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Regula Face SDK

Match Every ID to the Person Presenting It

Regula Face SDK is a biometric verification solution for face ID verification, liveness detection, face matching, and face identification.

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97% customer satisfaction (G2)
99.75% proven detection accuracy
<1 sec liveness check processing time

Built to Protect. Ready to Scale

Regula Face SDK confirms the real person behind every interaction with secure facial biometrics.

  • Stop Identity Fraud

    Prevent identity fraud with advanced biometric verification and liveness.

  • Verify with Confidence

    Match faces across IDs, selfies, and databases with fast, accurate comparison.

  • Scale with Ease

    Deploy high-performance verification across cloud and enterprise environments.

Regula Face SDK Features

Regula Face SDK verifies a person’s identity using facial biometrics. Businesses use it to confirm that the person applying for an account, completing a transaction, or checking in is the same person shown on their ID document - and that they are physically present.

Liveness detection

Liveness detection

Active and passive liveness checks, iBeta-certified at PAD Level 1 and Level 2 under ISO/IEC 30107-3.

Face image quality assessment

Face image quality assessment

Checks 45 image quality parameters against ICAO 9303 and ISO/IEC 19794 standards.

Age estimation and verification support

Age estimation and verification support

Estimates an age range from a face image and supports additional document-based age verification.

Face matching and identification

Face matching and identification

Performs 1:1 face matching against a document portrait, RFID chip image, or external database, and supports 1:N face identification.

Trusted by Organizations that Can’t Afford to Get Identity Wrong

Explore customer success stories

How It Works

Face Capture

The user takes a selfie or portrait. Regula Face SDK guides the user to position their face correctly.

Face Capture

Quality assessment

SDK checks pose, lighting, glare, shadows, head position, and face size to select the best frame automatically.

Quality assessment

Liveness detection

Active or passive liveness detection to check that the user is physically present.

Liveness detection sdk

Face matching

The captured face is compared to a reference: a portrait from an ID document, an image stored in an RFID chip, a selfie taken at a previous step, or a record from your database.

Face matching

Orchestrate

The result is passed to the business workflow or route users through automated decision-making based on surfaced insights.

Orchestrate

Extensively Tested and Certified by Third Parties

  • PAD Level 1&2 ISO 30107-3

    PAD Level 1&2 ISO 30107-3

  • Top 3 FRVT age assurance

    Top 3 FRVT age assurance

  • Privacy by default

    Privacy by default

  • ISO 9001

    ISO 9001

  • BSI TR-03105 Teil 5.1, BSI TR-03105 Teil 5.2

    BSI TR-03105 Teil 5.1

    BSI TR-03105 Teil 5.2

How Regula Protects Against 
Biometric Fraud?

Biometric fraud attempts are growing in volume and sophistication. Regula Face SDK is designed to detect and reject the full spectrum of presentation attacks:

Digital images and masks

Digital images and masks

static images held up to the camera

Screen replays

Screen replays

video played from a phone or tablet

Video injection attacks

Video injection attacks

synthetic video fed directly into the camera stream

AI-generated deepfakes

AI-generated deepfakes

faces created or swapped using generative models

3D masks & silicone replicas

3D masks & silicone replicas

physical forgeries designed to fool depth sensors

Customer Proof

Regula is trusted by organizations that need reliable identity verification, document authentication, and biometric checks at scale.

quote

As part of our strategy to fully digitize the airline, we aim to provide a seamless travel process for our guests. The digital and contactless procedure, which includes online check-in anywhere, anytime with a mere click of a button, is a strong way to restore confidence in air travel. The solution provided by Regula greatly complements our overall vision to become a leading travel and lifestyle super app and our transformation strategy to automate across all key customer touch points.

Kesavan Sivanandam

Chief Airport and Customer Experience Officer, Airasia

quote

We used Regula to support us in the challenging task of migrating thousands of our customers to the new network. The tool was very reliable and delivered as per the expectations. We are using Regula SDK for activating new customers, network portability, sim change, and many other operations. Our team is relying on the Regula tool in many of our processes and this has resulted in disabling the manual editing of the readings since it is not required anymore.

Elias Maalouf

Technical Director, FRiENDi Mobile

quote

SEF Mobile has become an essential tool to increase the efficiency and safety of SEF inspectors on the various land border posts. Simply and instantly, it allows the gathering and validation of a set of data from several identifying documents, without the need for physical contact between said documents and the inspectors.

Erica Santos

SEF Official

quote

Regula’s invaluable expertise and know-how play a key part at LCX to prevent identity document fraud and deliver a frictionless customer experience.

Monty Metzger

Founder and CEO, LCX

quote

Regula SDK is a cornerstone of this project. It makes travelling easier for passengers, increasing their loyalty and satisfaction. It helps us avoid errors associated with manual typing of personal data. It simplifies a number of vital procedures that the company is now revising.

Roland Tischner

Officer Wizz Air Hungary Operations

quote

Regula Document Reader SDK lies at the core of Luciditi platform––it is responsible for fast and convenient remote user onboarding and reverification, in case an ID is expired or replaced. We are truly satisfied with the Regula solution,” he continues. Our market research showed that it’s the most comprehensive ID verification technology for our requirements, which gives us the needed level of assurance of our own product quality.

