# youtube-transcript-speaker-diarization

> youtube-transcript-speaker-diarization — youtube-transcript-speaker-diarization. Use this tool when you need to generate speaker-labeled transcripts from YouTube videos, solving the problem of identifying and separating speakers in video content. It takes a YouTube video as input and produces a transcript with labeled speakers as output, utilizing the diarize.io API. Ideal for use cases such as video analysis, content moderation, and accessibility enhancements.

Canonical page: https://skillsregistry.net/skills/youtube-transcript-speaker-diarization  
JSON: https://api.skillsregistry.net/v1/skills/youtube-transcript-speaker-diarization

## Description

Speaker-labeled YouTube transcripts via the diarize.io API.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Updated:** 2026-11-01

## Source

- **Source listing:** [ClawHub](https://clawhub.ai/patelnav/youtube-transcript-speaker-diarization)

## 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": "youtube-transcript-speaker-diarization"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/youtube-transcript-speaker-diarization` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/youtube-transcript-speaker-diarization/pull`

---
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