Can this skill handle scanned PDF documents?

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

Can I export PDF tables to Excel using this skill?

Yes, it provides specific code examples for extracting tables with pdfplumber and converting them into pandas DataFrames for Excel export.

Does this skill support CLI-based PDF manipulation?

Yes, it includes documentation for powerful command-line tools like qpdf, pdftotext, and pdftk for rapid file processing.

What Python libraries are supported by this skill?

The toolkit provides guidance for pypdf (basic operations), pdfplumber (table/text extraction), and reportlab (document creation).

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: K-Dense-AI

byK-Dense-AI

•

3,719

Content Management

Manipulates, extracts, and creates PDF documents programmatically using Python libraries and command-line tools.

About

This skill provides a comprehensive toolkit for programmatic PDF management within Claude. It enables users to extract text and tables with layout preservation, merge or split files, create documents from scratch, and perform OCR on scanned PDFs. By integrating popular libraries like pypdf, pdfplumber, and reportlab, it streamlines document processing workflows, including metadata extraction, watermarking, and the automated generation of scientific schematics for publication-quality reports.

Key Features

Dynamic PDF creation and multi-page report generation via reportlab
High-fidelity text and table extraction using pdfplumber
Advanced command-line integration with qpdf and poppler-utils
3,719 GitHub stars
OCR capabilities for scanned documents using pytesseract and pdf2image
Comprehensive page manipulation including merging, splitting, and rotating

Use Cases

Generating customized PDF reports featuring automated scientific diagrams
Automated data extraction from complex financial reports and tables
Batch processing and organization of academic papers or legal documentation

About

Key Features

Dynamic PDF creation and multi-page report generation via reportlab
High-fidelity text and table extraction using pdfplumber
Advanced command-line integration with qpdf and poppler-utils
3,719 GitHub stars
OCR capabilities for scanned documents using pytesseract and pdf2image
Comprehensive page manipulation including merging, splitting, and rotating

Use Cases

Generating customized PDF reports featuring automated scientific diagrams
Automated data extraction from complex financial reports and tables
Batch processing and organization of academic papers or legal documentation