AI music rules, platform by platform
Where disclosure is actually required, where it is only encouraged, and what none of these services can establish from the audio itself.
Last updated August 2026
Short answer
Do streaming platforms allow AI-generated music?
Broadly yes. No major streaming service bans AI-assisted music outright; they regulate behaviour and metadata instead. Distributors ask an AI-involvement question at upload, YouTube requires a synthetic-content label where viewers could be misled, and Deezer tags fully generated uploads and limits their editorial reach. Takedowns follow impersonation, artificial streaming and rights conflicts — not generation method.
What a detector cannot establish →The one-line version for each
Spotify
Does not ban AI-assisted music. Its enforcement energy goes on artificial streaming, spam uploads and impersonation, not on how a track was composed.
- What is asked of you: Nothing you tick in the app today — disclosure reaches Spotify through your distributor's credits and AI-involvement fields, which flow into industry metadata standards.
- What actually causes trouble: Mass uploads of near-identical tracks, streaming-farm activity, or a voice that imitates a named artist.
YouTube
Allows AI-assisted content and requires disclosure when synthetic media could mislead a viewer about real people or events.
- What is asked of you: The altered-or-synthetic content toggle in the upload flow where it applies, plus the separate rules on singing-voice likeness.
- What actually causes trouble: A cloned singing voice of an identifiable artist, which has its own removal request route independent of copyright.
DistroKid, TuneCore, CD Baby
Accept AI-assisted releases. They are the point where the disclosure question is actually asked, because they own the metadata your stores receive.
- What is asked of you: Answer the AI-involvement question honestly at upload, and keep credits accurate for anyone who contributed.
- What actually causes trouble: Inaccurate answers surface later as a metadata dispute, and account-level action is far worse than one rejected release.
Apple Music
Focused on quality, accurate credits and impersonation rather than on generation method.
- What is asked of you: Correct credits and no misleading artist attribution.
- What actually causes trouble: Releasing under a name that implies a real artist performed.
Deezer
Publicly reports tagging fully AI-generated uploads and excluding them from some editorial and recommendation surfaces.
- What is asked of you: Nothing extra from you, but expect classification to happen without asking.
- What actually causes trouble: Reduced discovery rather than removal — a quiet outcome that is easy to misread as a bad release.
SoundCloud, Bandcamp
Permissive on method, strict on rights. Bandcamp in particular is a direct-to-fan context where an undisclosed AI release damages trust more than any policy would.
- What is asked of you: Honest description text. Fans read it.
- What actually causes trouble: Reputational, not procedural.
The pattern underneath all of them
Read the six rows together and the policies converge on the same three things. First, method is not the offence — misrepresentation is. Second, the decisive record is metadata and credits, entered by you at distribution, not a measurement taken from the master. Third, the voice is treated differently from the music: a synthetic instrumental is an ordinary release, while a synthetic version of an identifiable singer has its own removal route on multiple services.
That is also why an acoustic score cannot settle a platform dispute. Our own robustness testing found readings unchanged on repeat analysis but moving by around 4.4 percentage points when the excerpt changed — see the benchmark. A number that moves with excerpt choice is a screening aid, not evidence.
What to do before a release you care about
- Answer the distributor’s AI-involvement question accurately, and credit every human contributor by name and role.
- Keep the project file, stems and at least one dated rough. This is the only artefact that resolves a challenge quickly.
- Never release a voice that imitates an identifiable artist, even as an homage. It is the single most enforced rule on this page.
- If you are receiving music rather than making it, use the intake process for labels and sync instead of a score.
- Re-read the current terms of the platform you are releasing on. These rules move faster than any page about them.
Questions people ask
Do I have to disclose that I used AI to make a song?
It depends on where the release lands. Distributors ask an AI-involvement question that feeds store metadata, and YouTube requires a synthetic-content label where a viewer could be misled about real people. No major music service currently bans AI-assisted composition outright. Answer the questions you are asked accurately; that is what protects the account.
Can Spotify or YouTube tell that a track was AI generated?
Neither publishes a per-track acoustic verdict, and no classifier available today is reliable enough to be one. Platform action overwhelmingly follows behaviour and metadata — upload volume, streaming patterns, credits, voice-likeness complaints — rather than an audio measurement of how the music was made.
What actually gets a release taken down?
Impersonating an identifiable artist's voice, artificial streaming, rights conflicts and duplicate or spam uploads. Generation method on its own is rarely the trigger. Most people who lose a release lose it for one of those four reasons, not for using a generator.
Will a detector score satisfy a platform?
No. A probability from any tool, including this one, is an estimate from signal characteristics and is not evidence a platform will act on. What resolves a dispute is provenance: stems, project files, dated drafts and clear credits.
Do these rules change?
Frequently, and unevenly across territories. Treat this page as an orientation to the shape of the rules and read the platform's current terms before a release you care about. The one constant is that accurate metadata and retained project files protect you under every version of the policy.
Want a measurement to go alongside the paperwork? Run a free check in your browser — nothing is uploaded and nothing is stored.