AI Face Comparison

High-Confidence Face Comparison API for Identity Verification

Compare two faces. Get a clear verification result.

FacePair API compares two images and determines with high confidence whether they belong to the same individual, securely, instantly, and without storing biometric data.

View API Documentation

Upload → compare → receive:

  • Similarity score
  • Confidence level
  • Match / no-match decision

FacePair is built for fintech teams, marketplaces, SaaS products, developers, and platforms that require fast, stateless face verification.

How FacePair compares & Verifies Faces via API

When you’re unsure whether two photos show the same person, FacePair helps you find out fast.

Step 1 – Send two images via API

1. Send two images or capture via SDK

Provide:

  • Reference image – ID photo or enrolled selfie
  • Capture image – new selfie or live capture

Send the images via the REST API or test it using the in-page demo.

No account is required to try the demo.

Step 2 – Instant face comparison

2. Instant Face Comparison

FacePair can:

  1. Detects the face in both images
  2. Extracts biometric facial features
  3. Calculates a similarity score

Processing happens securely in memory, without storing the images.

Typical response time: 1–2 seconds.

Step 3 – Get results & take action

3. Check if It’s a Match Score

The API returns three key values:

  • Similarity score — how closely the two faces match
  • Confidence level — reliability of the comparison
  • Match decision — same person or not

You can configure thresholds to automate decisions. Example:

  • 0.80+ → auto approve
  • 0.65–0.80 → manual review
  • <0.65 → reject

This makes it easy to balance security, user friction, and risk tolerance.

What is FacePair API?

FacePair adds biometric identity verification exactly where trust matters most, from onboarding to sensitive account actions. Fast 1:1 Face Comparison for Developers

Stronger Identity Verification (eKYC)

Stronger Identity Verification (eKYC)

Confirm that a user matches their government ID or enrolled reference photo.

This helps teams:

  • accelerate onboarding
  • reduce manual identity checks
  • meet KYC / AML compliance requirements

Ideal for

Secure onboarding, compare ID photo to a live selfie during account creation.

Protect Against Fraud

Fraud Prevention

Prevent impersonation, stolen identities, and account abuse by ensuring the person presenting the image matches the claimed identity.

Multi-account detection identifies duplicate or fake accounts in real time.

Reliable Identity Verification at Scale

Real-Time Liveness Verification

FacePair returns results in seconds with no queues or batch processing.

This allows verification during:

  • signup
  • login
  • transactions
  • account changes

Ideal for

Biometric re-authentication before sensitive actions.

Control Accuracy & Risk

Control Accuracy & Risk

Developers receive a similarity score and match decision, allowing flexible thresholds depending on risk level.

Ideal for

Account recovery, visually re-verify returning users when traditional credentials are unavailable.

Easy SDK API Integration

Simple Integration with SDK

FacePair offers a single API endpoint and an optional browser SDK.

Compatible with:

  • Node.js
  • Python
  • PHP
  • Java
  • Go
  • cURL

Integration requires minimal setup and works across web, mobile, and backend environments.

Ideal for

Cross-platform identity verification across products and services.

Strict & Trustworthy Data Privacy

Privacy-First Processing

Images are processed in memory and immediately discarded after comparison.

Security measures include:

  • encrypted HTTPS transmission
  • no image storage
  • no biometric retention

Ideal for

High-trust environments such as fintech, healthcare, and regulated platforms.

Supports compliance frameworks including GDPR and SOC2.

Why Teams Choose FacePair

Reliable Identity Verification at Scale

Many verification tools are either too basic to trust or too complex to deploy.

FacePair focuses on production-ready face verification that works reliably at scale.

Fast and Secure Face Comparison

FacePair performs 1:1 biometric face comparison in seconds, returning clear similarity scores and match decisions.

Teams can integrate it directly into:

  • account recovery workflows
  • onboarding flows
  • KYC verification
  • fraud prevention systems

Built for Developers

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API Integration

Integration requires sending two images to the verification endpoint.

Endpoint

POST /api/verify

Header

X-API-Key: your_key_here

Images can be sent as multipart uploads, Base64 strings, or URLs, depending on the integration method.

Example API Response

{
 "similarity": 0.87,
 "confidence": "High",
 "match": true
}

The response typically includes:

  • similarity score
  • confidence level
  • match decision

Additional metadata such as processing time or liveness flags may be included depending on configuration.

A sandbox environment is available so developers can test the API without affecting production systems.

FAQs FacePair API

1. Can FacePair work with mobile apps and web platforms?

Yes. FacePair works with mobile apps, web applications, and backend services.

Since verification runs through a standard HTTPS API request, it can be integrated into: server-side systems, iOS apps, Android apps, browser-based products

2. Can FacePair handle high verification volumes?

Yes. FacePair uses a stateless architecture where each request is processed independently in memory. This allows the system to scale efficiently under high traffic, making it suitable for products with large user bases or frequent verification checks.

3. What happens if a face cannot be detected?

If one or both images do not contain a detectable face, the API returns an error response instead of a match result. This prevents misleading comparisons and indicates that a clearer image should be provided before running the verification again.