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)
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install pdf-ocr-layoutOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install pdf-ocr-layoutβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/pdf-ocr-layout/π‘Extract and place the folder at the path above, then restart your agent.
Category
What pdf-ocr-layout can do for your AI workflow
Multi-modal document in-depth directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,392+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing pdf-ocr-layout
Help me get started with pdf-ocr-layout
Explains what pdf-ocr-layout does, walks through the setup, and runs a quick demo based on your current project
Use pdf-ocr-layout to multi-modal document in-depth analysis tool based on GLM-OCR, GLM-4
Invokes pdf-ocr-layout with the right parameters and returns the result directly in the conversation
What can I do with pdf-ocr-layout in my documents & notes workflow?
Lists the top use cases for pdf-ocr-layout, with example commands for each scenario
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pdf-ocr-layout extends your AI assistant with the ability to 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). Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using pdf-ocr-layout as its underlying capability.
pdf-ocr-layout works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install pdf-ocr-layout once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
pdf-ocr-layout installs like any other MCP skill: drop the folder into `~/.claude/skills/pdf-ocr-layout/` for global access, or `.claude/skills/pdf-ocr-layout/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/pdf-ocr-layout`, or let the AI decide when it's the right tool for your request.
pdf-ocr-layout has been installed 1,392 times, making it one of the more actively used skills in the Documents & Notes category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/pdf-ocr-layout/ for personal use (all projects), or .claude/skills/pdf-ocr-layout/ for project-specific use. Restart your AI client, then invoke with /pdf-ocr-layout or let the AI discover it automatically.
pdf-ocr-layout supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
pdf-ocr-layout is free to install. Check the repository for licensing information.
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)
Links
Automate my documents & notes tasks using pdf-ocr-layout
Identifies repetitive steps in your workflow and sets up pdf-ocr-layout to handle them automatically
pdf-ocr-layout is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.