Pre-Distribution Checklist for AI Music — Suno & Udio (2026)
Short answer: Before you distribute a Suno or Udio track, check seven things — loudness (aim for around -14 LUFS integrated, true peak at -1 dBTP or lower), a lossless WAV/FLAC master, clean start/end fades, complete metadata and credits, mono compatibility, rights and AI disclosure, and a reference A/B against a commercial song. The first three are audio problems you can fix in one mastering pass; the rest you handle at the upload stage. Clearing this list is what separates a track that gets accepted and sounds competitive from one that gets rejected or sounds thin.
Your track is finished, but distribution raises a new question: what do you actually need to check first? AI tools like Suno and Udio export a mixdown, not a release-ready master — so the file that sounds fine inside the app often sounds quiet, harsh, or unbalanced once it sits next to commercial releases on Spotify. Run through the checklist below to avoid getting rejected after upload, or ending up disappointed with the sound.
Quick-reference table
| # | Check | Target | Where it's fixed |
|---|---|---|---|
| 1 | Loudness | ~ -14 LUFS integrated | Mastering |
| 2 | True peak | -1 dBTP or lower | Mastering |
| 3 | File format | WAV 24-bit or FLAC, 44.1/48 kHz | Export/master |
| 4 | Start/end | 5–10 ms fades, no abrupt cut | Mastering |
| 5 | Metadata | Title, artist, credits, art | Upload |
| 6 | Mono check | Key elements survive mono sum | Mix/master |
| 7 | Rights & AI disclosure | Confirm distributor policy | Upload |
1. Loudness — around -14 LUFS
Major streaming services normalize playback so tracks play back at a similar perceived loudness — commonly cited around -14 LUFS, though the exact figure and behavior vary by platform and change over time. AI exports are usually quieter than that, which is why they sound thin and distant next to other releases even when nothing is technically wrong.
- Aim for roughly -14 LUFS integrated as a streaming-friendly starting point.
- If your track is a dynamic ballad, don't crush it just to hit a number — loudness normalization turns your level down anyway.
If your Suno track already sounds quiet on Spotify, the fix usually lives here. See why does my Suno song sound quiet on Spotify and LUFS targets for streaming in 2026 for the full picture.
2. True peak — -1 dBTP or lower
Keep the true peak at -1 dBTP or below. This isn't the same as the sample peak your DAW shows — lossy encoders (MP3, AAC) can reconstruct peaks above the original samples, and those inter-sample overs cause audible distortion on phones and cheap earbuds. Leaving 1 dB of headroom prevents it. This is one of the most common reasons an AI track that measured "fine" locally sounds crunchy after streaming. More on the mechanism in inter-sample peaks in AI music.
3. File format — lossless master
- Upload WAV 24-bit or FLAC.
- Sample rate 44.1 kHz or 48 kHz.
- Don't upload a 320 kbps MP3 as your "master." Hand over a lossless file and let the distributor transcode to each platform's format — that always sounds better than transcoding an already-lossy file twice.
4. Start and end handling
- A "click" or pop at the very start usually comes from the waveform beginning at a non-zero sample. Remove it cleanly with a 5–10 ms fade in.
- Make sure the ending doesn't cut off abruptly. AI tools frequently chop the reverb tail, leaving a jarring stop — confirm a natural fade or a complete tail. See why AI songs end abruptly if yours cuts off.
5. Metadata & credits
- Get the track title, artist name, album, genre, and release date right — these are hard to change after a release goes live.
- Include songwriting, composition, and arrangement credits in full.
- Cover art is typically a 3000×3000px square. Check the distributor's text/logo rules (no URLs, no pricing, no social handles on the art).
6. Mono compatibility check
A track that sounds wide and impressive in headphones can lose its vocal or bass on phone speakers, laptops, and club systems — many of which sum the signal to mono. Collapse your master to mono and listen: if key elements vanish or the low end disappears, you have phase issues to fix before release. AI stereo widening is a frequent culprit here. Details in stereo width & mono compatibility for AI music.
7. Rights & AI disclosure
- Only upload audio you own the rights to, or have legally licensed.
- AI-generated music policies differ by distributor and platform, and they change often. Always confirm the current policy directly before uploading — a distributor's rules can be stricter than the platform's, and some now require an AI disclosure flag. Treat any summary (including ours) as a starting point, not the final word. For a current side-by-side, see will distributors accept your AI music? covering DistroKid, TuneCore, Amuse, and Spotify, and the Suno → DistroKid upload guide for the step-by-step.
Common mistakes
- Uploading the raw Suno/Udio export as the final master. It's a mixdown, not a master — quiet, often peaky, no true-peak safety margin.
- Chasing maximum loudness. Streaming normalization turns loud tracks down; over-compressing just kills dynamics and adds distortion without making you louder on playback.
- Skipping the mono check. It takes ten seconds and catches the single most embarrassing failure mode — a vocal that disappears on a phone.
- Assuming last year's distributor policy still applies. AI music rules are moving fast; verify before every release.
- Forgetting the reference A/B. Muddy lows and missing high-end air are obvious the instant you compare at matched loudness — and invisible if you don't.
The last step — reference comparison
A/B your track against a commercial song in the same genre at matched loudness. Gaps — muddy lows, missing high-end air, a vocal that sits too far back — become obvious immediately. This one habit catches problems that no meter will flag for you.
FAQ
Do I need to master an AI track before distributing it? Practically, yes. The export from Suno or Udio is a mixdown — usually quiet and without true-peak headroom. Mastering brings it to a streaming-appropriate loudness, controls peaks, and balances the tone so it holds up next to commercial releases. See what mastering does to AI music.
What LUFS should I target for Spotify? Around -14 LUFS integrated is a common streaming-friendly reference, but exact normalization differs by platform and changes over time — treat it as a target, not a hard rule. Full breakdown in LUFS targets for streaming.
Will my distributor reject an AI-generated song? It depends on the distributor and the platform, and policies change frequently. Some accept AI music with a disclosure flag, others are stricter. Always confirm the current policy before uploading — see our distributor policy comparison.
What file should I upload — WAV or MP3? Upload lossless: WAV 24-bit or FLAC at 44.1 or 48 kHz. Let the distributor transcode. Never hand over a 320 kbps MP3 as your master.
Why does my AI track sound quiet even after I turned it up? Because streaming normalizes loudness — raising the fader in your DAW doesn't change perceived playback level. You need proper loudness and peak management, not just gain. See why Suno songs sound quiet.
Loudness, true peak, format, and start/end handling (items 1–4) can be sorted in one pass with the free automatic mastering at antiaimaster.com/studio — upload your Suno or Udio export and it targets streaming loudness, controls true peaks, and cleans up the edges. The rest — metadata, rights, policy — you handle at the upload stage. Clear this checklist and you'll avoid most distribution rejections and quality problems before they cost you a release.