Can this skill handle scanned PDF documents?

Yes, it includes patterns for using pytesseract and pdf2image to perform Optical Character Recognition (OCR) on scanned PDF files.

Does it support command-line PDF tools?

Yes, it includes quick-reference guides for powerful CLI utilities like qpdf, pdftotext, and pdftk for fast, scriptable document operations.

Can I use this skill to password-protect my documents?

Absolutely. The skill includes specific Python snippets for encrypting PDFs with user and owner passwords using the pypdf library.

Which Python libraries are featured in this skill?

The skill provides guidance for pypdf (manipulation), pdfplumber (extraction), and ReportLab (generation), covering the most common PDF use cases.

PDF Processing & Data Extraction Toolkit

Name: PDF Processing & Data Extraction Toolkit
Author: thanhtoan105

bythanhtoan105

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Productividad y Flujo de Trabajo

Automates complex PDF manipulation tasks including structured data extraction, document generation, and programmatic form handling.

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The PDF Processing & Data Extraction toolkit provides Claude with a comprehensive set of patterns and tools for handling PDF documents at scale. It enables sophisticated text and table extraction using pdfplumber, programmatic document creation with ReportLab, and low-level file manipulation like merging and splitting via pypdf and qpdf. This skill is particularly useful for developers building accounting systems, automated reporting workflows, or data pipelines that need to bridge the gap between static PDF files and structured data environments.

Características Principales

High-fidelity table extraction and conversion to pandas DataFrames
Programmatic PDF generation with custom layouts and multi-page support
Comprehensive document manipulation including merging, splitting, and rotation
OCR capabilities for extracting text from scanned documents and images
Security features for handling password protection and document encryption
1 GitHub stars

Casos de Uso

Extracting financial line items from invoices and bank statements for ERP systems
Generating automated business reports and certificates from application data
Batch processing legacy document archives into searchable text and structured formats

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Características Principales

High-fidelity table extraction and conversion to pandas DataFrames
Programmatic PDF generation with custom layouts and multi-page support
Comprehensive document manipulation including merging, splitting, and rotation
OCR capabilities for extracting text from scanned documents and images
Security features for handling password protection and document encryption
1 GitHub stars

Casos de Uso

Extracting financial line items from invoices and bank statements for ERP systems
Generating automated business reports and certificates from application data
Batch processing legacy document archives into searchable text and structured formats