Mastering Workflow
Should You Clean AI Music Before Stem Separation or After?
Choose full-mix cleanup, stem repair, or a hybrid workflow. Compare both separation paths, preserve drum attacks, and check the stem sum before mastering.
Mastering Workflow
Build a cleaner path from export to final master
Put source checks, artifact cleanup, stems, mixing, level-matched quality control, mastering, and final export in an order that does not amplify the original defect.
Listening map
Problems this hub covers
- Mastering chains that make shimmer and harshness louder
- Choosing whether to clean a full mix or individual stems
- Preparing files and notes for a mixing engineer
- Release quality control without platform-approval promises
Curated path
Start with this reading order
Move from diagnosis to action in sequence. Each guide answers a different decision instead of repeating the same cleanup advice.
- Step 01Separate cleanup from masteringDecide which defects belong in source repair and which belong in final polish.
- Step 02Clean the source deliberatelyUse diagnosis and A/B checks before committing to a processing chain.
- Step 03Finish with quality controlCheck the cleaned master across formats, devices, levels, and delivery boundaries.
Category library
Latest mastering workflow articles
Mastering Workflow
Suno Studio 2.0 Stems: Export and Clean Up Before Mixing
Export Suno Studio 2.0 Multitrack WAV stems, keep Full Song as a reference, check range edits and phase, then clean vocals, drums, bass, and reverb before mixing.
Mastering Workflow
How to Prepare AI-Generated Music for a Mixing Engineer
Prepare AI music for mixing with aligned WAV stems, sensible headroom, raw and cleaned versions, clear filenames, and timestamped session notes.
Mastering Workflow
AI Music Cleanup Workflow: From Generator Export to Mastering
Follow an end-to-end AI music cleanup workflow covering rights, lossless export, backups, artifact diagnosis, manual and Sunofix paths, level-matched QC, and mastering handoff.
Mastering Workflow
AI Music Quality Control Checklist Before Release
Run a practical pre-release QC pass for AI music: artifacts, clipping, headroom, mono, device translation, metadata, rights, cleanup order, and a final release decision.
Mastering Workflow
MP3 vs WAV vs FLAC for AI Music Cleanup
Choose the best MP3, WAV, or FLAC source for AI music cleanup, avoid false upgrades, and prepare a clean handoff for mixing or mastering.
Mastering Workflow
Why Mastering Can Make Suno Artifacts Worse
Learn why compression, limiting, saturation, and high-shelf boosts can expose Suno source artifacts, and test your track before mastering it.
Change the question
Browse the full cleanup map
Work on the source
Use the guide to decide. Use your own track to confirm.
Start with the best export available, compare at the same listening level, and keep the cleanup only when it serves the song.
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