Convert Academic PDFs to Markdown with Sanmu-Doc2MD AI Tool

Convert Academic PDFs to Markdown with Sanmu-Doc2MD AI Tool

The Sanmu-Doc2MD AI Tool facilitates the transformation of academic PDFs, PPTX files, and scanned documents into Markdown format, meticulously preserving LaTeX equations, high-resolution graphics, and their original page numbers for seamless integration with knowledge management platforms such as Obsidian. The tool is particularly designed to assist users in chapter-based textbook conversion, lecture notes creation, and journal or thesis archiving, while ensuring the accuracy of OCR results for equations and images. Additionally, it allows synchronization with Zotero, managing metadata, notes, and PDF annotations effectively.

What this skill does

• Converts academic documents (PDF, PPTX, scanned) into Markdown while maintaining LaTeX equations and image quality.
• Adapts the converted content for use with knowledge-based platforms like Obsidian.
• Synchronizes with Zotero to manage document metadata, notes, and PDF annotations.
• Employs MinerU OCR for reliable text and graphic retrieval from scanned files.
• Offers a command-line interface for streamlined processing tasks and setup.

Who it is for

• Developers and teams utilizing AI coding agents such as Claude Code, Cursor, and Codex.
• Researchers, educators, and academic professionals needing efficient document management.
• Individuals requiring precise conversion of academic materials without loss of content integrity.

Use cases

• Converting textbooks into Markdown format by chapters for enhanced accessibility and storage.
• Transforming lecture presentations into structured notes that capture all essential equations and graphics.
• Archiving journal papers and theses with an emphasis on maintaining supplementary material linkage and page-origin references.
• Conducting accurate OCR conversion where the source document lacks native text layers.

Technical details

• Utilizes Python dependencies and KaTeX for rendering LaTeX content accurately.
• Incorporates the MinerU OCR API for cloud-based text recognition tasks.
• Functions with command-line commands via Node.js scripts for various processing workflows.
• Provides setup instructions to assist users in installing necessary components and handling OCR tokens securely.

Source & Licence

This package is built on open-source work published by luffysolution-svg (luffysolution-svg/sanmu-skills) 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.