Audience
Live events technology teams that need low-latency speech-to-text for real-time captions, transcripts, and post-event content workflows
About GPT‑Realtime‑Whisper
GPT-Realtime-Whisper is OpenAI’s streaming transcription model built for low-latency speech-to-text experiences in live products. It transcribes audio as people speak, helping voice-enabled apps feel faster, more responsive, and more natural, from captions that appear in the moment to meeting notes that keep up with the conversation. It makes live speech usable inside business workflows as it happens, so teams can power captions for meetings, classrooms, broadcasts, and events, generate notes and summaries while conversations are still in progress, build voice agents that need to understand users continuously, and create faster follow-up workflows for high-volume spoken interactions. It is part of a new generation of real-time voice models in the API that can reason, translate, and transcribe as people speak, moving real-time audio beyond simple call-and-response toward voice interfaces that can listen, translate, transcribe, and take action as a conversation unfolds.
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Otter is where conversations live. Generate rich notes for meetings, interviews, lectures, and other important voice conversations with Otter, your AI-powered assistant. Organizations who have the Otter advantage. Teams big and small trust Otter to transcribe their important conversations. Our shiny new release, Otter 2.0, adds more functionality to improve collaboration and productivity. The Teams plan includes capabilities designed especially for small and medium businesses and teams in larger enterprises. Record and review in real time. Search, play, edit, organize, and share your conversations from any device. Record conversations using Otter on your phone or web browser. Import or sync recordings from other services. Integrate with Zoom. Get real-time streaming transcripts and, within minutes, rich, searchable notes with text, audio, images, speaker ID, and key phrases. Share or export voice notes to inform others and get on the same page.
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Voxtral Mini Transcribe 3
Voxtral Mini Transcribe 3 is a speech-to-text model from Mistral AI that converts audio recordings into written transcripts through an API. Developers can submit audio for batch transcription and receive text with timestamps and speaker labels. It supports multilingual transcription, speaker diarization, and context biasing, which lets an application supply names or specialized vocabulary to guide recognition. The model is designed for developers building applications and audio workflows that need to make recorded speech searchable, attribute words to speakers, or align transcript segments with audio. Teams can call it through Mistral's hosted API and incorporate its output into their own software, such as transcription pipelines and voice-enabled services. It is a model/API offering rather than a standalone recording or editing application.
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Gemini 3.5 Transcribe
Gemini 3.5 Transcribe is Google’s most precise speech-to-text model yet, designed for intelligent voice interactions and real-time transcription. Instead of simply converting speech word for word, it turns raw audio into accurate, polished, formatted text while handling background noise, complex jargon, accents, dialects, and natural speaking patterns. Smart transcription automatically understands self-corrections, removes filler words such as “ums” and “ahs,” and formats the final text for readability. The model supports continuous bidirectional streaming with sub-second latency for interactive voice applications, as well as pre-recorded audio processing for meetings, call logs, and other recordings with speaker attribution and word-level timestamps. Custom vocabulary helps it recognize specialized terminology, unique spellings, postal codes, order IDs, and other domain-specific language.
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Voxtral Mini Transcribe Realtime 3
Voxtral Mini Transcribe Realtime 3 is a speech-to-text model delivered through Mistral’s API for applications that need live transcription. It streams audio over WebSocket and returns transcript events while a person is speaking, with configurable streaming delays. Developers can use it to add real-time captions, voice-assistant input, or transcription to voice-agent workflows. The model provides turn detection, speaker diarization, and context biasing for domain-specific vocabulary, and supports transcription across 45 languages and dialects. Applications can connect to its real-time endpoint and receive transcription events as audio arrives, rather than waiting for an entire recording to finish. Voxtral Mini Transcribe Realtime 3 is part of Mistral’s Voxtral audio model family.
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Pricing
Starting Price:
$0.017 per minute
Free Trial:
Free Trial available.
Company Information
OpenAI
Founded: 2015
United States
openai.com/index/advancing-voice-intelligence-with-new-models-in-the-api/
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Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
GPT‑Realtime‑Whisper Frequently Asked Questions
Q: What kinds of users and organization types does GPT‑Realtime‑Whisper work with?
GPT‑Realtime‑Whisper works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does GPT‑Realtime‑Whisper support in their product?
GPT‑Realtime‑Whisper supports these languages: English.
Q: What kind of support options does GPT‑Realtime‑Whisper offer?
GPT‑Realtime‑Whisper offers support via online.
Q: What other applications or services does GPT‑Realtime‑Whisper integrate with?
GPT‑Realtime‑Whisper integrates with: gpt-realtime, OpenAI, and OpenAI Whisper.
Q: Does GPT‑Realtime‑Whisper have an API?
Yes, GPT‑Realtime‑Whisper has an API.
Q: What type of training does GPT‑Realtime‑Whisper provide?
GPT‑Realtime‑Whisper provides training in the form of documentation.
Q: Does GPT‑Realtime‑Whisper offer a free trial?
Yes, GPT‑Realtime‑Whisper offers a free trial.
Q: How much does GPT‑Realtime‑Whisper cost?
Pricing for GPT‑Realtime‑Whisper starts at $0.017 per minute.
