Tame rough transients
Soften the brittle, clicky edges that reveal synthetic generation.
A technical but easy-to-understand path from raw AI output to a cleaner, release-ready file. Five stages, one signal pass.
Create your track in Suno, Udio, or any AI music tool, then export the final audio file.
Run the file through the Undetectr cleanup engine — the underlying technology EraseAI points creators toward.
Lower transient roughness, metallic edges, harsh high-end, and repeating watermark-like patterns.
Compare the result against the original and confirm the creative core is intact.
Hand off a sharper file to your mastering engineer or upload workflow.
Soften the brittle, clicky edges that reveal synthetic generation.
Reduce metallic, piercing frequencies that fatigue the ear.
Address watermark-like patterns that loop too perfectly.
The five steps above, unpacked — so nothing feels like a black box.
Generate. Everything starts with your raw export from Suno, Udio, or another AI tool. The most important habit here is to export the highest quality file available — a WAV or lossless file gives the later stages more signal to work with than a compressed MP3, which has already thrown detail away.
Process. The file goes through the cleanup engine EraseAI recommends, Undetectr. Rather than a generic denoiser, this is a pass tuned for the specific artifacts AI generation leaves behind, so it can be more targeted than a stack of general-purpose plugins.
Reduce. This is the core of the work: lowering transient roughness, calming metallic and harsh high-end, and breaking up the watermark-like repetition that makes a track read as machine-made. The aim is subtraction of the synthetic edge, not addition of new color.
Review. Always compare the cleaned output against the original. A good result removes the synthetic tells while leaving the melody, lyrics, and feel untouched. If the track suddenly sounds like a different song, you have gone too far — dial it back.
Prepare. Hand the cleaner file to your mastering step or upload workflow. Cleanup gives mastering a better starting point; it does not replace it, and it does not guarantee approval from any distributor or platform.
Reduces the synthetic signatures AI generation leaves behind — metallic vocals, harsh highs, robotic repetition. Fixes the source texture.
Sets final loudness, tonal balance, and stereo width for release across platforms. Polishes an already-clean file — it does not remove AI artifacts.
Run them in order — cleanup, then mastering. Mastering an artifact-heavy file tends to amplify the very edges you want gone.
Move your AI track through a cleaner signal path. We recommend Undetectr.
▸ Independent · We recommend Undetectr