Ultimate AI Watermark Remover: Clean Claude & OpenAI Files

AI Watermark Removal: Clean Claude & OpenAI Files

This AI agent skill assists in removing watermarks from multiple AI vendors, including hidden Unicode, statistical sampling watermarks, and embedded metadata in various file formats. It supports provenance surfaces of Claude, Gemini/SynthID-class systems, OpenAI, and open-LLM sampling marks.

What this skill does

• Strips multi-vendor AI provenance from owned files by addressing hidden Unicode and statistical sampling watermarks.
• Removes metadata such as C2PA, EXIF, and XMP from file formats like PNG, JPEG, WebP, SVG, PDF, DOCX, ODT, HTML, and Markdown (MD).
• Offers a clean-up service for AI metadata, ensuring files are free from detectable AI output markers.
• Provides a thin HTTP client requiring no additional installations or scripts on the host.
• Operates through a deterministic cleaning service that uses an internal repository for comprehensive watermark removal.

Who it is for

• Developers and teams utilising AI coding agents like Claude Code, Cursor, and Codex who require clean data outputs free from AI marks.
• Professionals involved in AI development who need to manage and verify AI data provenance on owned files.
• IT specialists seeking to enhance file and data hygiene in their operations and workflows.

Use cases

• Routine cleaning of AI-generated text or files to maintain pristine outputs for reuse or distribution.
• Ensuring metadata secrecy and integrity in sensitive projects where AI detection is a risk.
• Incorporating watermark removal processes into development pipelines to simplify workflow management.

Technical details

• Utilises HTTP calls for service activation and management without dependency on Python environments.
• Accessible via a base URL service typically hosted on `http://127.0.0.1:8765` through `docker compose up -d`.
• Complies with ethical and intended-use guidelines as outlined in referenced documentation.

For authorised security testing, defensive research and educational use only.

Source & Licence

This package is built on open-source work published by ShadowAqueduct (ShadowAqueduct/watermark-remover) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.