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SunoCleanser

An app that tries to minimize SUNO's artifacts and noises

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GITHUB · launched Oct 20, 2026 · 16 upvotes (top 71%)

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Could you build this?

Partial A UI and processing pipeline wrapping audio tools is vibe-codeable, but meaningfully reducing SUNO's artifacts depends on signal-processing or ML source-separation quality that a simple app won't match.

What it would actually take: Build a web or desktop app that runs audio through an existing separation or restoration model such as Demucs, plus denoising and spectral-repair filters. Getting real artifact reduction requires audio DSP and ML knowledge to tune models and evaluate output quality. A strong version benefits from access to GPUs for inference and a set of labeled SUNO outputs to test against.

Competitors

Other products that read as similar to this one : 2779 launches clear the similarity bar, closest 8 shown.

Attention rank: #1982 of 2780 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 354 days after the earliest competitor.

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