# audio-transcribe

> Use this tool when you need to automatically transcribe voice messages into text, solving the problem of manual transcription and increasing efficiency in note-taking, interviews, or lectures. It takes audio files as input and produces text transcripts as output, all locally without requiring an API key. Ideal for use cases where quick and accurate transcription is necessary, such as podcast analysis or meeting summaries.

Canonical page: https://skillsregistry.net/skills/aktheknight-audio-transcribe  
JSON: https://api.skillsregistry.net/v1/skills/aktheknight-audio-transcribe

## Description

Auto-transcribe voice messages using faster-whisper (local, no API key needed).

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/aktheknight-audio-transcribe)

## 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": "aktheknight-audio-transcribe"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aktheknight-audio-transcribe` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aktheknight-audio-transcribe/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