How to Get Started with pdf-ocr-layout in Your AI Workflow

pdf-ocr-layout is a powerful AI agent skill that extends your assistant with new capabilities. Multi-modal document in-depth analysis tool based on GLM-OCR, GLM-4.7 and GLM-4.6V. Use when: - Need to extract tables in documents (PDF/pictures) with high accuracy and convert them to Markdown format - Need to automatically crop and extract illustrations and charts from document pages into independent files - Requires deep semantic understanding of extracted charts (based on GLM-4.6V visual analysis) - Requires logical analysis of extracted tabular data (based on GLM-4.7 text analysis) Core architecture: 1. Visual extraction: GLM-OCR 2. Semantic understanding: GLM-4.7 (plain text/table) + GLM-4.6V (multi-modal/image) This guide walks you through installing pdf-ocr-layout, configuring it for your setup, and running your first commands — so you can start getting value in minutes.

Step-by-Step Guide

1. 1

   Install pdf-ocr-layout: npx clawhub@latest --dir ~/.claude/skills install pdf-ocr-layout

2. 2

   Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)

3. 3

   Type a natural language request related to documents & notes to trigger pdf-ocr-layout

4. 4

   Review the output and refine your prompt for better results

5. 5

   Combine pdf-ocr-layout with other skills to build multi-step workflows

Example Prompts

Copy these prompts and use them with your AI agent after installing pdf-ocr-layout

More Use Cases for pdf-ocr-layout