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synthid · GitHub Topics · GitHub

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synthid

Here are 45 public repositories matching this topic...

Strip multi-vendor AI provenance marks: Unicode text hygiene, statistical rewrite hooks, and C2PA/metadata from PNG/JPEG/SVG/PDF/DOCX/HTML/MD

  • Updated Aug 19, 2026
  • Python

Remove visible and invisible AI watermarks and provenance metadata from images and video. Python library and CLI for SynthID, C2PA, EXIF, IPTC, XMP, and common generative-AI marks.

  • Updated Aug 19, 2026
  • Python

Remove invisible AI watermarks (SynthID, StableSignature, TreeRing) and strip AI metadata from images. Open-source CLI & Python toolkit.

  • Updated Feb 24, 2026
  • Python

Cross platform CLI tool for removing watermarks from images and videos generated by Google Gemini, Veo, and NotebookLM.

  • Updated Aug 13, 2026
  • C

🍌 Remove invisible AI watermarks from Google Gemini images — npm package

  • Updated Mar 8, 2026
  • JavaScript

AI watermark removal built for Apple Silicon. SynthID-class pixel regeneration, visible vendor labels and provenance metadata, with every pipeline decision measured on Metal.

  • Updated Aug 19, 2026
  • Python

Invisible, key-verifiable watermarks for AI/LLM-generated text — SynthID-Text-style, in Rust + WebAssembly (Node + browser). Live playground included.

  • Updated Aug 16, 2026
  • Rust

A specialized tool for removing invisible AI watermarks, such as Google SynthID, from images.

  • Updated Feb 4, 2026
  • Python

Strip EXIF, GPS, C2PA / Content Credentials, AI watermarks, and Stable Diffusion / ComfyUI / Midjourney / ChatGPT prompt blocks from any image. Three modes: safe (pixel-identical), paranoid (re-encode), nuclear (disrupt SynthID/Digimarc). CLI + macOS desktop app. 100% offline.

  • Updated May 21, 2026
  • Python

Remove invisible AI watermarks and manage metadata from images generated by popular AI models like DALL-E, Midjourney, and Stable Diffusion.

  • Updated Aug 19, 2026
  • Python

ComfyUI custom nodes for detecting provenance marks, removing visible and invisible AI watermarks, stripping metadata, and erasing selected regions.

  • Updated Aug 18, 2026
  • Python

AI watermarker for images and text that replicates SynthID's functionality.

  • Updated Mar 12, 2025
  • Jupyter Notebook

Research demo: scrub generative text watermarks (e.g. SynthID-Text) via H-token sliding-window MLM token replacement. Gradio UI, multilingual (ModernBERT / mmBERT).

  • Updated Aug 16, 2026
  • Python

An invisible watermark is still a signal. A lightweight CNN ensemble that detects SynthID — the imperceptible watermark in ChatGPT / GPT-Image-2 images — trained on a laptop and validated against the official verifier.

  • Updated May 21, 2026
  • Python

Find and remove AI provenance signals from files you own: hidden Unicode, token watermarks, visible image marks, and C2PA/EXIF/XMP metadata. Zero-dependency Python 3.10+ core; models, GPUs, and system binaries sit behind opt-in adapters.

  • Updated Aug 18, 2026
  • Python

Research-only AI watermark & provenance robustness toolkit: local reverse proxy (OpenAI/Anthropic/Gemini) + CLI stripping C2PA/EXIF/XMP, zero-width & homoglyph Unicode, KGW text watermarks, DWT/Tree-Ring image stego, AudioSeal, PDF/DOCX/PPTX/XLSX metadata, and Trojan Source (CVE-2021-42574) code scanning.

  • Updated Aug 16, 2026
  • Python

Remove invisible AI watermarks from Google Gemini images using precise reverse alpha blending to restore original pixels without quality loss.

  • Updated Aug 19, 2026
  • JavaScript

Open-source AI text watermark remover for Unicode artifacts, with detector-scoped evaluation of published statistical LLM watermark schemes.

  • Updated Aug 19, 2026
  • Python

A red-teaming and robustness evaluation framework for statistical AI watermarks (SynthID, Kirchenbauer, AWT) against cross-model paraphrase attacks and perturbations.

  • Updated Aug 19, 2026
  • Python

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