pdf

Extract text, tables, and images from PDF documents using Python libraries.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/liubryant/agentclaw --skill pdf-liubryant
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/liubryant/agentclaw/tree/main/app/src/main/assets/skills/pdf
Command: npx skills add https://github.com/liubryant/agentclaw --skill pdf-liubryant

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines extracting text, tables, and images from PDFs, reducing manual effort in document analysis.

Core Features & Use Cases

  • Text and Table Extraction: Programmatically extract textual content and tables for reporting and data analysis.
  • PDF Manipulation: Merge, split, rotate, and watermark PDFs for document management.
  • Use Case: Quickly convert scanned insurance claim PDFs into searchable text or structured Excel sheets for review.

Quick Start

Use the pdf skill to extract all text from the attached file 'report2024.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 a PDF for data analysis?

To extract text and tables from a PDF, this Skill uses pdfplumber and pypdf to programmatically pull textual content and table structures, reducing manual effort by converting document data into structured formats for reporting and analysis.

Can I convert scanned PDF documents into searchable text?

Yes, you can convert scanned PDF documents into searchable text. The Skill uses pdf2image and pytesseract for image retrieval and OCR processing, turning scanned files like insurance claims into searchable and reviewable text data.

What is the best way to merge, split, or watermark PDF files?

The best way to merge, split, or watermark PDF files is through automated PDF manipulation. This Skill handles document management workflows by programmatically editing PDFs to reorganize pages and apply watermarks without manual intervention.

Does this PDF extraction approach work for legal and administrative workflows?

Yes, this PDF extraction approach works for legal and administrative workflows. It facilitates automated extraction, manipulation, and analysis of PDF documents, ensuring high accuracy and efficiency for document-heavy review processes.

Do I need Python libraries to automate PDF form filling and processing?

Yes, you need Python libraries to automate PDF form filling and processing. This Skill relies on dependencies like pypdf, pdfplumber, pdf2image, and pytesseract to execute document automation and data extraction tasks.