Do old detection tricks still work on Riffusion?

Mostly not. Spectrogram banding was a real artefact of an earlier architecture and is not a reliable cue for current output. Detection advice in music AI ages quickly.

Can this tool tell me which generator made a track?

No. The engine estimates how likely it is that a recording was machine-generated. It does not attribute output to a named platform, because attribution needs a classifier trained on labelled per-generator data and we have not published one.

Is the check free and private?

Yes. Analysis runs in your browser, the file is never uploaded to a server, and the result exists only for the current session.

Riffusion detection

Early Riffusion generated pictures of sound. The artefacts of that approach are mostly gone now, which is itself a lesson about detection.

Origin: Spectrogram-image diffusion
Current form: Full song generation
Detection angle: High-frequency texture, historically banding
Attribution supported: No

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

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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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Why old detection advice stops working

Generating audio by diffusing a spectrogram image and then inverting it produced visible horizontal banding and phase reconstruction artefacts. For a while, that was a nearly free detection signal. Newer versions do not synthesise that way, and the signal is largely gone.

This is the clearest available demonstration of a general rule: any detector tuned to a specific artefact has a shelf life. Ours is no exception, which is why the report emphasises confidence and why the accuracy page refuses to publish a single headline number.

What is measurable today

The remaining signals are the generic ones: mastering uniformity, spectral behaviour over time, stereo field movement and cross-segment agreement. None of them are Riffusion-specific, and the engine does not pretend they are.