Can I create new PDFs from scratch?

Absolutely. The skill includes ReportLab support for generating everything from simple single-page PDFs to complex multi-page reports with custom styling.

Can this skill handle scanned PDFs?

Yes, it includes OCR capabilities using pytesseract to extract text from images and scanned PDF documents.

Does it support PDF security and encryption?

Yes, you can use the toolkit to encrypt documents with passwords, remove existing passwords, and manage document metadata such as author and title.

How does it handle table extraction?

It utilizes pdfplumber, which provides advanced layout analysis to accurately convert PDF tables into structured data like Pandas DataFrames.

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: aiskillstore

byaiskillstore

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114

콘텐츠 관리

Manipulates, extracts, and generates PDF documents programmatically using industry-standard Python libraries and command-line tools.

소개

The PDF Processing Toolkit provides a comprehensive environment for handling document manipulation within Claude Code. It enables users to extract text and complex tables with high layout fidelity, merge or split documents, create new PDFs from scratch using reportlab, and perform OCR on scanned files. The skill uniquely integrates with scientific schematic tools to enhance documents with publication-quality diagrams and offers advanced capabilities for form filling, metadata management, and password protection, making it essential for automated document processing and data extraction workflows.

주요 기능

Perform OCR on scanned documents using pytesseract integration
Extract text and complex tabular data with layout preservation
Programmatic PDF creation using ReportLab canvases and templates
Merge, split, rotate, and encrypt PDF files via pypdf and qpdf
Automated generation of scientific schematics for document enhancement
114 GitHub stars

사용 사례

Automating data extraction from financial reports and invoices
Generating customized PDF reports with dynamic text and diagrams
Batch processing document archives for text searchability and organization

소개

주요 기능

Perform OCR on scanned documents using pytesseract integration
Extract text and complex tabular data with layout preservation
Programmatic PDF creation using ReportLab canvases and templates
Merge, split, rotate, and encrypt PDF files via pypdf and qpdf
Automated generation of scientific schematics for document enhancement
114 GitHub stars

사용 사례

Automating data extraction from financial reports and invoices
Generating customized PDF reports with dynamic text and diagrams
Batch processing document archives for text searchability and organization