Metadata Prep
Removes risky embedded metadata and rewrites clean professional file tags.
- ID3 and private-frame cleanup
- Professional encoder metadata
- Fastest path for simple file prep
Clean metadata, preserve vocals, keep the low end, and let the background queue finish the job even if the user closes the screen.
Use credits only when a job is created. Processing runs behind the scenes, and completion is reported through the site notification system.
Removes risky embedded metadata and rewrites clean professional file tags.
Tone-safe cleanup for single-file uploads while preserving low end and vocal clarity.
Processes uploaded stems separately, recombines them carefully, and protects vocal balance.
Stem cleanup plus conservative mastering built for release-ready loudness and clarity.
The upload request creates a job record; Python workers handle the heavy audio processing after the page is gone.
Send one mix or a ZIP/multi-file stem set for deeper control.
Jobs stay pending until workers accept them, so a busy site does not block page loads.
Processing uses the current tone-safe chain: no low-end removal and no pitch drift on full masters.
Users get a site notification when the mastered track is ready to download.
SunoMaster should sell confidence without delivering thin, lofi, or broken masters.
The old bass-thinning filter is not part of the current production chain.
Stem jobs run input and output quality guards before delivery.
Full Master uses light compression, conservative EQ, and a limiter ceiling around -1 dB.
Credits can be used across SunoMaster and other creator actions. Larger packages lower the per-credit cost.
Start with a free check, buy credits, or upload directly if you already have enough credits.