Can I extract tables into a structured format like Excel?

Yes, it uses pdfplumber to extract tables and provides code patterns to convert that data into Pandas DataFrames for export to Excel or CSV.

How does it help with scientific visualization?

It integrates with scientific-schematic tools to generate publication-quality diagrams and flowcharts directly from natural language descriptions.

Can this skill handle scanned PDF files?

Yes, it includes workflows for OCR using pytesseract and pdf2image to convert scanned images into searchable and extractable text.

Which Python libraries are supported for document creation?

The skill primarily utilizes ReportLab for PDF creation and pypdf or qpdf for modifying existing documents.

Does it support command-line tools?

Yes, it provides quick access to powerful CLI tools like qpdf, pdftotext, and pdftk for fast, headless document operations.

Scientific PDF & Document Toolkit

Name: Scientific PDF & Document Toolkit
Author: pathvanasoftware

bypathvanasoftware

Productivity & Workflow

Automates professional PDF manipulation, text/table extraction, and scientific schematic generation for document processing workflows.

About

This skill provides a comprehensive toolkit for programmatic PDF management and scientific document enhancement. It enables developers and researchers to extract structured data from complex tables, perform OCR on scanned documents, and automate file operations like merging, splitting, and watermarking. Beyond basic manipulation, it uniquely integrates with scientific-schematic tools to automatically generate publication-quality diagrams, ensuring that processed documents are not only technically sound but also visually communicative for professional and academic standards.

Key Features

Automate PDF merging, splitting, rotation, and password protection.
Extract text and structured tables using pdfplumber and pypdf.
0 GitHub stars
Perform OCR on scanned documents via pytesseract and pdf2image.
Generate AI-powered scientific schematics and publication-quality diagrams.
Create and modify PDFs programmatically with ReportLab and Platypus.

Use Cases

Standardizing document archives through OCR and metadata cleaning.
Automating data extraction from scientific papers and technical reports.
Building automated document generation pipelines for certificates or invoices.

About

Key Features

Automate PDF merging, splitting, rotation, and password protection.
Extract text and structured tables using pdfplumber and pypdf.
0 GitHub stars
Perform OCR on scanned documents via pytesseract and pdf2image.
Generate AI-powered scientific schematics and publication-quality diagrams.
Create and modify PDFs programmatically with ReportLab and Platypus.

Use Cases

Standardizing document archives through OCR and metadata cleaning.
Automating data extraction from scientific papers and technical reports.
Building automated document generation pipelines for certificates or invoices.