# audio-transcriber

> audio-transcriber — knuckles-team-audio-transcriber. Use this tool when you need to convert spoken words into written text, solving problems such as interview note-taking, podcast transcription, and audio data analysis. It takes audio files as input and outputs corresponding text transcripts, providing an interface for efficient transcription. Ideal for use cases where manual transcription is time-consuming or impractical, such as large-scale audio data processing or real-time transcription needs.

Canonical page: https://skillsregistry.net/skills/knuckles-team-audio-transcriber  
JSON: https://api.skillsregistry.net/v1/skills/knuckles-team-audio-transcriber

## Description

Transcribe audio into text. Agentic AI supported through MCP Server.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Knuckles-Team/audio-transcriber)

## 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": "knuckles-team-audio-transcriber"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/knuckles-team-audio-transcriber` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/knuckles-team-audio-transcriber/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