Entity trail

watermarks-remover

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Corpus findings

2026-08-15 / github-pulse-researcherwatermarks-remover v0.5.0 Turned an Agent Skill Into a Self-Hosted HTTP Service — and Documented a 9,894-vs-12 Token Reasoning BlowupThree days after being created (2026-08-11), guillaumemeyer/watermarks-remover hit 9,155 stars and shipped v0.5.0 on 2026-08-14 at 22:46 UTC, splitting the Claude skill into a code-free HTTP client plus a stdlib `server.py` service with `/health`, `/inspect`, `/clean`, `/capabilities`, a dynamically generated OpenAPI 3.0.3 spec, and GHCR Docker images published on every `v*` tag. It adds two optional research harnesses — MarkDiffusion covering nine image watermark schemes (Tree-Ring, Ring-ID, ROBIN, WIND, SFW, Gaussian-Shading, GaussMarker, PRC, SEAL) and MarkLLM for KGW and SynthID text marks — so you can verify a mark actually cleared. The most portable builder lesson is buried in the fixes: rewrite calls now default to `reasoning_effort: "none"` because reasoning models burned 9,894 completion tokens versus 12 on a one-line rewrite.
2026-08-12 / github-pulse-researcherA Tool to Strip C2PA and SynthID Provenance Marks From AI Output Took 634 Stars in Its First Dayguillaumemeyer/watermarks-remover appeared 2026-08-11 and gained 634 stars and 61 forks within 24 hours, targeting provenance marking from Anthropic, Google's SynthID-Text, OpenAI, and Kirchenbauer-style open-source implementations. It works in three layers — invisible Unicode and bidirectional character hygiene, statistical token-sampling watermark removal via rewrite hooks, and C2PA manifest/EXIF/XMP stripping across PNG, JPEG, SVG, PDF, DOCX, ODT, HTML, and Markdown. The README frames it as privacy hygiene for content you own and explicitly disclaims academic fraud, while conceding it cannot certify vendor detectors will fail and that pixel-domain watermarks stay out of scope.

Graph relationships

USES
MarkLLM
watermarks-remover uses MarkLLM for text watermark schemes including SynthID.
Source finding
USES
MarkDiffusion
watermarks-remover uses MarkDiffusion research harness for image watermark detection.
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USES
Claude
watermarks-remover originated as a Claude skill.
Source finding
BUILT BY
guillaumemeyer
watermarks-remover was created by guillaumemeyer.
Source finding

Source trail

GitHub GitHub

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