Does this skill support command-line tools?

Absolutely. It provides guidance and syntax for popular CLI utilities like qpdf, pdftotext, and pdftk for fast, scriptable document operations.

Can I use this skill to extract data from scanned documents?

Yes, the skill includes implementation patterns using pytesseract and pdf2image to perform Optical Character Recognition (OCR) on scanned PDF files.

Which Python libraries are recommended for PDF processing?

This skill focuses on pypdf for basic manipulation, pdfplumber for advanced text/table extraction, and ReportLab for document creation.

Can Claude fill out interactive PDF forms using this skill?

Yes, the toolkit contains specific guidance for programmatically filling out and handling PDF forms using libraries like pdf-lib and pypdf.

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: Okeysir198

byOkeysir198

Content Management

Simplifies complex PDF operations including data extraction, document creation, and programmatic manipulation using Python and command-line tools.

About

The PDF Processing Toolkit provides a standardized set of patterns and tools for Claude to handle diverse PDF management tasks. It enables high-fidelity text and table extraction with layout preservation, programmatic PDF generation via ReportLab, and advanced document operations like merging, splitting, and watermarking. Designed for developers and data scientists, this skill also covers complex scenarios such as OCR for scanned documents, password protection, and automated form filling, ensuring a robust workflow for any document-heavy application.

Key Features

High-accuracy text and tabular data extraction with pdfplumber
OCR capabilities for processing scanned PDFs using pytesseract
Programmatic PDF generation and report styling with ReportLab
CLI integration for batch processing with qpdf and poppler-utils
Comprehensive document manipulation including merging, splitting, and rotating
0 GitHub stars

Use Cases

Automating the extraction of structured data from financial statements and invoices
Building automated document workflows to secure, watermark, or reorganize PDFs
Generating dynamic PDF reports, certificates, or legal documents from code

About

Key Features

High-accuracy text and tabular data extraction with pdfplumber
OCR capabilities for processing scanned PDFs using pytesseract
Programmatic PDF generation and report styling with ReportLab
CLI integration for batch processing with qpdf and poppler-utils
Comprehensive document manipulation including merging, splitting, and rotating
0 GitHub stars

Use Cases

Automating the extraction of structured data from financial statements and invoices
Building automated document workflows to secure, watermark, or reorganize PDFs
Generating dynamic PDF reports, certificates, or legal documents from code