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文档与办公 · SKILL.md

pymupdf-pdf

pymupdf-pdf

【文档与办公】Fast local PDF parsing with PyMuPDF (fitz) for Markdown/JSON outputs and optional images/tables. Use when speed matters more than robustness, or as a fallback while heavier parsers are unavailable. Default to single-PDF parsing with per-document output folders.

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技能说明

GitHub

name: pymupdf-pdf description: Fast local PDF parsing with PyMuPDF (fitz) for Markdown/JSON outputs and optional images/tables. Use when speed matters more than robustness, or as a fallback while heavier parsers are unavailable. Default to single-PDF parsing with per-document output folders.

PyMuPDF PDF

Overview

Parse PDFs locally using PyMuPDF for fast, lightweight extraction into Markdown by default, with optional JSON and image/table outputs in a per-document directory.

Prereqs / when to read references

If you hit import errors (PyMuPDF not installed) or Nix libstdc++ issues, read:

  • references/pymupdf-notes.md

Quick start (single PDF)

# Run from the skill directory
./scripts/pymupdf_parse.py /path/to/file.pdf \
  --format md \
  --outroot ./pymupdf-output

Options

  • --format md|json|both (default: md)
  • --images to extract images
  • --tables to extract a simple line-based table JSON (quick/rough)
  • --outroot DIR to change output root
  • --lang adds a language hint into JSON output metadata

Output conventions

  • Create ./pymupdf-output/<pdf-basename>/ by default.
  • Markdown output: output.md
  • JSON output: output.json (includes lang)
  • Images: images/ subdir
  • Tables: tables.json (rough line-based)

Notes

  • PyMuPDF is fast but less robust on complex PDFs.
  • For more robust parsing, use a heavy-duty OCR parser (e.g., MinerU) if installed.
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