> ## Documentation Index
> Fetch the complete documentation index at: https://60db.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Stt

# Speech-to-Text (STT)

Transcribe audio files to text with speaker diarization.

## Available Tools

| Tool                  | Description                        |
| --------------------- | ---------------------------------- |
| `60db_stt_transcribe` | Transcribe audio to text           |
| `60db_stt_logs`       | View transcription history         |
| `60db_stt_get`        | Get specific transcription details |

## Transcribe Audio

Convert audio to text:

```typescript theme={null}
{
  "audio_url": "https://example.com/meeting.mp3",
  "language": "en-US",
  "diarization": true,
  "timestamps": true
}
```

**Response**:

```markdown theme={null}
# Transcription Complete

**Language**: en-US
**Duration**: 5:23
**Speakers**: 2

## Transcript

**[00:00:00] Speaker 1**: Good morning, everyone.
**[00:00:05] Speaker 2**: Good morning! How are you?
```

## Parameters

| Parameter     | Type    | Default  | Description        |
| ------------- | ------- | -------- | ------------------ |
| `audio_url`   | string  | Required | URL to audio file  |
| `language`    | string  | auto     | Language code      |
| `diarization` | boolean | false    | Identify speakers  |
| `punctuation` | boolean | true     | Add punctuation    |
| `timestamps`  | boolean | false    | Include timestamps |

## Usage in Claude

```
You: Transcribe this meeting audio
You: Transcribe with speaker identification
You: Get timestamps for the transcription
```

## Supported Audio Formats

* MP3, WAV, M4A, OGG, FLAC
* Recommended: 44.1kHz sample rate, 128kbps+ bitrate

## Related

* [TTS](/mcp-server/tts) - Text-to-speech