Can this skill handle scanned PDFs?

Yes, the skill includes implementation patterns using pytesseract and pdf2image to perform OCR (Optical Character Recognition) on scanned documents.

Which Python libraries are featured in this skill?

It provides comprehensive examples for pypdf (basic operations), pdfplumber (extraction), and reportlab (generation), along with CLI tool support for qpdf and poppler.

Is it possible to extract tables while maintaining their structure?

Yes, the skill utilizes pdfplumber specifically for high-fidelity table extraction, allowing you to convert PDF tables directly into Pandas DataFrames.

Does this skill support PDF form filling?

Yes, it includes guidance for programmatically filling out PDF forms using both Python and JavaScript libraries like pdf-lib.

PDF Processing & Manipulation

Name: PDF Processing & Manipulation
Author: nimeshgurung

bynimeshgurung

Content Management

Automates complex PDF tasks including text extraction, document merging, and programmatic PDF generation using Python and CLI tools.

About

This skill provides Claude with a comprehensive toolkit for handling PDF documents programmatically, bridging the gap between raw documents and structured data. It offers standardized patterns for extracting text and tables with layout preservation, merging or splitting files, and creating professional reports from scratch using libraries like ReportLab. Whether you need to perform OCR on scanned documents, manage password protection, or automate high-volume document workflows, this skill provides the necessary code patterns and tool recommendations to execute these tasks efficiently within a development environment.

Key Features

Comprehensive document assembly including merging, splitting, and rotation
0 GitHub stars
OCR capabilities for converting scanned documents into searchable text
Document security management including encryption and password removal
Programmatic PDF generation with custom styles and multi-page support
Advanced text and table extraction with layout preservation

Use Cases

Automating the extraction of financial data from PDF invoices into structured formats like Excel or CSV
Batch processing document archives to apply watermarks and standardized encryption
Generating dynamic, multi-page business reports and certificates from application data

About

Key Features

Comprehensive document assembly including merging, splitting, and rotation
0 GitHub stars
OCR capabilities for converting scanned documents into searchable text
Document security management including encryption and password removal
Programmatic PDF generation with custom styles and multi-page support
Advanced text and table extraction with layout preservation

Use Cases

Automating the extraction of financial data from PDF invoices into structured formats like Excel or CSV
Batch processing document archives to apply watermarks and standardized encryption
Generating dynamic, multi-page business reports and certificates from application data