PDF Text Extraction
SkillFiles & storageExtract text from PDF files using Python libraries (PyPDF2, pdfplumber) for content analysis and classification.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the PDF Text Extraction skill
What this skill tells your AI
The instructions your AI receives, as published by cxcscmu/skilllearnbench in skills/b1-one-shot-claude-opus-4-6/organize-messy-files/pdf-text-extraction/SKILL.md and read by ahel’s review.
Libraries
- PyPDF2: Fast, good for simple text extraction
- pdfplumber: Better for complex layouts, tables
Usage Pattern
import PyPDF2
def extract_pdf_text(filepath, max_pages=3):
"""Extract text from first few pages of a PDF for classification."""
text = ""
try:
with open(filepath, 'rb') as f:
reader = PyPDF2.PdfReader(f)
for i, page in enumerate(reader.pages[:max_pages]):
text += page.extract_text() or ""
except Exception:
pass
return text
Tips
- Reading only the first 2-3 pages is usually sufficient for topic classification
- Some PDFs have no extractable text (scanned images) - fallback to filename
- Always wrap in try/except as some PDFs may be corrupted
Signals
- GitHub stars
- 83
- Forks
- 5
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
pdf-text-extraction- Source
- github.com/cxcscmu/skilllearnbench