AI Detection Center
Upload audio to detect AI voice cloning and synthetic speech. Get a clear Pass, Review, or Block verdict.
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Analyse frequency artefacts, prosody, and synthesis fingerprints left by voice-cloning and TTS engines.
Identify synthetic speech and cloned voices across podcasts, calls, and music recordings.
Uploaded audio is automatically removed from storage after analysis, so your recordings aren't retained.
An AI audio detector estimates whether speech was produced by voice cloning or text-to-speech synthesis rather than recorded from a real speaker. Ai.Rax screens podcasts, calls, voice messages, and other recordings for synthetic speech and compliance risks.
Synthetic voices carry spectral fingerprints — regularities in frequency, prosody, and articulation that natural speech does not show. Ai.Rax analyzes these acoustic patterns and returns a clear verdict for each recording; longer files are processed asynchronously and results appear in your detection history.
Results are probabilistic, not proof. Background noise, music, heavy compression, and very short clips weaken the acoustic signal, and re-encoded or edited audio is harder to classify. Treat a flagged recording as a reason for closer review, not a verdict on its own.
Audio analysis is billed in credits per minute — the exact cost is shown before you submit, and new accounts start with free welcome credits.