pdf

Extract text and form data from PDFs using Python libraries.

5|Updated Nov 16, 2025
One-click install
npx skills add https://github.com/QuestForTech-Investments/claude-code-skills --skill pdf-questfortech-investments
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/QuestForTech-Investments/claude-code-skills/tree/main/document-skills/pdf
Command: npx skills add https://github.com/QuestForTech-Investments/claude-code-skills --skill pdf-questfortech-investments

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the manipulation and extraction of data from PDF documents, reducing manual, repetitive work.

Core Features & Use Cases

  • Automated PDF text extraction and form data handling
  • Programmatic merging, splitting, and annotation of PDFs for batch workflows
  • Use Case: Process a batch of invoices to extract invoice numbers, dates, and totals and consolidate into a CSV.

Quick Start

Use the pdf skill to extract text from a sample.pdf and dump results to results.json.

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 form data from PDF files using Python?

To extract text and form data from PDFs using Python, this Skill applies pypdf and pdfplumber to parse document streams programmatically. It automates batch workflows, pulling invoice numbers, dates, and totals directly into structured formats like JSON or CSV without manual intervention.

What is the best way to automate batch processing of PDF invoices for data extraction?

The best way to automate PDF invoice batch processing is using scripts that apply pypdf and pdfplumber to parse streams. This approach extracts invoice numbers, dates, and totals from multiple documents, consolidating the parsed data into a CSV file to streamline document workflows.

Can I use Python to programmatically merge, split, and annotate PDF documents for archival digitization?

Yes, you can use Python to merge, split, and annotate PDF documents for archival digitization. This Skill manipulates PDF streams programmatically using pypdf and pdfplumber, automating batch workflows without manual intervention to digitize and process document archives efficiently.

Does Python PDF form filling and text extraction work with scanned documents?

Python PDF text extraction can process scanned documents by applying pdf2image and Pillow alongside pdfplumber. This combination parses and manipulates PDF streams, converting visual document content for archival digitization and batch processing workflows without manual intervention.

Do I need pypdf and pdfplumber to automate PDF data extraction in Python?

Yes, you need pypdf and pdfplumber to automate PDF data extraction in Python. These dependencies parse and manipulate PDF streams, enabling programmatic text extraction, form data handling, and batch processing of invoices without manual intervention.

What are the limitations of using Python for automated PDF text extraction?

Limitations of automated PDF text extraction arise from complex document layouts and scanned images. While pypdf and pdfplumber handle standard text and form data, processing visual elements requires pdf2image and Pillow, potentially complicating batch workflows for archival digitization.