New Capability

Your Voice Is
Your Password.

Add voice biometrics as a powerful third layer of identity verification. Match speakers, detect AI-generated audio, and stop voice cloning attacks—all with a few words spoken.

Voice Verified

The Missing Third Factor

Documents can be forged. Faces can be deepfaked. But combining all three modalities creates a verification system that's exponentially harder to defeat.

Document

Verify the authenticity of identity documents with forensic precision.

+

Face

Match the person to their document with biometric face verification.

+

Voice

Add unique voiceprint matching for multi-modal identity assurance.

New
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Exponentially Stronger Verification

Why Voice Changes Everything

Voice biometrics adds a dimension that's uniquely difficult to fake in real-time, providing natural liveness detection and speaker verification in one seamless step.

Unique as a Fingerprint

Every voice has unique characteristics—pitch patterns, cadence, resonance—that create a voiceprint as individual as a fingerprint.

Real-Time Verification

Voice verification happens in real-time as users speak, providing natural liveness detection without awkward pose challenges.

Built-In Liveness

The act of speaking naturally proves the user is present and alive—no additional liveness challenges required.

Frictionless Experience

Simply speak a phrase. No special hardware, no complex gestures—just natural speech that users already know how to do.

Three Layers of Voice Intelligence

Every voice verification runs through multiple AI engines working in concert to verify identity and detect fraud.

01

Speaker Verification

Match the speaker against their enrolled voiceprint with industry-leading accuracy. Confirm it's really them, every time.

  • Voiceprint enrollment and matching
  • Text-independent verification
  • Cross-session accuracy
  • Noise-robust recognition
02

Deepfake Audio Detection

Detect AI-generated voices, voice cloning, and text-to-speech attacks with advanced neural network analysis.

  • AI-generated voice detection
  • Voice cloning identification
  • Text-to-speech artifact analysis
  • Voice conversion detection
03

Replay Attack Prevention

Stop replay attacks where fraudsters play back recorded audio. Detect recordings, speakers, and environmental anomalies.

  • Replay detection
  • Channel analysis
  • Environmental modeling
  • Passive liveness signals

How Voice Verification Works

A simple, secure process that adds powerful protection without adding friction.

1

Enrollment

User speaks a few phrases to create their unique voiceprint. This becomes their voice identity for future verifications.

2

Speak to Verify

When verification is needed, user simply speaks naturally. No memorized phrases, no robotic prompts.

3

Multi-Layer Analysis

Voice is analyzed for speaker match, deepfake signals, and liveness indicators simultaneously.

4

Unified Score

Voice score combines with document and face scores for a comprehensive identity trust assessment.

The Voice Threat Landscape

Voice-based attacks are exploding as AI makes it easier than ever to clone voices and generate synthetic speech. We're built to detect them all.

Voice Cloning

AI can now clone a voice from just seconds of audio, creating convincing impersonations.

Text-to-Speech

Commercial TTS tools generate increasingly realistic synthetic voices for fraud.

Voice Conversion

Transform one person's voice to sound like another in real-time.

Replay Attacks

Playing back recorded audio to bypass voice authentication systems.

Our Technology Adapts in Real Time

Advanced detection engines analyze hundreds of audio features to identify synthetic, cloned, or replayed audio—catching attacks that fool the human ear.

Where Voice Verification Shines

Call Center Authentication

Verify callers in seconds without security questions. Reduce call time and fraud simultaneously.

Financial Services

Add voice as a factor for high-risk transactions. Natural authentication for phone and digital banking.

Account Recovery

Secure account recovery with voice verification. Know it's really them when credentials are lost.

Remote Onboarding

Strengthen identity verification during digital onboarding with voice as a third factor.

Healthcare

Patient verification for telehealth and prescription verification without friction.

Gaming & Social

Age verification and identity confirmation for platforms requiring user authenticity.

Adaptive Voice Intelligence

Our technology is always adapting to new threats every day from intelligence gathered from users being targeted. Alone we are strong, together we are stronger.

Voiceprint reuse detection across organizations
Deepfake signature library updated in real-time
Same voice, different identity flagging
Cross-platform attack pattern sharing

Seamless Integration

Voice biometrics integrates naturally with your existing Owl Eyes implementation. Same API patterns, same SDKs, same unified trust score—now with voice.

Works alongside document and face verification
Unified trust score across all modalities
SDKs for Web, iOS, and Android
Configurable as optional or required factor
// Add voice verification to your flow
const session = await owlEyes.createSession({
  modalities: ['document', 'face', 'voice'],
  voice: {
    enrollment: true,
    deepfakeDetection: true,
    livenessCheck: true
  }
});

// Get unified verification result
const result = await session.getResult();
// → { verified: true, trustScore: 97,
//     voice: { matched: true, deepfake: false } }

Privacy-First Voice Biometrics

Voice biometrics are sensitive data, and we treat them that way. Voiceprints are encrypted at rest and in transit, stored with explicit user consent, and can be deleted on request. We're built for GDPR, BIPA, and global privacy compliance.

Encrypted StorageConsent RequiredRight to DeleteGDPR Ready
Also Available for Enterprise

Voice Biometrics for Workforce Auth

Multi-modal biometric authentication combining face and voice for your workforce. The highest level of identity assurance for enterprise environments.

Multi-Modal Authentication

Combine face and voice biometrics for high-security zones and privileged access. Two independent biological factors that can't be stolen, shared, or forgotten.

Voice Deepfake Detection

AI voice cloning attacks are rising. Our audio analysis catches synthetic speech, voice cloning, and text-to-speech attacks on your authentication endpoints.

Continuous Verification

For call centers and remote work, verify speaker identity throughout conversations. Ensure the person who started the call is the person still on the line.

Add Voice to Your Verification Flow

Voice biometrics integrates seamlessly with your existing Owl Eyes implementation. Start verifying with voice today.