What command-line tools are supported for batch processing?

The toolkit includes patterns for qpdf, poppler-utils (pdftotext), and pdftk for efficient, high-performance CLI-based document manipulation.

Is it possible to fill out PDF forms programmatically?

Yes, the skill provides specific guidance and scripts for handling PDF forms using libraries like pdf-lib and pypdf.

How do I create a PDF from scratch using this skill?

The skill provides detailed patterns for reportlab, allowing you to build complex multi-page documents with custom styles, images, and layouts.

Can this skill handle scanned PDFs that aren't searchable?

Yes, it includes implementation guides for OCR (Optical Character Recognition) using pytesseract and pdf2image to convert images into machine-readable text.

Which libraries are recommended for PDF table extraction?

This skill prioritizes pdfplumber for table extraction as it offers superior layout analysis and integrates seamlessly with Pandas for data processing.

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: pur3v4d3r

bypur3v4d3r

•

Gestión de Contenido

Automates complex PDF manipulation tasks including text extraction, table parsing, document merging, and programmatic report generation.

Acerca de

The PDF Processing Toolkit is a specialized skill designed to empower Claude with high-level document automation capabilities. It provides standardized implementation patterns for extracting structured data from PDFs, handling scanned documents via OCR, and creating professional reports from scratch. By leveraging a curated set of Python libraries and command-line utilities like pypdf, pdfplumber, and qpdf, this skill enables developers to build robust document processing pipelines, manage metadata, and automate form-filling workflows with precision and scale.

Características Principales

1 GitHub stars
Merge, split, and rotate PDF pages using Python and CLI tools
OCR capabilities for processing scanned documents and images
Extract text and complex tabular data with layout preservation
Programmatic PDF generation and report creation using ReportLab
Document security management including password protection and watermarking

Casos de Uso

Building dynamic reporting systems that generate branded PDFs from application data
Automating the extraction of invoice data into structured Excel or CSV formats
Batch processing and merging multi-source documents for legal or archival compliance

Acerca de

Características Principales

1 GitHub stars
Merge, split, and rotate PDF pages using Python and CLI tools
OCR capabilities for processing scanned documents and images
Extract text and complex tabular data with layout preservation
Programmatic PDF generation and report creation using ReportLab
Document security management including password protection and watermarking

Casos de Uso

Building dynamic reporting systems that generate branded PDFs from application data
Automating the extraction of invoice data into structured Excel or CSV formats
Batch processing and merging multi-source documents for legal or archival compliance