AI music release guide
Suno to Spotify: how to prepare AI music for release
Use this workflow to move from raw AI generation to a cleaner, documented, release-ready master without pretending browser estimates are professional mastering approval.
Step 1
Export a clean master
Use WAV or another lossless file when possible. Keep the original generation, stems, prompts, and project notes in a release folder.
Step 2
Run audio QC
Check sample peak, clipping, silence, sample rate, stereo channels, and a rough loudness estimate before distribution.
Step 3
Add human finishing
Make arrangement, mix, mastering, guitar, vocal, foley, or sound-design decisions that turn a generation into a finished release.
Step 4
Prepare release assets
Confirm artwork, title spelling, artist name, release date, explicit status, and Spotify pitch notes.
Step 5
Document AI use honestly
Keep internal notes about the AI tool used and the human work added. Follow distributor/platform disclosure prompts when asked.
Suno to Spotify release FAQ
Can I put Suno songs on Spotify?
This depends on your account, rights, and the current terms of the AI tool and distributor you use. Before release, document rights, avoid unauthorized voices or copyrighted samples, and follow the distributor's AI disclosure prompts.
Should I upload the raw Suno file?
Usually no. Treat the generation as a starting point. Check for clipping, silence, weak low end, metadata issues, and mix/master problems before uploading.
Does the Release Lab certify my track for Spotify?
No. It is a browser-based preflight check, not a distributor approval or certified LUFS/true-peak meter. Confirm final numbers in pro tools before distribution.
What file should I use for distribution?
A clean stereo WAV at 44.1 kHz or higher is the safest default for most distributors. Always check the current requirements of your distributor.