Does it support command-line tools?

Absolutely, it includes workflows for popular CLI utilities such as qpdf, pdftotext, and pdftk for fast document processing.

Which Python libraries does this skill use?

It primarily utilizes pypdf for basic operations, pdfplumber for table extraction, and reportlab for document generation.

Can it handle scanned PDFs?

Yes, it includes guidance on using pytesseract and pdf2image for Optical Character Recognition (OCR) on scanned documents.

Is it possible to fill out PDF forms?

Yes, the skill provides specific instructions and patterns for programmatic form filling.

PDF Processing & Manipulation

Name: PDF Processing & Manipulation
Author: nijjaraerp

bynijjaraerp

Herramientas para Desarrolladores

Simplifies complex PDF tasks including text extraction, table parsing, document generation, and form handling using Python and CLI tools.

Acerca de

This skill provides a comprehensive toolkit for programmatic PDF manipulation within the Claude environment. It equips developers with patterns and best practices for common tasks like merging and splitting documents, extracting structured data from tables, performing OCR on scanned files, and generating professional reports. Whether you need to automate form filling, secure documents with passwords, or extract layout-preserved text for analysis, this skill provides the necessary library integrations and command-line workflows to handle PDFs at scale.

Características Principales

0 GitHub stars
Document management including merging, splitting, and rotating pages
Programmatic PDF generation using reportlab and templates
Advanced processing like OCR for scanned documents and watermarking
Extract text and complex tables with layout preservation
Command-line integration with tools like qpdf and poppler-utils

Casos de Uso

Automating the extraction of financial data from PDF invoices into structured formats
Batch generating personalized PDF reports or certificates from a database
Securing sensitive documents with passwords or decrypting files for automated processing

Acerca de

Características Principales

0 GitHub stars
Document management including merging, splitting, and rotating pages
Programmatic PDF generation using reportlab and templates
Advanced processing like OCR for scanned documents and watermarking
Extract text and complex tables with layout preservation
Command-line integration with tools like qpdf and poppler-utils

Casos de Uso

Automating the extraction of financial data from PDF invoices into structured formats
Batch generating personalized PDF reports or certificates from a database
Securing sensitive documents with passwords or decrypting files for automated processing