Extract text from images and scanned documents using PaddleOCR - supports 100+ languages
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install smarOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install smarβ 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/smar/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What smart_ocr can do for your AI workflow
Text from images and scanned directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,233+ 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 smart_ocr
Help me get started with smart_ocr
Explains what smart_ocr does, walks through the setup, and runs a quick demo based on your current project
Use smart_ocr to extract text from images and scanned documents using PaddleOCR - su...
Invokes smart_ocr with the right parameters and returns the result directly in the conversation
What can I do with smart_ocr in my documents & notes workflow?
Lists the top use cases for smart_ocr, with example commands for each scenario
Guides & tutorials for AI skills
smart_ocr extends your AI assistant with the ability to extract text from images and scanned documents using PaddleOCR - supports 100+ languages. 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 smart_ocr as its underlying capability.
smart_ocr 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 smart_ocr 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.
Getting started with smart_ocr takes about two minutes. Place the skill at `~/.claude/skills/smar/` (personal, all projects) or `.claude/skills/smar/` (project-specific), then restart your AI client. From that point, typing `/smar` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
smart_ocr has been installed 1,233 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. 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/smar/ for personal use (all projects), or .claude/skills/smar/ for project-specific use. Restart your AI client, then invoke with /smar or let the AI discover it automatically.
smart_ocr supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
smart_ocr is free to install. Check the repository for licensing information.
Extract text from images and scanned documents using PaddleOCR - supports 100+ languages
Automate my documents & notes tasks using smart_ocr
Identifies repetitive steps in your workflow and sets up smart_ocr to handle them automatically
MCP vs traditional plugins: what's the difference?
smart_ocr is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.