{"product_id":"ultimate-ai-watermark-remover-clean-claude-openai-files","title":"Ultimate AI Watermark Remover: Clean Claude \u0026 OpenAI Files","description":"\u003ch3\u003eAI Watermark Removal: Clean Claude \u0026amp; OpenAI Files\u003c\/h3\u003e\n\n\u003cp\u003eThis 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.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eStrips multi-vendor AI provenance from owned files by addressing hidden Unicode and statistical sampling watermarks.\u003c\/li\u003e\n    \u003cli\u003eRemoves metadata such as C2PA, EXIF, and XMP from file formats like PNG, JPEG, WebP, SVG, PDF, DOCX, ODT, HTML, and Markdown (MD).\u003c\/li\u003e\n    \u003cli\u003eOffers a clean-up service for AI metadata, ensuring files are free from detectable AI output markers.\u003c\/li\u003e\n    \u003cli\u003eProvides a thin HTTP client requiring no additional installations or scripts on the host.\u003c\/li\u003e\n    \u003cli\u003eOperates through a deterministic cleaning service that uses an internal repository for comprehensive watermark removal.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eDevelopers and teams utilising AI coding agents like Claude Code, Cursor, and Codex who require clean data outputs free from AI marks.\u003c\/li\u003e\n    \u003cli\u003eProfessionals involved in AI development who need to manage and verify AI data provenance on owned files.\u003c\/li\u003e\n    \u003cli\u003eIT specialists seeking to enhance file and data hygiene in their operations and workflows.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eRoutine cleaning of AI-generated text or files to maintain pristine outputs for reuse or distribution.\u003c\/li\u003e\n    \u003cli\u003eEnsuring metadata secrecy and integrity in sensitive projects where AI detection is a risk.\u003c\/li\u003e\n    \u003cli\u003eIncorporating watermark removal processes into development pipelines to simplify workflow management.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eUtilises HTTP calls for service activation and management without dependency on Python environments.\u003c\/li\u003e\n    \u003cli\u003eAccessible via a base URL service typically hosted on `http:\/\/127.0.0.1:8765` through `docker compose up -d`.\u003c\/li\u003e\n    \u003cli\u003eComplies with ethical and intended-use guidelines as outlined in referenced documentation.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eFor authorised security testing, defensive research and educational use only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003eShadowAqueduct\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/ShadowAqueduct\/watermark-remover\" rel=\"nofollow noopener\" target=\"_blank\"\u003eShadowAqueduct\/watermark-remover\u003c\/a\u003e) and distributed under \u003cstrong\u003eMIT\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.\u003c\/p\u003e\n\u003cp\u003eYour 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.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis 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.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, 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.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":52890673447223,"sku":"MCP-SHADOWAQUEDUCT-WATERMARK-REMOVER-REMOVE-AI-MARKS","price":10.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/87NLTyLc48MkknQpyyV3_75e17ff04b3c45878be30d6a2db47d66.jpg?v=1787562620","url":"https:\/\/mcpcart.com\/products\/ultimate-ai-watermark-remover-clean-claude-openai-files","provider":"SPF PRO","version":"1.0","type":"link"}