Can I extract tables into a structured format like Excel?

Absolutely. The skill provides methods using pdfplumber and pandas to extract PDF tables directly into DataFrames and export them to Excel or CSV.

Does this skill support OCR for scanned documents?

Yes, it includes specialized workflows using pytesseract and pdf2image to convert scanned PDF pages into editable and searchable text.

How does this skill handle subscripts and superscripts in generated PDFs?

It provides specific guidance on using ReportLab XML markup tags ( and ) to ensure mathematical and chemical formulas render correctly without font errors.

Can it handle password-protected or encrypted PDFs?

Yes, the skill includes documentation for encrypting and decrypting PDFs using both Python's pypdf library and the qpdf command-line tool.

Advanced PDF Processing

Name: Advanced PDF Processing
Author: K-Dense-AI

byK-Dense-AI

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17,327

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Ciencia de Datos y ML

Processes, extracts, and creates PDF documents using powerful Python libraries and command-line utilities for research and analysis.

This skill empowers Claude with a comprehensive suite of PDF manipulation capabilities, ranging from simple page rotation to complex data extraction and document generation. It provides optimized patterns for using industry-standard tools like pypdf, pdfplumber, and ReportLab to handle text, tables, and images. Whether you need to automate the extraction of structured data from research papers, merge disparate documents, or generate professional reports from scratch with proper chemical notation and layout, this skill provides the necessary programmatic logic and command-line workflows to get the job done efficiently.

Características Principales

0117,327 GitHub stars

02Manage PDF security including encryption, decryption, and watermarking

03Create dynamic PDF documents with ReportLab including XML markup support

04Extract structured text and complex tables with layout preservation

05Merge, split, rotate, and reorder PDF pages programmatically

06Perform OCR on scanned PDFs using pytesseract to make them searchable

Casos de Uso

01Automating the extraction of financial data from PDF statements into structured Excel files

02Processing large archives of scanned research documents for text analysis and archival

03Generating batch reports or invoices with custom layouts and programmatic content

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add k-dense-ai/claude-scientific-skills pdf

For use in Claude.ai and ChatGPT

Características Principales

0117,327 GitHub stars

02Manage PDF security including encryption, decryption, and watermarking

03Create dynamic PDF documents with ReportLab including XML markup support

04Extract structured text and complex tables with layout preservation

05Merge, split, rotate, and reorder PDF pages programmatically

06Perform OCR on scanned PDFs using pytesseract to make them searchable

Casos de Uso

01Automating the extraction of financial data from PDF statements into structured Excel files

02Processing large archives of scanned research documents for text analysis and archival

03Generating batch reports or invoices with custom layouts and programmatic content