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

For complex table extraction, pdfplumber is the recommended tool as it provides granular control over table boundaries and handles multi-line cell text better than basic extraction libraries.

Is it possible to password-protect my PDFs via this skill?

Yes, the skill includes code snippets for the pypdf library that demonstrate how to apply user and owner passwords with encryption during the PDF writing process.

What is the fastest way to merge hundreds of PDF files?

For high-volume merging, the skill recommends using the qpdf command-line tool, which is significantly faster and more memory-efficient than many pure-Python alternatives.

Can I perform OCR on scanned images using this skill?

Yes, the skill provides implementation patterns using pytesseract and pdf2image to convert image-based PDF pages into searchable text strings.

How do I handle subscripts and superscripts in ReportLab?

Always use XML markup tags like and within Paragraph objects. Avoid using Unicode characters directly, as built-in PDF fonts often fail to render them correctly.

PDF Processing Suite

Name: PDF Processing Suite
Author: CoralShades

byCoralShades

0•

生産性とワークフロー

Manipulates, creates, and extracts data from PDF documents using Python libraries and command-line utilities.

This skill provides a comprehensive framework for programmatic PDF operations within Claude, enabling seamless text and table extraction, document merging, and page manipulation. It integrates industry-standard tools like pypdf, pdfplumber, and reportlab for Python-based workflows, alongside qpdf and poppler-utils for high-performance command-line tasks. Designed for developers and data analysts, it facilitates everything from basic file splitting to advanced OCR on scanned documents and dynamic PDF generation with complex styling.

主な機能

01Merge, split, rotate, and watermark PDF pages programmatically

020 GitHub stars

03Extract structured text and complex tables with layout preservation

04Secure documents with password protection and 128-bit/256-bit encryption

05Generate dynamic PDFs using ReportLab with support for XML markup and custom layouts

06Perform OCR on scanned documents using pytesseract to enable text search

ユースケース

01Processing scanned compliance documents through OCR to index them for full-text search

02Automating the extraction of tabular data from financial statements into structured formats like Excel or CSV

03Building automated document assembly pipelines that merge multiple source files into a single, branded report

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add coralshades/acm-ai pdf

For use in Claude.ai and ChatGPT