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

# OpenAI Whisper

> OpenAI Whisper is a state-of-the-art speech recognition model with broad language support and high accuracy.

OpenAI Whisper is a general-purpose speech recognition model trained on a large, diverse audio dataset. It supports multilingual transcription and translation with strong performance across accents, dialects, and noisy environments.

## Getting Started

Follow these steps to configure your provider:

<Steps>
  <Step title="Add OpenAI credentials to your vault">
    Navigate to **Integration → Vault** in the Rapida dashboard and add your OpenAI API key. This credential is shared across all OpenAI services (LLM, Whisper STT, and TTS).
  </Step>

  <Step title="Select Whisper as your STT provider">
    When configuring your assistant, open **Audio Settings** and choose **OpenAI** as your Speech-to-Text provider.
  </Step>

  <Step title="Choose a model">
    Rapida supports the following Whisper models:

    | Model       | Description                                           |
    | ----------- | ----------------------------------------------------- |
    | `whisper-1` | Standard Whisper model — strong multilingual accuracy |
  </Step>
</Steps>

## Supported Languages

Whisper supports transcription in 99+ languages including English, Spanish, French, German, Japanese, Chinese, Hindi, Arabic, and Portuguese.

## Key Features

* **Noise robustness**: Performs well in challenging acoustic environments
* **Multilingual**: Transcribes 99+ languages without separate language models
* **Punctuation & formatting**: Returns properly punctuated and formatted text
* **Long-form audio**: Handles extended utterances with timestamps

## Configuration Options

| Option      | Description                                                                | Default |
| ----------- | -------------------------------------------------------------------------- | ------- |
| Language    | BCP-47 language code (e.g. `en`, `es`). Leave blank for auto-detection     | Auto    |
| Temperature | Sampling temperature (0–1). Lower values produce more deterministic output | `0`     |
| Prompt      | Optional text to guide transcription style or provide context              | —       |

## Notes

* Whisper is a non-streaming model; Rapida buffers and segments audio before sending to the API.
* For lowest latency in real-time voice, consider Deepgram or AssemblyAI which offer true streaming STT.
* Whisper rate limits and pricing follow your OpenAI account tier.

## Related

* [OpenAI TTS](/integrations/tts/openai-tts)
* [OpenAI LLM](/integrations/llm/openai)