> ## 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.

# Groq STT

> Groq provides ultra-fast speech-to-text via an OpenAI Whisper-compatible API powered by its LPU inference engine.

## Overview

Groq delivers speech-to-text through its OpenAI Whisper-compatible HTTP API, accelerated by the LPU inference engine for extremely fast transcription. It supports a wide range of languages and is well-suited for real-time voice assistant pipelines that require near-instant transcripts.

## Authentication

| Key   | Description                                               |
| ----- | --------------------------------------------------------- |
| `key` | API key from [console.groq.com](https://console.groq.com) |

## Configuration

| Option     | Description                                                                                            |
| ---------- | ------------------------------------------------------------------------------------------------------ |
| `model`    | Whisper model: `whisper-large-v3-turbo` (fast), `whisper-large-v3` (highest accuracy)                  |
| `language` | ISO-639-1 language code (e.g. `en`, `es`, `fr`, `de`, `ja`, `zh`). Leave blank for automatic detection |

## Getting Started

<Steps>
  <Step title="Add Groq credentials to your vault">
    Navigate to **Integration → Vault** in the Rapida dashboard. Add your Groq API key from your [Groq console](https://console.groq.com).
  </Step>

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

  <Step title="Choose a model and language">
    Select `whisper-large-v3-turbo` for lowest latency or `whisper-large-v3` for maximum accuracy. Optionally set a language code to skip auto-detection.
  </Step>
</Steps>

## Related

* [Groq TTS](/integrations/tts/groq)
* [Deepgram STT](/integrations/stt/deepgram)
* [OpenAI Whisper STT](/integrations/stt/openai-whisper)