openocr-skill

openocr-skill extends your AI assistant with the ability to extract text from images, documents and scanned PDFs using OpenOCR - a lightweight and efficient OCR system with document parsing model requiring only 0.1B parameters, capable of running recognition on personal PCs. Supports text detection, recognition, universal VLM recognition, and document parsing with layout analysis. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using openocr-skill as its underlying capability.

openocr-skill works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install openocr-skill 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 openocr-skill takes about two minutes. Place the skill at `~/.claude/skills/openocr-skill/` (personal, all projects) or `.claude/skills/openocr-skill/` (project-specific), then restart your AI client. From that point, typing `/openocr-skill` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.

openocr-skill has been installed 1,648 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.