Does it support filling out PDF forms?

Yes, the skill provides specific instructions and best practices for programmatically filling out PDF forms and handling interactive fields.

Can this skill handle scanned PDF documents?

Yes, it includes guidance on using OCR tools like pytesseract and pdf2image to extract text from scanned images and PDFs.

Can I extract tables into Excel format?

Yes, the skill demonstrates how to use pdfplumber in combination with pandas to export extracted table data directly to Excel or CSV formats.

Which Python libraries does this skill support?

It primarily leverages pypdf for basic operations, pdfplumber for layout-aware text and table extraction, and ReportLab for programmatic PDF creation.

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: adaptiveX-gh

byadaptiveX-gh

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Content Management

Provides a comprehensive suite of tools for programmatically creating, editing, and extracting data from PDF documents using Python and CLI utilities.

About

This Claude Code Skill equips Claude with the expertise to handle complex PDF workflows, ranging from basic operations like merging and splitting to advanced tasks like table extraction, OCR for scanned documents, and automated form filling. By integrating industry-standard libraries like pypdf, pdfplumber, and reportlab, it enables Claude to programmatically generate reports, analyze document metadata, and transform unstructured PDF data into structured formats like Excel or text, making it an essential tool for document automation and large-scale data processing tasks.

Key Features

Generate professional PDFs from scratch with custom layouts using ReportLab.
Extract text and complex tabular data with high precision using pdfplumber.
Automate PDF form filling and metadata management for document processing.
1 GitHub stars
Perform core document operations including merging, splitting, and page rotation.
Enable OCR capabilities to extract text from scanned documents and images.

Use Cases

Digitizing scanned paper records using OCR to make them searchable and editable.
Extracting financial data from tables within hundreds of PDF invoices into structured spreadsheets.
Creating an automated pipeline to merge multiple report fragments into a single, watermarked PDF.

About

Key Features

Generate professional PDFs from scratch with custom layouts using ReportLab.
Extract text and complex tabular data with high precision using pdfplumber.
Automate PDF form filling and metadata management for document processing.
1 GitHub stars
Perform core document operations including merging, splitting, and page rotation.
Enable OCR capabilities to extract text from scanned documents and images.

Use Cases

Digitizing scanned paper records using OCR to make them searchable and editable.
Extracting financial data from tables within hundreds of PDF invoices into structured spreadsheets.
Creating an automated pipeline to merge multiple report fragments into a single, watermarked PDF.