# fast-paddleocr-mcp

> Use this tool when you need to extract text from images quickly and efficiently, solving problems such as document scanning, image-based data entry, and text recognition. It takes images as input and outputs text results in markdown format, utilizing GPU acceleration for fast inference. Ideal for use cases requiring rapid and accurate optical character recognition.

Canonical page: https://skillsregistry.net/skills/trotsky1997-paddleocr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/trotsky1997-paddleocr-mcp

## Description

Extracts text from images using PaddleOCR and outputs results in markdown format, optimized for fast inference with GPU auto-detection.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wc0db9rhe0)
- **Repository:** <https://github.com/trotsky1997/PaddleOCR-MCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "trotsky1997-paddleocr-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trotsky1997-paddleocr-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trotsky1997-paddleocr-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
