Convert academic PDFs into structured Markdown using MinerU APIs.
npx skills add https://github.com/Mang30/myskills --skill pdf-to-md-mineru
Please help me install this Agent Skill. Skill: pdf-to-md-mineru Source: https://github.com/Mang30/myskills/tree/main/skills/pdf-to-md-mineru Command: npx skills add https://github.com/Mang30/myskills --skill pdf-to-md-mineru
Users need a reliable way to turn academic PDFs with complex layouts, tables, and formulas into readable, editable Markdown without manual copy-pasting.
Convert the paper by asking: "Parse this PDF and output the extracted content as Markdown using MinerU."
High-intent search queries and answers about installing and using this skill.
To convert academic PDFs to Markdown while preserving tables and formulas, use this Skill to parse documents via the MinerU cloud API, which outputs structured Markdown. It supports both local uploads and remote URLs.
Yes, you can parse scanned PDF documents to Markdown using OCR. The Skill supports optional OCR-enabled parsing through MinerU, allowing you to extract text from scanned research papers into editable Markdown.
You do not always need an API token to convert PDF to Markdown. You can use the MinerU Agent Lightweight API for smaller files without a token, or the Precise API with a token for larger files and better model options.
The best way to extract content from large research papers into Markdown is using the MinerU Precise API mode. It is token-based and handles larger files with better vlm/pipeline model options for high-fidelity parsing.
To retrieve the Markdown result after parsing a PDF, download the produced Markdown result URL or extract the full.md file from the provided zip archive output by the MinerU parsing process.
Yes, MinerU PDF to Markdown conversion works with remote URLs. The Skill accepts flexible inputs, allowing you to process academic PDFs directly from a remote link or via local file uploads.
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