Can this skill help me extract data from scanned PDFs?

Yes, it provides implementation patterns for using pytesseract and pdf2image to perform OCR and extract text from scanned document images.

Which Python library is best for extracting tables from a PDF?

This skill recommends pdfplumber for its advanced table extraction capabilities and ability to convert tabular data into pandas DataFrames.

Does this skill support command-line PDF tools?

Yes, it provides quick-reference commands for powerful CLI utilities like qpdf, pdftotext, and pdftk for fast file transformations.

Can I password-protect or encrypt PDFs using this skill?

Yes, it includes guidance on using pypdf to encrypt documents with both user and owner passwords for enhanced security.

PDF Processing & Manipulation

Name: PDF Processing & Manipulation
Author: ttmouse

byttmouse

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内容管理

Provides a comprehensive toolkit for programmatically extracting, creating, merging, and transforming PDF documents using Python and CLI tools.

关于

This skill empowers Claude with specialized knowledge for handling complex PDF tasks, including text and table extraction with layout preservation, programmatic PDF creation via ReportLab, and document manipulation like merging, splitting, and rotating. It covers a wide array of tools from Python libraries like pypdf and pdfplumber to powerful CLI utilities like qpdf, making it an essential resource for automating document workflows, performing OCR on scanned files, or handling PDF forms at scale.

主要功能

25 GitHub stars
Document manipulation including merge, split, and rotate
Text and table extraction with layout preservation
Advanced command-line tool integration for batch processing
Programmatic PDF generation using ReportLab
OCR capabilities for processing scanned documents

使用场景

Building document processing pipelines to merge multiple source files into a single secured PDF
Automating the extraction of tabular data from financial reports into structured spreadsheets
Programmatically generating dynamic PDF invoices or certificates from application data

关于

主要功能

25 GitHub stars
Document manipulation including merge, split, and rotate
Text and table extraction with layout preservation
Advanced command-line tool integration for batch processing
Programmatic PDF generation using ReportLab
OCR capabilities for processing scanned documents

使用场景

Building document processing pipelines to merge multiple source files into a single secured PDF
Automating the extraction of tabular data from financial reports into structured spreadsheets
Programmatically generating dynamic PDF invoices or certificates from application data