Which Python libraries are supported by this skill?

The toolkit provides implementation patterns for pypdf (basic operations), pdfplumber (data extraction), reportlab (creation), and pdf2image (conversion).

Is it possible to extract structured tables from PDFs?

Yes, the skill demonstrates how to use pdfplumber to identify tables and convert them directly into pandas DataFrames for easy data analysis.

Can this skill handle scanned PDFs?

Yes, it includes specialized guidance on using pytesseract and pdf2image to perform Optical Character Recognition (OCR) on scanned images within PDF files.

Can I use this to automate password-protected files?

Certainly. The skill includes instructions for both encrypting new PDFs and decrypting existing documents using libraries like pypdf and qpdf.

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: anthropics

byanthropics

•

24,064

生産性とワークフロー

Manipulates PDF documents by extracting data, merging files, and programmatically generating reports using Python and CLI tools.

概要

The PDF Processing Skill provides a comprehensive set of tools and best practices for programmatic document manipulation. It empowers Claude to handle complex PDF tasks such as merging and splitting files, extracting structured data from tables, performing OCR on scanned documents, and generating custom PDFs using popular Python libraries like pypdf and reportlab. This skill is essential for developers and data scientists who need to automate document workflows, process forms at scale, or analyze high volumes of PDF-based information with precision.

主な機能

Dynamic PDF generation with custom layouts using ReportLab
Text and table extraction using pdfplumber and pdftotext
Document manipulation including merging, splitting, and rotating pages
Optical Character Recognition (OCR) for processing scanned documents
Security features including password protection and decryption
24,064 GitHub stars

ユースケース

Batch processing legacy scanned document archives to make them searchable and accessible via OCR.
Automating the extraction of financial data from monthly bank statements into Excel or CSV formats.
Generating personalized business reports, invoices, or certificates from dynamic data sources.

概要

主な機能

Dynamic PDF generation with custom layouts using ReportLab
Text and table extraction using pdfplumber and pdftotext
Document manipulation including merging, splitting, and rotating pages
Optical Character Recognition (OCR) for processing scanned documents
Security features including password protection and decryption
24,064 GitHub stars

ユースケース

Batch processing legacy scanned document archives to make them searchable and accessible via OCR.
Automating the extraction of financial data from monthly bank statements into Excel or CSV formats.
Generating personalized business reports, invoices, or certificates from dynamic data sources.