What Python libraries are supported by this skill?

This skill provides implementation patterns for pypdf, pdfplumber, ReportLab, and pytesseract.

Does this skill support OCR for scanned documents?

Yes, it includes instructions for using pytesseract and pdf2image to extract text from non-searchable or image-based PDF files.

How do I handle password-protected PDFs?

The skill provides specific scripts for both encrypting and decrypting PDFs using pypdf and qpdf.

Can I extract tables from PDFs into Excel?

Yes, the skill includes guides for using pdfplumber and Pandas to convert PDF tables into structured Excel-ready dataframes.

Can I use this for command-line PDF tools?

Definitely. It covers popular CLI utilities like qpdf, pdftotext, and pdftk for efficient terminal-based document handling.

PDF Processing & Automation

Name: PDF Processing & Automation
Author: davila7

bydavila7

•

12,827

Content Management

Automates complex PDF manipulation tasks including structured data extraction, document merging, programmatic generation, and OCR processing.

About

The Document Processing skill provides Claude with a comprehensive toolkit for handling PDF files at scale. It offers standardized implementation patterns for extracting text and tables into structured formats like Pandas DataFrames, merging or splitting documents, and generating professional reports from scratch using ReportLab. This skill is particularly useful for developers building automation workflows that require parsing invoices, secure document handling with encryption, or converting scanned image-based PDFs into searchable text via OCR.

Key Features

Advanced file manipulation including merging, splitting, and page rotation
Security management for password protection, decryption, and watermarking
High-fidelity text and table extraction using pdfplumber and pdftotext
OCR capabilities for processing scanned documents using pytesseract
Programmatic PDF creation and report generation with ReportLab
12,827 GitHub stars

Use Cases

Batch processing and merging multiple legal documents into unified, encrypted files
Generating dynamic, branded PDF reports and certificates from database records
Automating the extraction of tabular data from financial statements into Excel

About

Key Features

Advanced file manipulation including merging, splitting, and page rotation
Security management for password protection, decryption, and watermarking
High-fidelity text and table extraction using pdfplumber and pdftotext
OCR capabilities for processing scanned documents using pytesseract
Programmatic PDF creation and report generation with ReportLab
12,827 GitHub stars

Use Cases

Batch processing and merging multiple legal documents into unified, encrypted files
Generating dynamic, branded PDF reports and certificates from database records
Automating the extraction of tabular data from financial statements into Excel