Does this skill support PDF security features?

Yes, it provides instructions for adding password protection, decrypting files, and applying watermarks to documents.

Which Python libraries are included in this guide?

The skill covers pypdf for basic operations, pdfplumber for advanced extraction, and reportlab for document creation.

Can this skill handle scanned PDF documents?

Yes, the toolkit provides implementation patterns for OCR using pytesseract and pdf2image to convert scanned pages into searchable text.

Can I use command-line tools for PDF processing?

Absolutely. It includes comprehensive commands for CLI utilities such as qpdf, pdftotext, and pdftk for rapid document manipulation.

How do I extract tables from a PDF using this skill?

The toolkit demonstrates how to use pdfplumber to identify and convert PDF tables directly into Python lists or Pandas DataFrames.

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: dobeutech

bydobeutech

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Productivity & Workflow

Automates PDF document manipulation, data extraction, and programmatic generation within Claude Code.

About

This skill provides Claude with a comprehensive framework for managing PDF documents programmatically. It streamlines complex tasks such as extracting structured tables and text, merging or splitting files, and generating professional reports from scratch. By integrating powerful Python libraries like pypdf, pdfplumber, and reportlab, along with versatile CLI tools like qpdf, this toolkit enables Claude to handle document-heavy workflows, form filling, and even OCR for scanned files with precision and efficiency.

Key Features

Seamless document merging, splitting, and rotation
Automated PDF form filling and metadata management
Advanced support for OCR, watermarking, and password encryption
High-precision text and table extraction using pdfplumber
1 GitHub stars
Dynamic PDF generation and layout design with ReportLab

Use Cases

Generating batch reports, certificates, or invoices from application databases
Automating the extraction of financial data from PDF invoices into structured formats
Building automated document processing pipelines for merging and securing corporate files

About

Key Features

Seamless document merging, splitting, and rotation
Automated PDF form filling and metadata management
Advanced support for OCR, watermarking, and password encryption
High-precision text and table extraction using pdfplumber
1 GitHub stars
Dynamic PDF generation and layout design with ReportLab

Use Cases

Generating batch reports, certificates, or invoices from application databases
Automating the extraction of financial data from PDF invoices into structured formats
Building automated document processing pipelines for merging and securing corporate files