# Audio Transcriber (OpenAI Whisper)

> Use this tool when you need to convert spoken audio into text using AI-powered speech recognition, solving problems like inaccessible audio content and manual transcription efforts. It takes audio files as input and produces transcribed text as output, with configurable language settings and optional file saving. Ideal for use cases where accurate and efficient audio transcription is required, such as podcast analysis, interview transcription, or video content processing.

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

## Description

Audio transcription server that provides speech-to-text capabilities using OpenAI's Whisper API. Built with TypeScript and the MCP SDK, it exposes a tool for transcribing audio files with configurable language settings and optional file saving. Particularly valuable for users who need to convert spoken content to text through AI assistants while maintaining control over the transcription process and output format.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/audio-transcriber)
- **Repository:** <https://github.com/ichigo3766/audio-transcriber-mcp>

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

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