# ai.vidocu/vidocu

> ai.vidocu/vidocu — ai-vidocu-vidocu. Use this tool when you need to automate content creation and documentation from multimedia sources. It solves problems of manual transcription, content summarization, and knowledge extraction by converting videos, PDFs, and slides into subtitles, voiceovers, and written documentation. Ideal for use cases requiring efficient content processing and repurposing, such as e-learning, corporate training, and digital publishing.

Canonical page: https://skillsregistry.net/skills/ai-vidocu-vidocu  
JSON: https://api.skillsregistry.net/v1/skills/ai-vidocu-vidocu

## Description

AI Knowledge Platform: turn videos, PDFs, and slides into subtitles, voiceovers, and documentation

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-26

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.vidocu%2Fvidocu)

## Use it

MCP endpoint published by the skill: `https://mcp.vidocu.ai/`

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": "ai-vidocu-vidocu"
    }
  }
}
```

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