Can this skill handle scanned PDF documents?

Yes, it includes guidance on using pytesseract and pdf2image to perform OCR (Optical Character Recognition) on scanned content within PDFs.

Which Python libraries are supported by this skill?

The skill provides implementation patterns for pypdf, pdfplumber, reportlab, and pypdfium2, covering everything from basic merging to complex layout extraction.

Does it support command-line PDF tools?

Yes, it includes ready-to-use examples for popular CLI utilities like qpdf, pdftotext, and pdftk for efficient document operations via the terminal.

Can I use this skill to fill out interactive PDF forms?

Absolutely. The skill includes specific instructions for programmatic form filling and handling PDF forms at scale using tools like pdf-lib.

PDF Processing Suite

Name: PDF Processing Suite
Author: MonIKaMR25

byMonIKaMR25

Productivity & Workflow

Manipulate PDF documents by extracting text and tables, merging files, generating new reports, and performing OCR.

About

The PDF Processing Suite is a comprehensive toolkit designed to streamline document workflows within Claude. It provides standardized patterns for extracting structured data from tables, programmatically merging or splitting files, and generating custom PDFs using industry-standard libraries like pypdf and reportlab. Whether you need to automate invoice processing through OCR, protect documents with passwords, or handle complex form-filling tasks, this skill equips Claude with the specific code snippets and CLI commands required for high-scale document management.

Key Features

0 GitHub stars
Extract structured text and complex tables with layout preservation
Secure document handling with password encryption and metadata editing
Dynamic PDF generation and report creation from scratch
Programmatic document manipulation including merging, splitting, and rotating
OCR capabilities for processing scanned documents and images

Use Cases

Generating batch reports or certificates from dynamic data sources
Automating the extraction of financial data from PDF invoices into databases
Consolidating large volumes of individual documents into organized, searchable archives

About

Key Features

0 GitHub stars
Extract structured text and complex tables with layout preservation
Secure document handling with password encryption and metadata editing
Dynamic PDF generation and report creation from scratch
Programmatic document manipulation including merging, splitting, and rotating
OCR capabilities for processing scanned documents and images

Use Cases

Generating batch reports or certificates from dynamic data sources
Automating the extraction of financial data from PDF invoices into databases
Consolidating large volumes of individual documents into organized, searchable archives