# opencr-skill

> opencr-skill — topdu-opencr-skill. Use this tool when you need to extract text from visual sources, such as images, documents, and scanned PDFs, to solve problems like data entry, document indexing, and text analysis. It uses OpenOCR to support text detection and recognition, taking visual files as input and producing extracted text as output. Ideal for automating tasks that require converting uneditable text into editable formats.

Canonical page: https://skillsregistry.net/skills/topdu-opencr-skill  
JSON: https://api.skillsregistry.net/v1/skills/topdu-opencr-skill

## Description

Extract text from images, documents and scanned PDFs using OpenOCR - supports text detection, recognition.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/topdu-opencr-skill)

## 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": "topdu-opencr-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/topdu-opencr-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/topdu-opencr-skill/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