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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.

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Getting Started

Follow these steps to configure your provider:
1

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).
2

Select Whisper as your STT provider

When configuring your assistant, open Audio Settings and choose OpenAI as your Speech-to-Text provider.
3

Choose a model

Rapida supports the following Whisper models:

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Supported Languages

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

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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

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Configuration Options

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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.