pdf-processing

Extract text, structure, and tables from PDF documents using PyPDF2 and pdfplumber.

30|7|Updated Nov 10, 2025
One-click install
npx skills add https://github.com/taishan1994/Agent-Handbook --skill pdf-processing-taishan1994
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf-processing
Source: https://github.com/taishan1994/Agent-Handbook/tree/main/mini-agents/Mini_Agents/skills/document-skills/pdf
Command: npx skills add https://github.com/taishan1994/Agent-Handbook --skill pdf-processing-taishan1994

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyPDF2, pdfplumber, and includes scripts (resource) components.

What problem does it solve?

This Skill provides methods to process PDF documents by extracting text, analyzing structure, and pulling tables to support data capture workflows.

Core Features & Use Cases

  • Text extraction from PDFs for full-text search and digitization.
  • Table extraction to turn tabular data into structured formats.
  • Structure analysis for quick assessments of page layout and metadata.

Quick Start

Provide a path to a PDF file and run the appropriate script to extract text, analyze structure, or extract tables.

Frequently Asked Questions about pdf-processing

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

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

To extract text and tables from PDF files using Python, this Skill applies PyPDF2 and pdfplumber scripts to parse documents, pulling full text and converting tabular data into structured formats.

What is the best way to digitize research notes and invoices from PDF documents?

Digitizing research notes and invoices from PDF documents involves applying structure analysis and table extraction to capture metadata and tabular data, turning archived PDFs into usable digital records.

Can I analyze PDF page layout and metadata before extracting data?

Yes, you can analyze PDF page layout and metadata before data extraction. This Skill uses pdfplumber to assess document structure, enabling targeted text and table capture workflows.

Does pdfplumber work better than PyPDF2 for extracting structured tables from PDFs?

Both pdfplumber and PyPDF2 are used in this Skill to process PDFs. While PyPDF2 handles general text extraction, pdfplumber provides specialized capabilities for pulling structured tables and analyzing page layout.

How do I process PDFs for full-text search and archiving workflows?

Processing PDFs for full-text search and archiving involves running dedicated scripts to extract text and analyze structure, enabling rapid digitization and data capture from document-heavy workflows.

What are the limitations of using PyPDF2 and pdfplumber for PDF data processing?

Limitations of using PyPDF2 and pdfplumber for PDF data processing include challenges with scanned image-only documents, as these libraries parse embedded text and tables rather than performing optical character recognition.