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Watermarks Remover: Clean LLM watermarks from text and files

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Open-source agent skill + stdlib HTTP service that strips invisible Unicode, C2PA/EXIF/XMP, and (best-effort) statistical text marks from files you own. Claude / Gemini-SynthID / OpenAI / Kirchenbauer / keyed-Gumbel class.

HN · launched Aug 28, 2026 · 5 upvotes (top 87%) · 0 views

Niche: watermark removal tools · 23 launches, 4 in the last 7 days ▼ -20% · Explore this niche →

Category and tags

  • Horizontal
  • Content generation
  • Prosumer
  • AI feature
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Partial Stripping invisible Unicode and EXIF/C2PA metadata is trivial, but detecting and removing statistical LLM watermarks (Kirchenbauer, Gumbel) requires specialized statistical algorithms.

What it would actually take: The service needs a pipeline stripping document metadata (using ExifTool or standard PDF/image libraries) and zero-width characters, combined with an LLM token-level re-paraphrasing or perturbed sampling module calibrated to disrupt Kirchenbauer green-red list distributions without altering semantic meaning. Implementing robust statistical watermark removal requires NLP researchers familiar with LLM watermarking literature.

Discussion

1 comment analyzed.

Competitors

Other products that read as similar to this one : 246 launches clear the similarity bar, closest 8 shown.

Attention rank: #238 of 247 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 289 days after the earliest competitor.

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