, face-to-face, and ID-to-ID verification on any mobile device. The technology is engineered for global KYC platforms to prevent spoofing attacks and impersonation attempts when malefactors try to use stolen IDs or leaked ID images. SDK performs face matching without extracting biometric descriptors, storing biometric templates, or accessing external biometric databases, making it easier to comply with stringent personal data protection requirements.

Which identity documents does OCR SDK support?

When performing selfie-to-ID or ID-to-ID matching, OCR SDK supports identity documents of any format, including passports, driver licenses, ID cards, and residence permits. In total, the solution recognizes IDs issued in 250+ countries and territories. Combined with such modules as Arabic ID OCR, Chinese resident ID OCR, Thai ID card OCR, and more, it allows businesses to build reliable KYC for emerging markets.

Are selfies and ID images sent to external servers?

No. On-premise SDK does not require customer selfies or ID images to be sent to external servers, clouds, or crowdsourcing platforms for processing. The system runs directly on mobile devices, desktops, or company’s servers, ensuring full data locality and reducing privacy and security risks.

How does SDK help businesses meet regulatory requirements?

Face Matching SDK enhances regulatory compliance through on-premise / on-device selfie and ID image processing. Face matching is performed directly on the user’s smartphone, tablet, desktop, or within the company’s secure infrastructure, helping businesses meet GDPR, CCPA, and local data privacy standards, which is relevant for international identity verification purposes.

Does SDK need internet access?

No. Offline SDK works without internet access as it does not rely on external computing resources — clouds or crowdsourcing platforms. This ensures full control over user privacy and guarantees seamless user experience even when the internet connection is not stable.

Does Face Matching SDK require perfect capture conditions?

No. Face Matching SDK is designed to perform reliably in real-world verification scenarios, even when capture conditions are far from ideal. The system works consistently when the user captures an ID document by hand, when the document is positioned at an angle, or when the image contains poor lighting, glares, or reflections on the document surface. SDK is also designed for bias-resistant matching across different genders, skin tones, and facial features, enabling businesses to run digital onboarding across emerging markets.

Which platforms support Face Matching SDK?

Face Matching SDK runs on Android, iOS, Windows, Linux, and in web browsers through the WebAssembly technology. The solution enables precise selfie-to-ID, face-to-face, and ID-to-ID checks across all platforms. Developers can integrate it using C++, C#, Java, Python.

Which Face Matching Use Cases Does OCR SDK Support?

On-Premise SDK for Instant Face Matching

Face Matching SDK Supports All Types of ID Documents

OCR Studio Demo Application

Frequently Asked Questions

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