The RefinerGuides
Field notes on getting the best out of Suno, Udio, and AI-generated music — from cleaning up compressed exports to preparing tracks for release. Every guide is written from real refinement work, not marketing fluff.
Why Suno tracks sound compressed: the real cause of Suno audio quality artifacts
The compressed character of Suno audio quality is stamped in by the neural decoder, not the mp3 export. Even Premier WAVs carry it. Here is what actually fixes it.
How to master Suno tracks for release: a practical workflow
Even a Suno Premier WAV has decoder-stage artifacts baked into the audio. Mastering plugins can't remove them. The fix is to refine first, then master.
Udio vs Suno: an honest audio quality comparison
The audio character of Suno and Udio genuinely differs, and there is a physical reason. Here is what is public about each, and what it means in 2026.
How to get stems from an AI-generated track with AI stem separation
Suno and Udio hand you a finished mix. To remix it, build a karaoke version, or lift the vocal, you need stem separation. Here is how that works and which engine to pick.
How to distribute AI music: a pre-release checklist for Suno tracks
Why a Suno WAV isn't automatically release-ready, and the four-step workflow — refine, master, format, disclose — to actually distribute AI music to Spotify, Apple Music and beyond.
Enhanced vs Flow Matching: which AI audio restoration preset to use
Two refinement presets, two different model families. Enhanced is a fast deterministic encoder-decoder. Flow Matching is an iterative generative model. Here is how to choose between them honestly.
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