Audio Watermark Detector

Audit audio files for AI provenance, generator signatures, hidden metadata, and unusual high-frequency energy. WAV can be re-serialized without removable metadata.

AI audio signatures

Suno, Udio, ElevenLabs, and other markers when they are stored in metadata.

Spectral analysis

For WAV files, we also check unusual energy in the high-frequency band.

WAV cleanup

WAV is rebuilt without removable metadata; other containers receive recommendations.

Audio Watermark Detector — AI Signatures, Metadata and Spectrum

Check audio for provenance metadata, Suno, Udio, ElevenLabs signatures, and spectral anomalies. WAV receives additional high-band analysis and can be re-serialized without removable metadata.

WAV, MP3, FLAC, OGG, M4A, and AAC audit

Suno, Udio, ElevenLabs, and other AI audio system signatures

High-band spectral anomaly check for WAV

WAV metadata cleaning with a temporary download link

How to Use

Upload a WAV, MP3, FLAC, OGG, M4A, or AAC file.
Review detected metadata, AI signatures, and spectral signals.
For WAV, download the cleaned copy when metadata can be safely stripped.

Use Cases

Audit audio before publishing a podcast, ad spot, or UGC asset.
Check outsourced voice-over and music files for AI provenance.

Limitations

Does not remove audible jingles/watermarks or guarantee detection of robust neural audio watermarks.
Automatic metadata cleaning is implemented for WAV; other formats receive audit and recommendations.

Example Input / Output

Example Input

voiceover.wav with ElevenLabs metadata and high-band anomaly

Example Output

Risk 100%; found generator signature and spectral anomaly; cleaned WAV copy available.

FAQ

No. The tool checks metadata, known generator signatures, and spectral anomalies. It does not restore audio or suppress audible elements.

WAV can be read reliably with standard tooling without external decoders. Compressed MP3/FLAC/OGG need decoding, so they receive metadata/signature auditing.