How do I create a new PDF from scratch?

The skill provides comprehensive examples using the ReportLab library, allowing you to build PDFs with custom text, graphics, and multi-page layouts programmatically.

Can this skill extract tables from PDFs?

Yes, it utilizes libraries like pdfplumber and pandas to extract structured table data accurately from PDF pages and convert them into dataframes.

Does it support scanned documents?

Yes, it includes implementation patterns for OCR using pytesseract and pdf2image to handle scanned PDFs that do not contain native text layers.

Can I use this for command-line PDF tools?

Definitely. The skill includes guides for using industry-standard CLI tools like qpdf, pdftotext, and pdftk for fast, scriptable document operations.

PDF Processing Toolkit

Name: PDF Processing Toolkit
Author: bkootaz

bybkootaz

Productividad y Flujo de Trabajo

Manipulates PDF documents programmatically to extract data, merge files, generate reports, and handle complex form-filling tasks.

Acerca de

This skill empowers Claude to perform a wide range of PDF operations using popular libraries like pypdf, pdfplumber, and reportlab. It provides standardized patterns for extracting text and tables with high accuracy, merging or splitting documents, creating new PDFs from scratch, and even performing OCR on scanned documents. Whether you need to automate report generation or parse data from legacy PDF forms, this skill provides the implementation logic and best practices to handle document-heavy workflows efficiently within your development environment.

Características Principales

Automate PDF form filling and metadata extraction
Create custom PDFs with rich text and multiple pages using ReportLab
Convert scanned PDFs to searchable text using OCR integration
Extract text and structured tables from complex PDF layouts
Merge, split, and rotate PDF pages programmatically
0 GitHub stars

Casos de Uso

Batch processing financial statements to extract table data into Excel
Managing document libraries by merging files and adding watermarks
Automating the generation of personalized PDF reports or certificates

Acerca de

Características Principales

Automate PDF form filling and metadata extraction
Create custom PDFs with rich text and multiple pages using ReportLab
Convert scanned PDFs to searchable text using OCR integration
Extract text and structured tables from complex PDF layouts
Merge, split, and rotate PDF pages programmatically
0 GitHub stars

Casos de Uso

Batch processing financial statements to extract table data into Excel
Managing document libraries by merging files and adding watermarks
Automating the generation of personalized PDF reports or certificates