Can I use this skill to extract data from scanned PDFs?

Yes, the skill includes patterns for using OCR tools like pytesseract and pdf2image to process non-selectable text in scanned documents.

Is there support for filling out PDF forms?

Yes, it includes comprehensive guides for field analysis, validation, and programmatic form filling for interactive PDF documents.

How does the skill handle tables inside PDFs?

It utilizes pdfplumber's advanced table detection to extract structured data into list or CSV formats with minimal manual configuration.

Does this skill support merging multiple PDF files?

Absolutely. It provides ready-to-use Python snippets for merging multiple PDFs into a single document using the pypdf library.

Which libraries does this skill recommend for PDF extraction?

This skill primarily recommends pdfplumber for high-quality text and table extraction and pypdf for document manipulation like merging and splitting.

PDF Processing & Automation

Name: PDF Processing & Automation
Author: Microck

byMicrock

•

Gestión de Contenido

Extracts text, tables, and metadata from PDF documents while providing advanced manipulation capabilities like merging, splitting, and form filling.

Acerca de

This skill empowers Claude to efficiently handle complex PDF tasks by leveraging powerful Python libraries like pdfplumber and pypdf. It provides standardized implementation patterns for precise text and table extraction, multi-page document processing, and programmatic document manipulation. Whether you are building data pipelines from financial reports or automating administrative document workflows, this skill ensures robust error handling and performance-optimized code for diverse PDF-related operations.

Características Principales

Seamless document manipulation including merging and splitting
Automated PDF form filling and field validation logic
81 GitHub stars
OCR support for processing scanned or image-based PDFs
High-fidelity text and table extraction with pdfplumber
Optimized batch processing patterns for multi-page documents

Casos de Uso

Converting complex PDF report tables into structured CSV or JSON data
Programmatically filling out government or corporate PDF forms
Automating the generation and assembly of multi-document PDF reports

Acerca de

Características Principales

Seamless document manipulation including merging and splitting
Automated PDF form filling and field validation logic
81 GitHub stars
OCR support for processing scanned or image-based PDFs
High-fidelity text and table extraction with pdfplumber
Optimized batch processing patterns for multi-page documents

Casos de Uso

Converting complex PDF report tables into structured CSV or JSON data
Programmatically filling out government or corporate PDF forms
Automating the generation and assembly of multi-document PDF reports