AI disclosure in 2026: what to fill in, and what a mastering tool should never do
Updated 2026-09-06
The rules changed during 2026. Here is the state of play, in plain terms, and where mastering fits.
What distributors ask now
DistroKid, TuneCore and most others include an AI question at upload. The industry standard behind it is a DDEX field that travels with the release. Spotify's AI credits program reads it and shows a credit line. TuneCore names AI mastering as one of the things you can disclose. Answering yes does not block a release. Answering no when it was yes is the thing that gets catalogs pulled.
What happens to undisclosed AI
Spotify removed tens of millions of spam uploads in 2026 and runs a filter for them. The filter targets volume abuse and fake artists, not honest releases. A single disclosed AI song by a real person with real artwork is not what it is looking for.
The trap
There is a growing cottage industry of tools that promise to remove watermarks or beat AI detection. Do not use them. Generator terms of service ban it, it is grounds for a distributor to drop you, and provenance systems like C2PA are reaching audio, so the mark you strip today is the one that would have proven your file's origin tomorrow. It is also the fastest way to lose royalties that were being paid.
Where mastering fits
Mastering makes a track sound finished. It does not change what the track is. Burnish keeps the provenance metadata in the files it processes, never markets itself as a way to pass detection, and prints on every report what it did to the audio and nothing else. "Release-ready" on our report means the loudness, true peak and spectrum meet streaming spec. That is a claim we can measure.
Check your own file, free
Drop a track in and get the cutoff, the low-mid excess, the width, the loudness and the true peak on one page. Nothing is changed and nothing is charged.
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