Does it support scanned documents?

Yes, it includes snippets for OCR processing using pytesseract and pdf2image to convert scanned PDF pages into searchable text.

Can I merge multiple PDFs into one?

Yes, it offers both Python-based (pypdf) and command-line (qpdf/pdftk) methods for merging and splitting PDF documents efficiently.

How do I secure my PDF files?

The skill provides code examples for encrypting PDFs with user and owner passwords using the pypdf library, as well as decrypting files using qpdf.

Which Python libraries does this skill support?

It includes implementation patterns for pypdf, pdfplumber, and reportlab, as well as command-line tools like qpdf and pdftotext.

Can I extract tables from PDFs with this skill?

Yes, it provides specific guidance for using pdfplumber to extract tables and convert them into Pandas DataFrames for downstream data analysis.

PDF Processing & Manipulation

Name: PDF Processing & Manipulation
Author: Microck

byMicrock

•

生产力与工作流

Provides a comprehensive toolkit for programmatic PDF creation, extraction, and document processing using Python and command-line utilities.

关于

This Claude Code Skill enables developers to automate complex PDF workflows directly within their coding environment. It integrates powerful libraries like pypdf, pdfplumber, and reportlab to handle tasks ranging from simple text extraction and merging to sophisticated table parsing and dynamic PDF generation. Whether you are building automated report generators, processing scanned documents with OCR, or managing document metadata, this skill provides the patterns and best practices needed for robust document manipulation and analysis.

主要功能

Text and table extraction with layout preservation using pdfplumber
Advanced file operations including merging, splitting, and rotating pages
81 GitHub stars
OCR capabilities for extracting content from scanned documents via pytesseract
Programmatic PDF generation and multi-page report creation with reportlab
Security management including password protection and decryption

使用场景

Automating the extraction of structured financial data from PDF tables into Excel or Pandas DataFrames
Generating dynamic invoices or business reports using Python templates and data sources
Batch processing and merging multiple document fragments into a single cohesive, watermarked file

关于

主要功能

Text and table extraction with layout preservation using pdfplumber
Advanced file operations including merging, splitting, and rotating pages
81 GitHub stars
OCR capabilities for extracting content from scanned documents via pytesseract
Programmatic PDF generation and multi-page report creation with reportlab
Security management including password protection and decryption

使用场景

Automating the extraction of structured financial data from PDF tables into Excel or Pandas DataFrames
Generating dynamic invoices or business reports using Python templates and data sources
Batch processing and merging multiple document fragments into a single cohesive, watermarked file