Análisis de IA

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.

Archivo seleccionado
· Archivo seleccionado y listo para comprobar
Tras el análisis, el archivo original se elimina de inmediato, salvo durante el breve paso de limpieza. Al recargar o cerrar la página se borran los archivos temporales.
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.

Datos clave

Upload a WAV, MP3, FLAC, OGG, M4A or AAC file up to 50 MB and the detector checks its metadata for Suno, Udio, ElevenLabs and C2PA signatures, plus the spectrum for WAV. Free, no sign-up. It does not decode a watermark hidden inside the sound itself.

Precio
Gratis
Registro
No necesario
Procesamiento
The file is uploaded to our server and examined by a Python module; a copy stays in a temporary folder only while you can still download the cleaned WAV, and is deleted after about 15 minutes
Entrada
One audio file in WAV, MP3, FLAC, OGG, M4A or AAC format, up to 50 MB
Límites
8 checks per minute per IP; no sign-up; files over 50 MB are rejected; the spectral check covers only 16-bit WAV, first 20 seconds
Resultado
A report with findings and a risk level: C2PA/JUMBF, XMP fields, generator names (Suno, Udio, ElevenLabs and others), unusual high-band energy in WAV; a cleaned file for WAV, recommendations for other formats
Última actualización

Audio Watermark Detector — AI Signatures, Metadata and Spectrum

Check audio for provenance metadata and Suno, Udio, ElevenLabs names in tags and file metadata. WAV files also get a high-band energy check (16-bit PCM) and can be rebuilt without metadata. Inaudible watermarks embedded in the sound itself are not detected.

WAV, MP3, FLAC, OGG, M4A, and AAC audit
Suno, Udio, ElevenLabs names in ID3, RIFF INFO, Vorbis comments and MP4 tags
High-band energy check (top 10% of the spectrum) for 16-bit WAV, first 20 seconds
WAV metadata cleaning with a temporary download link

Cómo usar

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

Casos de uso

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

Limitaciones

  • 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.
  • A signature is a string match: a short name like Udio can match inside an ordinary word (Studio, Audio). Check which field it came from.

Ejemplo de entrada / resultado

Ejemplo de entrada
voiceover.wav with ElevenLabs metadata and high-band anomaly
Ejemplo de resultado
Risk 100%; found generator signature and spectral anomaly; cleaned WAV copy available.

FAQ

Upload a WAV, MP3, FLAC, OGG, M4A or AAC file up to 50 MB and press Check Audio. The tool reads the container and metadata, looks for generator signatures and C2PA records, and for 16-bit WAV also measures high-band spectral energy. No sign-up is needed.

We found no public checker for Suno’s mark, and this tool does not decode it. It only shows what is left in the file’s tags and metadata, such as a Suno reference, C2PA or XMP records. Once a file is re-saved, those traces usually disappear.

Not conclusively. Metadata and spectrum give hints only, and a clean result does not prove a human made the music. Weigh the report against release credits, the artist’s history and a careful listen, and ask the platform or distributor if the answer matters.

This tool strips only removable metadata, and only from WAV, by rebuilding the file from its audio chunks. It does not remove a mark embedded in the sound itself, and for MP3 and other formats it gives recommendations such as an ffmpeg command for clearing tags.

WAV, MP3, FLAC, OGG, M4A and AAC, files up to 50 MB, and 8 checks a minute per IP. The spectral check runs only on 16-bit WAV and covers the first 20 seconds; for other formats the tool reads metadata.

The file is uploaded to our server for analysis. A copy is kept only when something removable is found, and it is deleted after about 15 minutes or when the page is reloaded. Avoid uploading unreleased material.

The match is by name inside the scanned metadata, and “udio” also sits in words like “Studio” and “Audio”. A tag such as “FL Studio” can trigger a false hit, so open the tags in an editor or ffprobe and read the actual field before drawing conclusions.

PromoPilot frente a alternativas: comparación

Comparamos solo lo que está confirmado en las páginas de cada servicio. Donde no pudimos confirmar un dato, la celda muestra "—".

Parámetro PromoPilot ElevenLabs AI Speech Classifier Musci AI Music Detector Pex AI Song Detector
Gratis y límites Free; 8 checks a minute Free; first minute analysed Credits: 3 credits per detection — (pricing on request)
Registro ✗ Not needed (no login) — API access / Client ID from their team
Dónde se procesa el archivo On our server, temporary copy — — —
Precio del plan de pago La herramienta no tiene plan de pago — — (not shown on the page) —
Reads metadata and C2PA ✓ — ✗ (metadata is ignored) ✗ (analyses the audio)
Model scoring of the sound itself ✗ ✓, ElevenLabs voices only ✓, per stem, names the likely generator ✓
Limpieza de metadatos WAV only — — —
Formats and size WAV, MP3, FLAC, OGG, M4A, AAC · 50 MB “Common audio and video files”, size limit not stated MP3, WAV, M4A, FLAC, OGG · 20 MB — (file via API)

Desplaza la tabla hacia los lados

Dónde somos más débiles: We do not score the sound with a model and give no “probability this is AI”: only metadata and the WAV spectrum, so a re-saved file may show nothing. Classifiers do better where the marks have been stripped.

Cuándo elegir PromoPilot: We read the container and metadata (C2PA, XMP, generator names) and, for WAV, check the top band of the spectrum. It is not an “AI or human” classifier: no model scores the sound, and a watermark inside the audio is not decoded. Cleanup works for WAV only.

Comprobado el: . "—" significa que no está confirmado en la página oficial; las condiciones y los precios cambian, así que consulta los sitios de cada servicio.

Promoción con enlaces en cascada para tu sitio Bono de $30Backlinks 5→50→5000 en más de 100 plataformas. Desde $30 para empezar, más un bono de $30 para nuevos usuarios.