Can I use this to automate PDF form filling?

Absolutely. The skill includes specific guidance and reference links for filling out PDF forms programmatically using libraries like pdf-lib or pypdf.

Can I extract tables from PDFs using this skill?

Yes, the skill includes patterns for using pdfplumber to extract tables and convert them into structured formats like Pandas DataFrames.

Does this skill support OCR for scanned documents?

Yes, it provides implementation guides for integrating pytesseract and pdf2image to process non-selectable text in scanned files.

What libraries are recommended for creating new PDFs?

The skill prioritizes ReportLab for sophisticated document generation, offering examples for both basic canvas drawing and complex Platypus templates.

Is it possible to password-protect documents?

Yes, the toolkit provides code snippets for encrypting PDFs with user and owner passwords using the pypdf library.

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: arthur0824hao

byarthur0824hao

Content Management

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

About

The PDF Processing Toolkit is a comprehensive suite for handling PDF documents directly within Claude Code. It provides domain-specific guidance for using powerful libraries like pypdf, pdfplumber, and reportlab to extract text and tables, merge or split documents, and create new PDFs from scratch. Whether you need to automate form filling, perform OCR on scanned documents, or protect sensitive files with encryption, this skill provides the implementation patterns and command-line strategies to process PDF data at scale with high precision.

Key Features

Programmatically generate PDFs using ReportLab templates
Manage security with password protection and watermarking
Perform document operations like merging, splitting, and rotating
0 GitHub stars
Extract text and complex tabular data with pdfplumber
Implement OCR for scanned PDFs using pytesseract integration

Use Cases

Generating branded PDF reports and invoices from raw application data
Automating the extraction of financial data from monthly bank statements
Batch processing document archives to merge related files or add watermarks

About

Key Features

Programmatically generate PDFs using ReportLab templates
Manage security with password protection and watermarking
Perform document operations like merging, splitting, and rotating
0 GitHub stars
Extract text and complex tabular data with pdfplumber
Implement OCR for scanned PDFs using pytesseract integration

Use Cases

Generating branded PDF reports and invoices from raw application data
Automating the extraction of financial data from monthly bank statements
Batch processing document archives to merge related files or add watermarks