Can this skill handle scanned PDF documents?

Yes, the skill includes implementation patterns for OCR (Optical Character Recognition) using pytesseract and pdf2image to extract text from scanned images.

Which Python library is best for extracting tables?

pdfplumber is the recommended library for extracting tables as it can handle complex layouts and easily convert them into Pandas DataFrames for further analysis.

Can I password protect my generated PDFs?

Yes, the skill includes examples of how to use pypdf's encryption features to add user and owner passwords to your documents for secure distribution.

Is it possible to merge or split PDF files programmatically?

Absolutely. The skill provides code snippets for using pypdf and CLI tools like qpdf to merge multiple files or split documents into individual pages.

PDF Processing & Manipulation

Name: PDF Processing & Manipulation
Author: zhu1090093659

byzhu1090093659

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Content Management

Provides a comprehensive toolkit for programmatically extracting text, tables, and images from PDFs while supporting document generation and document merging.

About

This Claude Code skill equips developers with a standardized set of tools and implementation patterns for advanced PDF operations. It integrates popular Python libraries like pypdf and pdfplumber with powerful CLI utilities like qpdf, enabling tasks such as text extraction with layout preservation, automated table parsing into DataFrames, OCR for scanned documents, and the programmatic creation of complex reports. Whether you need to automate form filling or process large-scale document archives, this skill provides the necessary guidance and code snippets to streamline your document workflow within the Claude Code environment.

Key Features

OCR support for extracting text from scanned documents via Tesseract integration.
Advanced page manipulation including merging, splitting, and rotation.
Text and table extraction using pdfplumber with layout preservation.
Document security features including password protection and metadata management.
Dynamic document generation and report creation using reportlab.
45 GitHub stars

Use Cases

Automating the extraction of financial data from PDF invoices into structured formats like Excel.
Programmatically merging multiple documentation assets or splitting large archives for processing.
Generating dynamic, data-driven business reports, certificates, and invoices.

About

Key Features

OCR support for extracting text from scanned documents via Tesseract integration.
Advanced page manipulation including merging, splitting, and rotation.
Text and table extraction using pdfplumber with layout preservation.
Document security features including password protection and metadata management.
Dynamic document generation and report creation using reportlab.
45 GitHub stars

Use Cases

Automating the extraction of financial data from PDF invoices into structured formats like Excel.
Programmatically merging multiple documentation assets or splitting large archives for processing.
Generating dynamic, data-driven business reports, certificates, and invoices.