# FactScan AI

> FactScan AI — app-factscanai-factscan. Use this tool when you need to extract and understand text from images, such as scanned documents, photos of text, or screenshots. FactScan AI solves problems like data entry, language barriers, and information overload by summarizing and translating extracted text. It takes images as input and outputs summarized or translated text, making it ideal for tasks like document processing, research, and language translation.

Canonical page: https://skillsregistry.net/skills/app-factscanai-factscan  
JSON: https://api.skillsregistry.net/v1/skills/app-factscanai-factscan

## Description

OCR and document understanding: extract text from images, then summarize or translate it.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.factscanai%2Ffactscan)

## Use it

MCP endpoint published by the skill: `https://smganoolzufsdtudhdkr.supabase.co/functions/v1/mcp`

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": "app-factscanai-factscan"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/app-factscanai-factscan` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/app-factscanai-factscan/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