iyeque-pdf-reader

name: iyeque-pdf-reader description: PDF reader skill using PyMuPDF (fitz) for text extraction and metadata retrieval. Supports encrypted PDFs and handles large documents efficiently. tags: [pdf, reader, text-extraction, metadata, pymupdf] version: 1.0.0 author: iyeque source: https://clawhub.ai/iyeque/iyeque-pdf-reader requirements: - PyMuPDF (fitz) install: pip install pymupdf

PDF Reader (Iyeque)

PDF reader skill for text extraction and metadata retrieval using PyMuPDF.

Installation

pip install pymupdf

Tool API

The skill provides two commands:

1. extract — Extract Text

Extracts plain text from the specified PDF file.

Parameters:

Usage:

# Extract all text
python3 skills/pdf-reader/reader.py extract /path/to/document.pdf

# Extract first 5 pages only
python3 skills/pdf-reader/reader.py extract /path/to/document.pdf --max_pages 5

Output: Plain text content from the PDF.

2. metadata — Get Document Info

Retrieve metadata about the document.

Parameters:

Usage:

python3 skills/pdf-reader/reader.py metadata /path/to/document.pdf

Output: Structured JSON with document metadata.

Metadata Fields

Example Output

Extract Output

Plain text content from the PDF...

Metadata Output

{
  "title": "Annual Report 2024",
  "author": "John Doe",
  "creationDate": "D:20240115120000Z",
  "creator": "Microsoft Word",
  "producer": "Adobe PDF Library",
  "format": "PDF 1.7"
}

Features

• Fast extraction using PyMuPDF (fitz)
• Metadata retrieval including creation/modification dates
• Page limiting with --max_pages for large documents
• Encrypted PDF support (password required if applicable)
• Error handling for corrupted or malformed PDFs

When to Use This Skill

• Extract text content from PDF files
• Get document metadata (title, author, dates)
• Process multiple PDFs for analysis
• Quick PDF content preview
• Academic paper text extraction

Python API Alternative

You can also use PyMuPDF directly in Python:

import fitz  # PyMuPDF

# Open PDF
doc = fitz.open("document.pdf")

# Get metadata
print(doc.metadata)

# Extract text from all pages
for page in doc:
    text = page.get_text()
    print(text)

# Extract from specific page
page = doc[0]  # First page (0-indexed)
text = page.get_text()

Notes

• Uses PyMuPDF (imported as fitz) for fast, reliable PDF processing
• Supports encrypted PDFs (will modify if password required)
• Handles large PDFs efficiently with --max_pages option
• Returns error message if file not found or invalid PDF

Error Handling