> ## Documentation Index
> Fetch the complete documentation index at: https://docs.budecosystem.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Transcribe Audio

> Convert audio files to text in the original language.

<RequestExample>
  ```bash cURL theme={null}
  curl https://gateway.bud.studio/v1/audio/transcriptions \
    -H "Authorization: Bearer YOUR_API_KEY" \
    -F "file=@audio.mp3" \
    -F "model=whisper-1" \
    -F "language=en" \
    -F "response_format=json"
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null}
  {
    "text": "Hello, this is a transcribed audio message."
  }
  ```
</ResponseExample>

## Headers

| Parameter     | Type   | Required | Description                   |
| ------------- | ------ | -------- | ----------------------------- |
| Authorization | string | Yes      | Bearer authentication header  |
| Content-Type  | string | Yes      | Must be `multipart/form-data` |

## Form Data

| Parameter                | Type   | Required | Description                                                                                                               |
| ------------------------ | ------ | -------- | ------------------------------------------------------------------------------------------------------------------------- |
| file                     | file   | Yes      | Audio file to transcribe (max 25MB). Supported formats: `flac`, `mp3`, `mp4`, `mpeg`, `mpga`, `m4a`, `ogg`, `wav`, `webm` |
| model                    | string | Yes      | Model identifier (e.g., `whisper-1`)                                                                                      |
| language                 | string | No       | ISO-639-1 language code of the input audio                                                                                |
| prompt                   | string | No       | Optional text to guide the model's style or continue previous audio segment                                               |
| response\_format         | string | No       | Format of the transcript output: `json`, `text`, `srt`, `verbose_json`, `vtt`. Default: `json`                            |
| temperature              | float  | No       | Sampling temperature (0.0 to 1.0). Default: 0.0                                                                           |
| timestamp\_granularities | array  | No       | Timestamp detail level: `word`, `segment`. Default: `segment`                                                             |

## Supported Providers

<CardGroup cols={3}>
  <Card title="OpenAI" icon="openai">
    Industry-leading Whisper models for high-accuracy transcription
  </Card>

  <Card title="Azure OpenAI" icon="microsoft">
    Enterprise-grade Whisper model support with global availability
  </Card>

  <Card title="Fireworks" icon="fire">
    Fast and efficient Whisper v3 and v3-turbo models
  </Card>
</CardGroup>