Extract plain text and metadata from PDF files using PyMuPDF.
npx skills add https://github.com/wentorai/Research-Claw --skill iyeque-pdf-reader
Please help me install this Agent Skill. Skill: iyeque-pdf-reader Source: https://github.com/wentorai/Research-Claw/tree/main/skills/iyeque-pdf-reader Command: npx skills add https://github.com/wentorai/Research-Claw --skill iyeque-pdf-reader
Manual PDF text copying and scattered document properties slow down research and documentation work, especially for long or information-dense papers.
Ask the AI to extract plain text from the PDF at the path you provide, optionally limiting extraction to the first N pages.
High-intent search queries and answers about installing and using this skill.
You can extract plain text from a PDF file by using PyMuPDF to parse the document content, which removes manual copying and accelerates research workflows. This allows you to quickly turn papers into editable content.
Yes, PDF metadata retrieval extracts document-level properties like title, author, creator, and modification dates. This supports sorting, cataloging, and citation workflows without needing manual metadata lookup.
PyMuPDF handles encrypted PDFs and large documents efficiently during text extraction. You can also apply optional page-limiting to extract text from only the first N pages to keep processing efficient.
The best way to preview academic papers is using PyMuPDF for fast text extraction and metadata retrieval. This automates document ingestion by providing quick text previews and bibliographic details directly from the PDF.
You can limit PDF text extraction by specifying an optional page limit when requesting parsing. This restricts PyMuPDF to processing only the first N pages, keeping the extraction efficient for large documents.
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