pdf

Extract text and tables from PDF documents using Python libraries.

1|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/coolsocket/skills-for-GCP --skill pdf-coolsocket
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/coolsocket/skills-for-GCP/tree/main/pdf
Command: npx skills add https://github.com/coolsocket/skills-for-GCP --skill pdf-coolsocket

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

PDF workflows are often manual and error-prone, requiring separate tools to extract text, pull tables, merge or split files, and fill forms.

Core Features & Use Cases

  • Extract text and tables from PDFs using pypdf and pdfplumber.
  • Create and manipulate PDFs (merge, split, rotate) and automate form filling.
  • Real-world use case: process hundreds of invoices, extract line items, and populate an ERP-ready spreadsheet.

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 invoices using Python?

You can extract text and tables from PDFs using Python libraries like pypdf and pdfplumber to automate data capture from documents such as invoices and contracts. This enables automated processing of line items and content directly from PDF files.

Can I automate PDF form filling and merge multiple files in Python?

Yes, you can automate PDF form filling, merging, splitting, and rotating files using Python libraries. The skill manipulates PDF documents programmatically, allowing you to batch process hundreds of files and populate forms without manual data entry.

Do I need Python 3 and specific libraries to process PDF documents?

Yes, processing PDF documents requires Python 3 and common PDF libraries including pypdf, pdfplumber, Pillow, and pdf2image. These dependencies are necessary to perform text extraction, table extraction, form filling, and image rendering tasks.

What is the best way to render PDF pages as images for visual processing?

Rendering PDF pages as images is best achieved using the Pillow and pdf2image Python libraries. This approach converts PDF documents into image formats, enabling visual processing and automated document workflows.

How do I process hundreds of invoices and populate an ERP-ready spreadsheet?

To process hundreds of invoices and populate an ERP-ready spreadsheet, use Python to extract line items and text from PDF files using pypdf and pdfplumber. This automates data capture, extracting structured content from invoices for ERP integration.