Does it support command-line PDF tools?

Absolutely. It includes patterns for popular CLI utilities such as qpdf for merging, poppler-utils for text extraction, and pdftk for page rotation.

Can this skill help with password-protected PDFs?

Yes, it provides code snippets and CLI commands for both encrypting new PDFs with user/owner passwords and decrypting existing secured files.

Which Python libraries does this skill support?

The skill provides patterns for pypdf (basic operations), pdfplumber (table extraction), reportlab (PDF generation), and pytesseract (OCR).

Can I use this skill to extract tables from a PDF?

Yes, it includes specific implementation guides for using pdfplumber to identify and convert PDF tables into pandas DataFrames or Excel files.

How do I handle scanned PDFs that aren't searchable?

The skill includes a 'Common Tasks' section that demonstrates how to use pdf2image and pytesseract to perform Optical Character Recognition (OCR) on scanned documents.

PDF Processing & Manipulation

Name: PDF Processing & Manipulation
Author: thanhinfore

bythanhinfore

Productivity & Workflow

Provides comprehensive patterns for programmatically extracting, creating, merging, and analyzing PDF documents.

About

The PDF Processing & Manipulation skill equips Claude with a robust toolkit for handling complex document tasks using Python libraries like pypdf, pdfplumber, and reportlab, as well as powerful command-line utilities. It is specifically designed to streamline document workflows, allowing users to automate the extraction of structured data from tables, merge or split large document sets, generate dynamic PDF reports from scratch, and even perform OCR on scanned images. By centralizing best practices for document handling, this skill enables Claude to act as a sophisticated document engineer for any project requiring scaleable PDF management.

Key Features

Manage document security including password encryption and decryption
0 GitHub stars
Extract structured text and tables using pdfplumber and pandas
Perform OCR on scanned documents via pytesseract integration
Merge, split, and rotate PDF pages programmatically with pypdf
Generate dynamic, multi-page PDF reports from scratch using reportlab

Use Cases

Automating the extraction of line items from financial invoices into structured data formats
Generating automated PDF certificates or reports based on database entries
Building batch processing scripts to reorganize, watermark, and encrypt company documents

About

Key Features

Manage document security including password encryption and decryption
0 GitHub stars
Extract structured text and tables using pdfplumber and pandas
Perform OCR on scanned documents via pytesseract integration
Merge, split, and rotate PDF pages programmatically with pypdf
Generate dynamic, multi-page PDF reports from scratch using reportlab

Use Cases

Automating the extraction of line items from financial invoices into structured data formats
Generating automated PDF certificates or reports based on database entries
Building batch processing scripts to reorganize, watermark, and encrypt company documents