Does it support scanned documents?

Yes, it provides implementation guides for using pytesseract and pdf2image to perform OCR on scanned PDF files.

Can I create PDFs from scratch?

Absolutely. The skill includes documentation for using ReportLab to generate complex PDFs with custom layouts, text, lines, and multiple pages.

Is password protection supported?

Yes, the skill includes code for encrypting PDFs with user and owner passwords, as well as decrypting files using qpdf.

Can I extract tables from PDFs with this skill?

Yes, the skill includes patterns for using pdfplumber to extract structured tables and convert them into Pandas DataFrames for analysis.

How do I merge multiple PDF files?

You can use the provided pypdf or qpdf code snippets to merge multiple documents into a single file programmatically or via the command line.

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: partme-ai

bypartme-ai

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内容管理

Manipulates, extracts, and generates PDF documents using a suite of Python libraries and command-line tools.

关于

The PDF Processing Toolkit provides a comprehensive set of patterns and best practices for programmatic document handling. It enables Claude to perform complex operations including layout-aware text extraction, table parsing with pdfplumber, and professional PDF generation using ReportLab. The skill also covers essential document management tasks like merging, splitting, rotating, and encrypting files, as well as advanced workflows like OCR for scanned documents and command-line processing with tools like qpdf and poppler.

主要功能

Programmatic PDF generation and report creation with ReportLab
High-fidelity text and table extraction with layout preservation
OCR capabilities for processing scanned PDFs via Tesseract
Document manipulation including merging, splitting, and rotating
Security features including password protection and decryption
37 GitHub stars

使用场景

Batch processing document archives for watermarking and security compliance
Automating data extraction from financial statements and invoices into structured formats
Generating dynamic reports, certificates, or invoices from application data

关于

主要功能

Programmatic PDF generation and report creation with ReportLab
High-fidelity text and table extraction with layout preservation
OCR capabilities for processing scanned PDFs via Tesseract
Document manipulation including merging, splitting, and rotating
Security features including password protection and decryption
37 GitHub stars

使用场景

Batch processing document archives for watermarking and security compliance
Automating data extraction from financial statements and invoices into structured formats
Generating dynamic reports, certificates, or invoices from application data