Face Liveness

Prove It's a Real Face.
Right Now.

deepidv Face Liveness uses passive liveness detection, presentation attack detection, and injection prevention to verify a real, live human is present - not a photo, video, mask, or deepfake. ISO 30107-3 certified with sub-second response and zero user friction.

99.8%

Liveness Accuracy

<1s

Response

ISO

30107-3 Certified

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Core Advantages

Why deepidv Face Liveness Wins

N° 01

Passive Liveness Detection

No blink, smile, or head-turn required - zero user friction
Single-frame analysis detects liveness from a normal selfie
Works on any device with a standard camera

N° 02

Presentation Attack Detection

Catches printed photos, screen replays, and 3D masks
Detects silicone, latex, and paper mask attacks
Analyzes texture, depth, and reflection patterns in real time

N° 03

Injection & Deepfake Prevention

Blocks virtual camera injection and video feed manipulation
Detects GAN-generated faces and face-swap deepfakes
Device integrity checks prevent camera API hijacking

N° 04

ISO 30107-3 Certified

Independently tested against NIST PAD standards
Level 1 and Level 2 presentation attack detection
Certified across diverse demographic groups for fairness

N° 05

Sub-Second Performance

Liveness decision returned in under 1 second
Edge processing option for offline environments
Minimal bandwidth - works on 3G connections

Use Cases

Liveness Detection for Every Verification Moment

From onboarding to transaction approval, deepidv face liveness proves a real human is present

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Identity Verification & KYC

Prove a real person is holding the ID during onboarding. Combine with document verification and biometric matching for end-to-end KYC.

Account Recovery & Re-Authentication

Verify the real account holder is requesting access recovery. Prevent social engineering attacks that bypass knowledge-based authentication.

High-Value Transaction Approval

Require liveness proof before authorizing large transfers, wire payments, or account changes. Add a biometric friction layer for high-risk actions.

Remote Exam Proctoring

Confirm a live student is present throughout the exam. Detect face-swap attempts, video replays, and proxy test-takers in real time.

Age-Restricted Access

Combine liveness detection with age estimation to verify a real person meets age requirements - not a photo of someone else's ID.

Workforce & Attendance

Prove physical presence for time-and-attendance, contractor check-ins, and remote workforce verification. Prevent buddy-punching and proxy attendance.

Trusted & Certified

SOC 2 Type II

Audited security controls for data protection

GDPR Compliant

Full compliance with EU data privacy regulations

ISO 27001

International standard for information security

DIACC Member

Digital ID & Authentication Council of Canada

Ship Verification in Hours, Not Weeks

Our SDK gives you pre-built UI components, server-side libraries, and a sandbox environment so you can go from zero to live verification in a single sprint.

Read the Docs Get API Keys

verification.ts

import { DeepIDV } from '@deepidv/sdk';

const client = new DeepIDV({
  apiKey: process.env.DEEPIDV_API_KEY,
});

const verification = await client.verify({
  type: 'identity',
  checks: ['id-document', 'liveness', 'face-match'],
  webhookUrl: 'https://yourapp.com/webhooks',
});

// verification.url → send to your user
// verification.id → track the session

Client SDKs

Native SDKs for iOS, Android, and Web with drop-in UI components for ID capture, liveness, and document upload.

Server SDKs

Node.js, Python, and Go libraries to manage verifications, retrieve results, and configure workflows programmatically.

Sandbox Environment

Full-featured test environment with simulated ID documents, mock biometrics, and instant webhook delivery for rapid development.

Modular Architecture

Pick only the modules you need — ID verification, liveness, e-signatures, document management — and compose custom flows.

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See how deepidv can transform your verification process.

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Frequently asked questions

Passive liveness analyzes a single selfie image to determine if a real, live person is present - without requiring the user to blink, smile, turn their head, or perform any active challenge. This provides the best user experience while maintaining high security.

Yes. Our injection prevention module detects GAN-generated faces, face-swap deepfakes, and virtual camera injection. Device integrity checks ensure the camera feed hasn't been hijacked or manipulated before reaching our analysis engine.

ISO 30107-3 is the international standard for presentation attack detection (PAD) in biometric systems. It defines testing methodologies for evaluating how well a system detects spoofing attempts. Our liveness module is independently certified under this standard.

Yes. Our liveness detection works on any device with a standard front-facing camera - smartphones, tablets, laptops, and webcams. No special hardware, infrared sensors, or depth cameras are required.

Face liveness is a foundational module that integrates with document verification (selfie-to-ID matching), biometric matching (1:1 and 1:N), and age estimation. A single SDK call can chain liveness + matching + document verification in one flow.

Still have questions?

Our team is ready to help you get started.

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Prove It's a Real Face.
Right Now.

99.8%

<1s

ISO