Can this skill handle scanned PDFs?

Yes, the toolkit includes implementation patterns for using pytesseract and pdf2image to perform Optical Character Recognition (OCR) on scanned document images.

Does this skill support command-line tools?

Yes, it includes quick-reference commands for powerful CLI utilities such as qpdf, pdftk, and poppler-utils for fast batch processing.

Which Python libraries are supported?

The skill provides guidance and code for pypdf, pdfplumber, and reportlab, covering everything from simple manipulation to complex document generation.

Can I extract data from tables within a PDF?

Absolutely. It utilizes pdfplumber to accurately extract tabular data and convert it into structured formats like Pandas DataFrames or Excel files.

PDF Toolkit for Claude

Name: PDF Toolkit for Claude
Author: rysweet

byrysweet

•

Content Management

Automates complex PDF manipulation tasks including data extraction, document generation, and programmatic form processing.

About

This skill empowers Claude to perform high-level PDF operations programmatically using industry-standard Python libraries and command-line utilities. It provides structured patterns for extracting text and tables (including OCR for scanned documents), merging or splitting files, and creating professional reports from scratch. Whether you need to automate data entry from invoices or generate dynamic document packages, this skill provides the essential tools and implementation patterns for scaleable PDF workflows.

Key Features

Generate dynamic, multi-page PDFs using ReportLab
Perform OCR on scanned PDFs using Tesseract and pdf2image
Manage document security with encryption and password protection
Extract structured text and tables with layout preservation
Merge, split, and rotate PDF documents programmatically
16 GitHub stars

Use Cases

Automating data extraction from financial statements and invoices
Generating batch business reports and certificates from data sources
Building automated document processing pipelines for legal or administrative tasks

About

Key Features

Generate dynamic, multi-page PDFs using ReportLab
Perform OCR on scanned PDFs using Tesseract and pdf2image
Manage document security with encryption and password protection
Extract structured text and tables with layout preservation
Merge, split, and rotate PDF documents programmatically
16 GitHub stars

Use Cases

Automating data extraction from financial statements and invoices
Generating batch business reports and certificates from data sources
Building automated document processing pipelines for legal or administrative tasks