Can this skill handle scanned PDF documents?

Yes, it includes patterns for using pytesseract and pdf2image to perform Optical Character Recognition (OCR) on scanned pages that do not have selectable text.

How do I extract a table from a PDF to a CSV file?

You can use pdfplumber's extract_tables() method to retrieve the data as a list of rows, then use the standard Python csv module to write those rows to a file.

Which Python libraries does this skill use for PDF handling?

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

How does the skill handle multi-page documents?

It provides efficient patterns for iterating through the pages object in pdfplumber, allowing for batch processing and memory-efficient text accumulation.

Is it possible to fill out PDF forms automatically?

Yes, the skill provides guidance on field analysis and validation to programmatically fill out interactive PDF forms.

PDF Processing & Extraction

Name: PDF Processing & Extraction
Author: Activer007

byActiver007

コンテンツ管理

Extracts text, tables, and metadata from PDF documents while providing tools for merging, splitting, and form automation.

概要

This skill equips Claude with specialized knowledge for programmatic PDF manipulation using industry-standard Python libraries. It enables efficient text and table extraction, document merging and splitting, and automated form filling. It is particularly useful for developers and data analysts who need to automate document processing workflows, handle scanned PDFs via OCR, or convert complex PDF reports into structured data formats like CSV or clean text. By providing optimized patterns for libraries like pdfplumber and pypdf, it ensures high-performance document handling and robust error management.

主な機能

Automated PDF form field analysis and programmatic filling
High-accuracy text and table extraction using pdfplumber
Robust error handling for empty pages and unextractable content
0 GitHub stars
Document manipulation tools for merging and splitting PDF files
Support for scanned documents via OCR with Tesseract integration

ユースケース

Automating data extraction from financial statements and invoices
Converting complex PDF tables into structured CSV or JSON data
Batch processing large document repositories for archival and merging

概要

主な機能

Automated PDF form field analysis and programmatic filling
High-accuracy text and table extraction using pdfplumber
Robust error handling for empty pages and unextractable content
0 GitHub stars
Document manipulation tools for merging and splitting PDF files
Support for scanned documents via OCR with Tesseract integration

ユースケース

Automating data extraction from financial statements and invoices
Converting complex PDF tables into structured CSV or JSON data
Batch processing large document repositories for archival and merging