> ## Documentation Index
> Fetch the complete documentation index at: https://hobbyist-e43fa225.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# GPT Realtime Whisper overview

> Learn about GPT Realtime Whisper, a streaming transcription model for low-latency real-time captioning and monitoring of live audio.

GPT Realtime Whisper is a streaming transcription model that converts live audio to text in real time. You can use it alongside speech-to-speech and translation models to provide continuous input transcription for audio streams.

## Key capabilities

* **Streaming transcription**: Transcribes live audio as it arrives, without waiting for the utterance to complete.
* **Low latency**: Designed for real-time scenarios where delays aren't acceptable, such as live captions or quality monitoring.
* **Parallel operation**: Runs alongside other realtime models (such as GPT Realtime Translate) to provide source-language transcription in parallel with translation.

## When to use GPT Realtime Whisper

Use GPT Realtime Whisper when you need:

* Live captions and subtitles for ongoing audio streams.
* Transcription for monitoring, moderation, or analytics workflows.
* Original-language speech captured alongside live translation experiences.
* Text visibility into spoken input while other models process the audio.

## Example use cases

* **Live event captioning**: Provide real-time captions in the speaker's original language during conferences, webinars, or broadcasts.
* **Compliance and quality review**: Capture the original conversation as text for regulatory compliance, quality assurance, or analytics.
* **Multilingual pipelines**: Pair with GPT Realtime Translate to deliver both translated output and a source-language transcript in a single workflow.

## Get started

GPT Realtime Whisper is available through the Realtime API. The connection and usage patterns are the same as for other realtime models:

* [Use the GPT Realtime API via WebSockets](/models/realtime-audio-websockets)
* [Use the GPT Realtime API via WebRTC](/models/realtime-audio-webrtc)

Use the same quickstart code patterns, and set your deployment name to the model deployment you created for `gpt-realtime-whisper`.

## Language support guidance

GPT Realtime Whisper is designed for multilingual transcription. Accuracy can vary by language, audio quality, and speaking conditions.

* Provide an ISO-639-1 language hint (for example, `en`) when available.
* Validate transcription quality with production-like audio before rollout.
* For broader language and locale references, see [Language and voice support for the Speech service](https://learn.microsoft.com/azure/ai-services/speech-service/language-support).

## Deployment and availability

GPT Realtime Whisper is available as a Global Standard (pay-as-you-go) deployment in Microsoft Foundry. Deploy the model from the [model catalog](https://ai.azure.com).

For current region support, see [Region availability for Foundry Models sold by Azure](/models/models-sold-directly-by-azure-region-availability).

## Pricing

`gpt-realtime-whisper` is priced hourly. For current rates, see the **Audio Models** section on the [Azure OpenAI pricing page](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/).