# Lizeur

> Use this tool when you need to extract readable text from PDF documents, solving issues with inaccessible or unparseable content. It uses OCR capabilities to provide clean markdown text output, ideal for integrating with AI workflows that require text-based inputs. This tool is particularly useful when working with large PDF files or documents that require intelligent caching for efficient processing.

Canonical page: https://skillsregistry.net/skills/silverbzh-lizeur  
JSON: https://api.skillsregistry.net/v1/skills/silverbzh-lizeur

## Description

Enables AI assistants to extract and read content from PDF documents using Mistral AI's OCR capabilities. Provides intelligent caching and returns clean markdown text for easy integration with AI workflows.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qood5lljtp)
- **Repository:** <https://github.com/SilverBzH/lizeur>

## 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": "silverbzh-lizeur"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/silverbzh-lizeur` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/silverbzh-lizeur/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