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ID Analyzer
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    ID scan & verification REST API

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    Generate & Sign Documents

    Regulatory Compliance

    GDPR, HIPAA, ISO, IAL2

    Supported Documents

    190+ Countries Covered

  • KYCDriver VerificationUser OnboardingUser VerificationIdentity VerificationFraud DetectionFinancial ServicesMarketplace & CommunitiesGamingTransportRetail & EcommerceAccess ControlHealthcareEducationTravel & HospitalityTelecom
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Match Score

98%

0%
Match Confirmed
Liveness Check

Passed

Face Match
0.98
Spoof
None

Biometric Face Verification
With Liveness Built In

ID Analyzer's Biometric API matches the selfie against the ID photo, runs passive liveness, and flags deepfake or print-attack attempts — in a single call.

  • Face match plus liveness in under 2 seconds.
  • Passive liveness — no blinks required.
  • Deepfake and presentation-attack detection.
Start Free Trial
MATCH0.98
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Thwarting Attacks With Face Verification

Presentation attacks have evolved — high-res photos, screen replays, 3D masks, deepfake video. Texture, depth, and motion signals separate the live face in front of the camera from every spoofing variant trained against the model.

  • Blocks printed photos, screen replays, and silicone masks

  • Detects deepfakes and face-swap manipulation

  • Confidence-score output — set your own accept threshold

See How It Works
Core Capabilities

Four Biometric Checks, One Endpoint

Send the API two images — or one image and the previous face token — and receive a confidence score, liveness verdict, and presentation-attack signals in a single call.

1:1 Face Match

Submit two face images, get a confidence score between 0 and 1. Tune your accept threshold per flow — strict for high-value transactions, lenient for low-friction signups.

MATCH0.98
Passive Liveness

No blinks, no head turns. A single selfie is enough.

LIVE
Active Liveness

Optional challenge-response — head turn or random prompt for high-risk flows.

Turn Your Head →
Deepfake & Spoof Detection

Catches AI-generated face swaps, printed-photo replays, screen recaptures, and 3D mask attacks — in the same call as the match.

Where Teams Use It

Four Surfaces, One Verification Engine

Same Biometric API, four very different jobs. Tune the match threshold and liveness mode per surface.

KYC Selfie-to-ID Match

Confirm the person uploading the document is the one in the photo. Strictest threshold, passive liveness on by default.

Workforce Sign-In

Replace the password prompt with a selfie. Active liveness on, low-latency mode.

Account Recovery

Match the recovery selfie against the enrollment photo. Stops social-engineering account takeover.

High-Value Transaction Step-Up

Trigger a face match before a wire, large transfer, or account-change action. One extra API call, fraud window closed.

Talk to Sales
How It Works

From Selfie to Verdict in Four Steps

Every verification follows the same path. Sub-2-second response, structured JSON back, no human review in the loop.

Read the API Reference
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1. Capture the Selfie

The user takes a live photo through their device camera, or you upload an existing face image. Any phone, laptop, or webcam.

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2. Run Liveness

Texture, depth, and motion signals decide whether the face is in front of the camera or a photo, screen, or mask.

TextureDepthMotion
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3. Match the Faces

1:1 comparison against the reference photo — the ID portrait, the enrollment selfie, or a stored face token.

SelfieReferenceMATCH0.98
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4. Get the Verdict

JSON response — confidence score, liveness pass/fail, detected attack vectors. You decide whether to accept, review, or reject.

Verifiedmatch_score0.98livenesspassattacksnone
Key Capabilities

What Ships With Every API Call

Six capabilities baked into the verification engine. No tiered access, no separate billing for fraud signals.

Deepfake Detection

Models trained to spot AI-generated face swaps, GAN artifacts, and digital manipulation — the failure modes traditional face-match misses entirely.

Anti-Spoofing

Multiple detection layers for printed photos, screen replays, 3D masks, and video loops. Only live faces pass.

Cross-Platform

Any device with a camera — phone, tablet, laptop, kiosk. REST API plus SDKs for iOS, Android, Windows, macOS, and Linux.

High Accuracy, Low Bias

Neural networks trained against demographically diverse face data — accuracy holds across ethnicity and age groups.

Sub-Second Latency

Face match and liveness in under a second on the backend. The user never waits, the funnel stays warm.

Compliance Ready

ISO 27001 certified infrastructure, GDPR-aligned data handling, configurable retention, and regional processing options.

The Numbers That Matter to Procurement

Accuracy, latency, coverage. The metrics security and compliance teams ask about before they sign.

<2s

face match plus liveness, end to end.

190+

countries and territories covered by the paired ID engine.

ISO

27001:2022 certified infrastructure, awarded by BSI.

FAQ

Questions From the Sales Call

Six questions that come up most often when teams evaluate the Biometric API. If yours isn't here, Talk to Sales in the menu reaches a human in under an hour.

Biometric face verification confirms a person's identity by comparing their live facial features against a reference photo — usually the portrait on an ID document. Unlike face recognition, which identifies an unknown face from a database, face verification is a 1:1 comparison: does this selfie match this reference?

Liveness analyzes the captured image for texture, depth, micro-motion, and reflection artifacts that distinguish a live face from a spoof attempt. The Biometric API ships with passive liveness — no blink prompts, no head-turn instructions — and an optional active-liveness mode for high-risk flows.

Yes. The engine includes dedicated deepfake-detection models that catch AI-generated and digitally manipulated faces. The models analyze facial artifacts, texture inconsistencies, and digital fingerprints characteristic of GAN-based generation.

Face spoofing is a presentation attack that tries to bypass verification by showing a fake version of an authorized person's face. Common forms: a printed photo, a face on a screen, a 3D silicone mask, a recorded video, or a deepfake. Liveness detection is the layer that counters all of these.

The Biometric API returns a confidence score per comparison. You set the accept threshold based on your risk tolerance — strict for high-value transactions, lenient for low-friction sign-ups. The matching model is trained on demographically diverse face data to keep bias low across ethnicity and age.

Yes. Use it on its own for face match and liveness, or combine it with the ID Verification API for end-to-end identity verification. The API accepts standard image formats (JPEG, PNG) or pre-extracted face tokens, and returns results as JSON.

Explore More

Related Products & Solutions

Biometric Verification

Face matching & liveness solutions

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ID Verification API

Document scanning & OCR extraction

→

Fraud Detection

Prevent identity fraud

→

Access Control

Physical security verification

→
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Verify a Real Human Behind Every Signup

Free trial credits on signup, no card required. Your first face-match call lands in under an hour.

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ID Analyzer

Cloud-based identity verification. Scan and verify driver licenses, passports, and ID cards from 190+ countries with OCR, biometric face matching, and AML screening.

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