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Seed Music detection

Single-pass generation of a whole song produces a track with no production history — and that absence is measurable.

Output
Vocals, lyrics and instrumental in one pass
Lineage
Research song-generation systems
Detection angle
Cross-segment tonal stability
Attribution supported
No

Upload Audio or Drag & Drop

Upload an audio file to receive a probabilistic analysis of characteristics associated with AI-generated music.

  • MP3
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  • WebM

MP3, WAV, FLAC, AAC, M4A, OGG, WebM · max 25 MB · min 10 seconds · 30+ seconds recommended

Your audio never leaves your device. Decoding and analysis run entirely in this browser tab, and nothing is uploaded to a server. Your audio is processed only to perform this analysis, and your uploaded audio and temporary analysis data are automatically deleted after processing. No report links are created, and your analysis is never publicly accessible. Upload only audio you are authorised to process — analysis does not transfer ownership or publishing rights.

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No production history

A conventional record accumulates variation: different takes, different processing on different sections, a mastering engineer making a chorus brighter than a verse. An end-to-end generation has one origin, so tonal balance across the track tends to hold far steadier than a produced record does.

The engine reads this as high cross-segment agreement. On its own that is not damning — a live one-take recording is also consistent — but combined with mastering uniformity it forms a coherent pattern.

What to expect from the report

Expect strong segment agreement and a confidence level that reflects it. Expect the report to attribute the result to measurements — brightness stability, dynamic range, high-band structure — rather than to any named platform.

Seed Music detection FAQ

  • No. Consistency raises the probability estimate but a single-take live recording or a tightly produced studio record can be just as consistent. It is one input among several.

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