Is it possible to protect PDFs with passwords?

Yes, the skill includes code snippets for encrypting PDF files with user and owner passwords to ensure document security.

What libraries does this skill support?

It primarily supports popular Python libraries like pypdf, pdfplumber, and reportlab, along with powerful CLI tools like qpdf and poppler-utils.

Can it handle scanned PDFs?

Yes, it includes specialized guidance for using OCR tools like pytesseract and pdf2image to extract text from non-searchable, scanned documents.

Can I extract tables directly to Excel?

Absolutely, it demonstrates how to use pdfplumber in combination with pandas to convert PDF tables into structured data formats like XLSX or CSV.

Does it support PDF form filling?

Yes, the skill provides specific instructions and patterns for filling out interactive PDF forms programmatically.

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: dev-jelly

bydev-jelly

0•

Productivity & Workflow

Automates complex PDF tasks including text extraction, table parsing, merging, splitting, and form filling using Python and CLI tools.

The Jelly PDF Toolkit equips Claude with a comprehensive set of patterns and best practices for programmatic PDF manipulation. It provides pre-configured workflows for extracting high-fidelity text and structured tables, merging or splitting documents, creating professional reports from scratch, and handling security features like encryption or watermarking. Whether you are building automated document pipelines or performing one-off data extraction from scanned PDFs via OCR, this skill streamlines the integration of industry-standard libraries like pypdf, pdfplumber, and reportlab into your development environment.

Key Features

010 GitHub stars

02Automated PDF form filling and metadata management

03Dynamic PDF generation and report creation using ReportLab

04Advanced text and table extraction with layout preservation

05Comprehensive document manipulation including merging, splitting, and page rotation

06OCR support for extracting data from scanned documents

Use Cases

01Extracting structured financial data from tabular PDF reports into Excel or CSV

02Batch processing and merging multiple documents for archival or distribution

03Automating the generation of branded invoices and certificates via Python scripts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dev-jelly/jelly-dotclaude jelly-pdf

For use in Claude.ai and ChatGPT

Download Skill