# picturereader

> picturereader — jing-hy-picturereader-zcode. Use this tool when you need to analyze images using text-only LLMs, as it converts images into structured text grids and extracts text via OCR, enabling detailed image analysis without external dependencies. It solves problems of image understanding and text extraction in various use cases, such as document scanning and image description. The picturereader tool takes images as input and outputs structured text grids and extracted text, making it ideal for applications requiring local and autonomous image analysis.

Canonical page: https://skillsregistry.net/skills/jing-hy-picturereader-zcode  
JSON: https://api.skillsregistry.net/v1/skills/jing-hy-picturereader-zcode

## Description

Enables text-only LLMs to understand images by converting them into structured text grids (colors, textures, regions) and OCR via MCP tools. Runs locally with zero external dependencies, providing a skill-based methodology for detailed image analysis.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wuag3k3ajb)
- **Repository:** <https://github.com/jing-hy/picturereader-zcode>

## 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": "jing-hy-picturereader-zcode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jing-hy-picturereader-zcode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jing-hy-picturereader-zcode/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
