pdf

Extract text and tables from PDFs using Python libraries.

17|8|Updated Oct 21, 2025
One-click install
npx skills add https://github.com/Interstellar-code/claud-skills --skill pdf-interstellar-code
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/Interstellar-code/claud-skills/tree/main/generic-claude-framework/skills/document-skills/pdf
Command: npx skills add https://github.com/Interstellar-code/claud-skills --skill pdf-interstellar-code

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, reportlab, pdf2image, Pillow, and includes scripts (resource) components.

What problem does it solve?

This skill automates the extraction and processing of data from PDF documents.

Core Features & Use Cases

  • Text extraction from PDFs using pypdf and pdfplumber to retrieve raw content.
  • Table extraction from pages and exporting results to CSV or Excel formats.
  • Form handling, including filling fillable fields, annotating non-fillable forms, and creating annotated outputs.
  • Use Case: Handle hundreds of invoices by extracting dates, totals, and line items into structured datasets.

Quick Start

Use the pdf skill to extract all text from the attached file 'invoice-q3.pdf'.

Frequently Asked Questions about pdf

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract text and tables from PDF documents using Python?

PDF text and table extraction in Python can be automated using pypdf and pdfplumber to retrieve raw content and export structured table data to CSV or Excel formats for further processing.

Does Python support filling fillable PDF forms and annotating non-fillable documents?

Python supports PDF form handling by filling fillable fields and annotating non-fillable forms, creating annotated outputs using libraries like pypdf and reportlab for end-to-end document workflows.

What's the best way to automate processing hundreds of PDF invoices in Python?

Automating PDF invoice processing involves extracting dates, totals, and line items into structured datasets using Python libraries like pdfplumber to handle high-volume document workflows and export results.

Do I need Python and specific libraries to extract data from PDFs?

PDF data extraction requires Python and specific libraries including pypdf, pdfplumber, pdf2image, reportlab, and Pillow to perform end-to-end text extraction, table extraction, and form handling workflows.

Can I create new PDF documents and export extracted tables to CSV or Excel?

PDF creation and table export are supported through reportlab for generating new documents and pdfplumber for extracting table data from pages, exporting results directly to CSV or Excel formats.