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GPT Realtime Transcribe 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.
Note
GPT Realtime Transcribe is a Realtime API model. For offline file transcription via POST /v1/audio/transcriptions, use gpt-transcribe.
Realtime transcription uses a persistent streaming session, not one-request-per-file upload. Choose Realtime API when you need low-latency transcript updates while audio is still in progress.
Note
GPT Realtime Whisper is a Realtime API model. For offline file transcription via POST /v1/audio/transcriptions, use gpt-transcribe.
Realtime transcription uses a persistent streaming session, not one-request-per-file upload. Choose Realtime API when you need low-latency transcript updates while audio is still in progress.
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 Transcribe
Use GPT Realtime Transcribe 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
You can access GPT Realtime Transcribe through the Realtime API. The connection and usage patterns are the same as for other realtime models:
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 Transcribe 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.
Deployment and availability
You can deploy GPT Realtime Transcribe as a Global Standard (pay-as-you-go) deployment in Microsoft Foundry. Deploy the model from the model catalog.
For current region support, see Region availability for Foundry Models sold by Azure.
Pricing
gpt-realtime-whisper is priced hourly. For current rates, see the Audio Models section on the Azure OpenAI pricing page.