Can this skill help extract tables from PDFs into Excel?

Yes, it provides specific implementations using pdfplumber and pandas to identify, extract, and convert PDF tables into structured data formats like Excel or CSV.

Does it support processing scanned documents?

Yes, the toolkit includes guidance on using OCR (Optical Character Recognition) via pytesseract to extract text from non-searchable or scanned PDF files.

Can I use this to password-protect my documents?

Absolutely. It includes patterns for both encrypting documents with user/owner passwords and decrypting files using tools like qpdf.

What libraries are used for PDF generation?

The skill primarily utilizes ReportLab for professional-grade PDF generation, supporting complex layouts, headers, footers, and page breaks.

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: Daisuke134

byDaisuke134

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内容管理

Manipulates, generates, and extracts data from PDF documents using Python libraries and command-line utilities.

关于

The PDF Processing Toolkit skill provides Claude with comprehensive patterns and best practices for programmatic document handling. It enables high-fidelity text and table extraction, document generation via ReportLab, and advanced manipulation tasks like merging, splitting, and watermarking. Whether you are building automated invoice processing pipelines, generating dynamic reports, or performing OCR on scanned documents, this skill provides the necessary implementation patterns for tools like pypdf, pdfplumber, and qpdf to handle PDF workflows at scale.

主要功能

Security features for password protection and document decryption
3 GitHub stars
Document manipulation including merging, splitting, rotating, and watermarking
Dynamic PDF generation using ReportLab and canvas templates
OCR capabilities for extracting content from scanned PDF documents
High-fidelity text and tabular data extraction with layout preservation

使用场景

Bulk processing of legal documents for archival, merging, or redaction
Generating professional multi-page reports and certificates from application data
Automating the extraction of financial data from PDF invoices into structured databases

关于

主要功能

Security features for password protection and document decryption
3 GitHub stars
Document manipulation including merging, splitting, rotating, and watermarking
Dynamic PDF generation using ReportLab and canvas templates
OCR capabilities for extracting content from scanned PDF documents
High-fidelity text and tabular data extraction with layout preservation

使用场景

Bulk processing of legal documents for archival, merging, or redaction
Generating professional multi-page reports and certificates from application data
Automating the extraction of financial data from PDF invoices into structured databases