Real-Time Voice Deepfake Detection

Detect AI-cloned voices and synthetic speech in real time. Powered by multi-layer acoustic analysis — the same approach used by Resemble AI's DETECT-3B model.

How it works: The detector analyzes your microphone input every 2 seconds, examining spectral patterns, frequency ratios, and acoustic artifacts that are characteristic of AI-synthesized speech. Synthetic voices from ElevenLabs, Resemble AI, and similar tools produce distinctive high-frequency patterns that differ from natural human speech.

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Vishing Calls

Detect AI-cloned voices in phone calls claiming to be executives or family members

Live Meetings

Monitor Zoom, Teams, and Google Meet calls for synthetic voice substitution

KYC Verification

Verify that voice biometrics in identity checks are from real humans

Detection Technology

This demo uses real-time spectral analysis of your microphone input. The production API integrates with neural deepfake detection models trained on 40+ languages, supporting telephony codecs (G.711, G.723.1), MP3, OGG, and AAC — achieving sub-300ms detection latency with an equal error rate below 6%, consistent with Resemble AI's DETECT-3B benchmark results.

View full technical benchmarks →