Voice Clone Detection
Detect voice clones, synthetic speech, and TTS-generated audio with explainable signals and enterprise-grade accuracy.
What We Detect
Comprehensive voice cloning and synthetic audio detection
Voice Clones
Identify cloned voices from AI models like ElevenLabs, Play.ht, and custom voice cloning systems
TTS Detection
Detect text-to-speech generation from major TTS providers and open-source models
Voice Conversion
Identify voice conversion and voice changer tools
Synthetic Speech
Detect fully synthetic AI-generated speech across multiple languages
Deepfake Audio
Identify audio deepfakes and synthetic impersonations
Signal Analysis
Analyze spectral patterns, timing artifacts, and vocal characteristics
Explainable Evidence
Understand exactly why audio was flagged
Evidence Types
- โTimestamp-level confidence scores
- โSpectral analysis with anomaly detection
- โVocal characteristic comparison
- โTiming and prosody signal analysis
Performance
- โกSub-second average response time
- ๐Real-time capable processing
- ๐ฏ93%+ accuracy on in-the-wild dataset
API Integration
Get started in minutes with our unified API
curl -X POST https://api.zerotrue.app/v1/detect \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"modality": "audio",
"url": "https://example.com/audio.mp3",
"options": {
"include_evidence": true
}
}'Limitations & Best Practices
Understanding model constraints for optimal results
False Positive Risk
Low-quality audio, strong compression, or background noise may increase false positives.
Adversarial Attacks
Voice anonymization and anti-forensic techniques may reduce detection accuracy.
Generalization Bounds
Performance varies across languages and TTS systems. Rolling evaluations track real-world performance.