Extract Markdown with tables and formulas from math PDFs and images.
npx skills add https://github.com/woodfishhhh/EZ_math_model --skill mineru-woodfishhhh
Please help me install this Agent Skill. Skill: mineru Source: https://github.com/woodfishhhh/EZ_math_model/tree/main/skills/ez-math-model/tools/mineru Command: npx skills add https://github.com/woodfishhhh/EZ_math_model --skill mineru-woodfishhhh
It turns hard-to-read math PDFs, scanned images, and complex layouts into editable Markdown so you can extract text, tables, and formulas reliably for modeling and writing.
Use mineru to convert your attached problem PDF into Chinese Markdown by running the flash-extract flow for fast extraction of text, tables, and formulas.
High-intent search queries and answers about installing and using this skill.
To convert math PDFs to Markdown, this tool applies flash-extract or token-based modes to parse complex layouts, preserving tables and formulas into clean editable text for downstream modeling.
Yes, this PDF parsing tool supports Chinese math content by offering language selection like ch and ch_server, specifically handling competition problem PDFs with messy tables and complex formulas.
You can extract tables and math formulas from scanned images by using the API-backed extraction modes, which convert complex layouts and mixed attachments into structured readable Markdown.
The best way to parse complex academic paper layouts is using flash-extract for fast text, table, and formula extraction, yielding clean Markdown content ready for your modeling pipeline.
When API limits or network issues occur during PDF parsing, the tool provides graceful fallbacks and supports a local CLI extraction mode to ensure you still get your Markdown output.
You do not strictly need an Open API key to extract formulas from academic PDFs, as the tool supports local CLI extraction with the right flags, though API-backed modes offer better structure.
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