Can I use this to merge or split large documents?

Absolutely. It includes efficient methods for merging multiple documents, splitting files by page ranges, and extracting specific pages for new documents.

What libraries does this skill use?

It primarily leverages pypdf, pdfplumber, and reportlab for Python, along with CLI tools like qpdf and poppler-utils for comprehensive document handling.

Is it possible to fill out PDF forms with this skill?

Yes, it provides guidance and code implementation patterns for programmatically filling out PDF forms and handling form data.

Can it handle scanned PDFs that aren't text-searchable?

Yes, the skill includes specific patterns for Optical Character Recognition (OCR) using pytesseract and pdf2image to convert scanned images into machine-readable text.

PDF Agent

Name: PDF Agent
Author: partme-ai

bypartme-ai

•

Gestión de Contenido

Manipulates, generates, and extracts data from PDF documents using professional Python libraries and command-line tools.

Acerca de

PDF Agent is a comprehensive toolkit designed to help Claude handle complex PDF operations with precision. It provides specific implementation patterns for extracting structured data from tables, performing OCR on scanned documents, merging or splitting files, and programmatically generating reports. Whether you need to automate document processing workflows, extract data for analysis, or fill out PDF forms at scale, this skill equips Claude with the best practices and code snippets for industry-standard libraries like pypdf, pdfplumber, and reportlab.

Características Principales

Secure document handling with password protection and decryption
Perform OCR on scanned PDFs using pytesseract and pdf2image
Advanced document manipulation including merging, splitting, and rotating
Extract text and structured table data from complex PDF layouts
37 GitHub stars
Programmatically generate custom PDFs with reportlab styling

Casos de Uso

Batch processing legacy scanned documents into searchable text formats
Generating dynamic PDF invoices or reports from application data
Automated extraction of financial data from bank statements into spreadsheets

Acerca de

Características Principales

Secure document handling with password protection and decryption
Perform OCR on scanned PDFs using pytesseract and pdf2image
Advanced document manipulation including merging, splitting, and rotating
Extract text and structured table data from complex PDF layouts
37 GitHub stars
Programmatically generate custom PDFs with reportlab styling

Casos de Uso

Batch processing legacy scanned documents into searchable text formats
Generating dynamic PDF invoices or reports from application data
Automated extraction of financial data from bank statements into spreadsheets