Philip Young

CTO and co-founder of Arissian, creator of Luciditi

quote

For flagship events like MWC Barcelona, the GSMA looks for cutting edge solutions to not only show technology at its best, but also to support their event security requirements. Regula offers an effective ID reading solution that allows GSMA to be more efficient and supports the improvement of the overall customer experience.

Wieke Sjahrir

Head of Event Technology, GSMA

quote

Regula appeared to be the best solution for Freedom Finance Insurance needs. The solution helps to eliminate typos and decreases document processing time. Service support is prompt and accurate.

Artur Protsenko

Head of System Administration and Support Department, Freedom Finance Insurance

quote

We pride ourselves on operating to the highest standards around test security. One of the challenges we faced was designing an efficient process to validate IDs as authentic and valid – no matter which country in the world they come from. Regula’s technology offers global coverage and fast verification of government-issued identification documents. With Regula, not only have we enhanced our fraud prevention process, but we continue to offer a consistent candidate experience.

Farzana Ashraf

CTO & SVP, Products & Services, Pearson VUE

quote

Digital Advertising is ripe for a change. Big tech exploits user data, and click fraud is estimated to grow into an $87 billion business in 2021. The major platforms grade their own homework, so to speak, and advertisers are getting the short end of the stick. Too often, the ads they pay to deliver are not even being seen. Permission is bringing the change this industry needs by respecting user data and by delivering to advertisers superior targeting and better ROI on their considerable spend.

Charles Silver

CEO, Permission.io.

quote

At Pegasus Airlines our number one priority is to ensure our passengers have the very best customer experience. Working with Regula and their understanding of this market, coupled with their software knowledge helps us to achieve this from the 1st step of the passenger’s journey.

Erdinc Ugurlu

Vice President of Technology, Pegasus Airlines

Regula Face SDK Works Cross-Platform

Skip integration headaches and cut development time. With ready-to-run Linux, Windows, and Docker packages, clear docs, and code samples, you can launch faster—whether building a new app or enhancing an existing one.

Mobile
iOS face recognition
iOS
Android face recognition
Android
face recognition Flutter
Flutter
face recognition React Native
React Native
face recognition Ionic
Ionic
face recognition Cordova
Cordova
face recognition .NET MAUI
.NET MAUI
Web
Storybook
Components
JavaScript
Java
Python
C#
A Sandbox to Explore Face Biometrics

A Sandbox to Explore Face Biometrics

Use our ready-made samples or bring your own. Run liveness checks, test face matching, see quality scores and understand exactly how the technology works.

Why Choose Regula as Your Biometric Solution Provider?

The strongest proof comes from the people using the product. Explore how Regula performs across the metrics identity verification teams care about.

Regula awards Regula Sumsub Jumio Entrust IDV, formerly Onfido Veriff Net Promoter 
Score (NPS) 100 73 38 58 66 Quality of Support 99% 91% 90% 86% 92% Meets Requirements 96% 91% 91% 90% 91% Ease of Doing Business With 97% 92% 84% 91% 96% Regula 97 98% 97% 97%
Regula Sumsub Jumio Entrust/Onfido Veriff NPS 97 73 38 58 66 Quality of Support 98% 91% 90% 86% 92% Meets Requirements 97% 91% 91% 90% 91% Ease of Doing Business With 97% 92% 84% 91% 96%

Frequently Asked Questions

What is a biometric verification system?

A biometric verification system confirms a person's identity using unique physical traits — most commonly facial features, fingerprints, or iris patterns. In the context of face recognition, it compares a live biometric sample (a selfie or video frame) against a stored reference image to confirm the person is who they claim to be.

What is the difference between face verification and face identification?

Face verification (1:1) checks whether two images show the same person — for example, a selfie versus a passport portrait. Face identification (1:N) searches a database to find who a person is, or to check whether they appear in a watchlist. Regula Face SDK supports both modes.

What is liveness detection and why does it matter?

Liveness detection determines whether the biometric sample comes from a live person present in front of the camera — not a photo, video, or mask. Without liveness detection, any face recognition system can be bypassed with a printed photo. It is a mandatory component of any compliant biometric identity verification flow.

What is the difference between active and passive liveness detection?

Active liveness detection asks the user to perform a specific action — blinking, turning their head, or following a visual prompt. Passive liveness detection works silently in the background, with no user action required. Passive detection reduces friction in the user experience while maintaining a strong security level. Regula Face SDK supports both, and the mode can be selected based on your risk model.

What are the most common types of biometric authentication?

The most widely deployed types are face recognition, fingerprint scanning, iris recognition, and voice recognition. Face-based biometric authentication dominates remote identity verification because it works through a standard front-facing camera — no additional hardware required.

Can facial recognition technology be used for identity verification in online services?

Yes. A facial recognition SDK integrates into mobile apps and websites to verify users at account opening, login, or payment confirmation. The user takes a selfie; the SDK checks liveness, assesses image quality, and matches the face to the reference on file — all in a few seconds.

How does Regula Face SDK protect against deepfake attacks?

The liveness detection engine in Regula Face SDK is trained on a dataset that includes AI-generated and deepfake attack samples. It analyzes texture, micro-movement patterns, and reflection artifacts that are absent in synthetic faces. The model is updated continuously as new attack techniques emerge.

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