# Diariz

> Diariz — kenhayward-diariz. Use this tool when you need to transcribe audio recordings with speaker labeling and timestamping, or when you want to summarize and extract action items from transcripts. Diariz solves problems related to audio transcription, speaker recognition, and collaboration, providing a self-hosted platform with multi-user support and integration with OpenAI-compatible LLMs. It takes audio recordings as input and outputs editable, speaker-labeled transcripts with options for summarization, action item extraction, and chat functionality.

Canonical page: https://skillsregistry.net/skills/kenhayward-diariz  
JSON: https://api.skillsregistry.net/v1/skills/kenhayward-diariz

## Description

Self-hosted, multi-user transcription platform: record or upload audio. Speaker-labeled, timestamped transcripts, Recognize speakers across recordings, Summarize, extract action items and chat over your transcripts with your own OpenAI-compatible LLM. Your Audio, your Server, your Model. Tested: Laptop RTX4070, RTX3090, RTX5090 and ROCM Strix Halo

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/kenhayward/Diariz)

## 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": "kenhayward-diariz"
    }
  }
}
```

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