Which Python libraries are featured in this skill?

The skill focuses on pypdf for basic manipulation, pdfplumber for advanced data extraction, and reportlab for document creation.

Can I use this for command-line PDF processing?

Absolutely. It covers essential CLI tools like qpdf and poppler-utils for fast, scriptable PDF operations without writing full Python scripts.

Does it support OCR for scanned documents?

Yes, it includes workflows for converting PDF pages to images and using pytesseract to extract text from non-searchable, scanned files.

Can this skill help me extract tables from PDFs?

Yes, it provides specific implementation patterns using pdfplumber and pandas to identify, extract, and convert PDF tables into structured data.

PDF Processing & Automation

Name: PDF Processing & Automation
Author: Jst-Well-Dan

byJst-Well-Dan

Productivity & Workflow

Automates complex PDF document manipulation including text extraction, table parsing, merging, and programmatic document generation.

About

This skill provides a comprehensive toolkit for managing PDF documents programmatically within Claude Code. It equips the assistant with domain-specific knowledge for using high-performance Python libraries like pypdf, pdfplumber, and reportlab, as well as powerful command-line utilities like qpdf and poppler-utils. Whether you are building automated workflows to extract tabular data from invoices, merging hundreds of reports, or generating dynamic PDFs from scratch, this skill provides the implementation patterns and best practices needed for robust document processing.

Key Features

Perform bulk page operations including merging, splitting, and rotating documents.
Handle document security through encryption, password protection, and watermarking.
Programmatically generate custom PDF reports with text, graphics, and multi-page layouts.
Extract layout-aware text and structured tables into data formats like Pandas DataFrames.
Process scanned documents using OCR (Optical Character Recognition) workflows.
0 GitHub stars

Use Cases

Automating the extraction of financial data from batch-processed PDF invoices.
Generating dynamic, branded PDF certificates or reports from application data.
Standardizing company documentation by merging multiple files and applying watermarks.

About

Key Features

Perform bulk page operations including merging, splitting, and rotating documents.
Handle document security through encryption, password protection, and watermarking.
Programmatically generate custom PDF reports with text, graphics, and multi-page layouts.
Extract layout-aware text and structured tables into data formats like Pandas DataFrames.
Process scanned documents using OCR (Optical Character Recognition) workflows.
0 GitHub stars

Use Cases

Automating the extraction of financial data from batch-processed PDF invoices.
Generating dynamic, branded PDF certificates or reports from application data.
Standardizing company documentation by merging multiple files and applying watermarks.