Individual skill
pdf-extraction-guide
PDF parsing, text extraction, and document format conversion
skills/tools/document/pdf-extraction-guide/SKILL.md
Source commit bf44b3cd617fa94c8a1b254c5d1987142ca3d631
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 312
- Repository last updated
- Jun 19, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# PDF Extraction Guide
Extract text, tables, figures, and metadata from academic PDFs using Python libraries, with strategies for handling multi-column layouts, mathematical content, and scanned documents.
## PDF Extraction Tools Comparison
| Tool | Text | Tables | Figures | Layout | OCR | Speed |
|------|------|--------|---------|--------|-----|-------|
| PyMuPDF (fitz) | Excellent | Manual | Yes | Blocks | No (add with OCR engine) | Fast |
| pdfplumber | Good | Excellent | No | Tables focus | No | Medium |
| PyPDF2 / pypdf | Basic | No | No | No | No | Fast |
| Tabula-py | No | Excellent | No | No | No | Medium |
| GROBID | Structured | Yes | References | Academic layout | No | Slow (ML-based) |
| Nougat (Meta) | Excellent | Yes | Yes | Academic layout | Built-in | Slow (GPU) |