Can I add passwords or encryption to PDFs?

Yes, the toolkit includes instructions for using pypdf to encrypt documents with user and owner passwords.

Can Claude extract tables from complex PDFs using this skill?

Yes, it includes specialized patterns for using pdfplumber and pandas to identify and extract tabular data into structured dataframes.

Which Python libraries does this skill support?

The toolkit provides implementation guides for pypdf (basic operations), pdfplumber (table/text extraction), reportlab (creation), and pytesseract (OCR).

Does this skill support OCR for scanned documents?

Yes, it provides code snippets for converting PDF pages to images and using pytesseract to extract text from scanned or non-selectable documents.

How can I merge multiple PDF files using this toolkit?

The skill offers both Python-based solutions using pypdf and command-line solutions using qpdf or pdftk for efficient document merging.

PDF Manipulation Toolkit

Name: PDF Manipulation Toolkit
Author: nordeim

bynordeim

콘텐츠 관리

Automates complex PDF workflows including high-fidelity text extraction, table parsing, document generation, and form handling.

소개

This skill equips Claude with a robust suite of tools and implementation patterns for programmatically managing PDF files. It leverages powerful Python libraries like pypdf and pdfplumber alongside command-line utilities like qpdf to perform precise text and table extraction, document merging, and page rotation. Beyond simple manipulation, it provides frameworks for generating professional-grade reports from scratch and performing OCR on scanned documents, making it an essential toolkit for developers building document processing pipelines or data extraction workflows.

주요 기능

OCR capabilities for processing scanned PDFs into searchable text
High-fidelity text and layout extraction from complex documents
Automated table parsing and conversion to structured data formats
Dynamic PDF generation with custom layouts, watermarks, and encryption
Comprehensive document assembly (merge, split, and rotate pages)
0 GitHub stars

사용 사례

Generating automated business reports, certificates, or invoices using code templates
Building document archival systems that require merging, splitting, and metadata extraction
Extracting financial data from batches of PDF invoices into Excel or databases

소개

주요 기능

OCR capabilities for processing scanned PDFs into searchable text
High-fidelity text and layout extraction from complex documents
Automated table parsing and conversion to structured data formats
Dynamic PDF generation with custom layouts, watermarks, and encryption
Comprehensive document assembly (merge, split, and rotate pages)
0 GitHub stars

사용 사례

Generating automated business reports, certificates, or invoices using code templates
Building document archival systems that require merging, splitting, and metadata extraction
Extracting financial data from batches of PDF invoices into Excel or databases