Inworld Realtime STTInworld
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MAI-Transcribe-2-StreamingMicrosoft AI
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Related Products
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About
Inworld Realtime STT is a realtime streaming STT API that understands users beyond their words. It combines low-latency speech recognition with voice profiling, extracting emotion, vocal style, accent, age, and pitch directly from raw audio so downstream LLMs and TTS systems can respond with more adaptive, expressive behavior. Developers can stream audio in real time, transcribe complete files, or extract voice profile signals through one unified API, with realtime bidirectional streaming over WebSocket, synchronous transcription for full audio files, voice profile signals on every streaming chunk, and multi-provider support through a single model ID. Every audio chunk can produce a realtime profile of the speaker with confidence scores, giving LLMs structured context such as whether a user sounds sad, frustrated, soft, high-pitched, or calm.
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About
MAI-Transcribe-2-Streaming is a low-latency streaming transcription model built for real-time speech applications, delivering transcripts in 60 languages with automatic, continuous language detection. Rather than waiting for someone to finish speaking, it produces initial partial transcripts just over 100 ms after receiving audio, revises them as more context arrives, and commits stable text quickly. This allows voice applications to begin reasoning, calling tools, or displaying live transcripts while a person is still speaking. Microsoft reports that the model ranks No. 1 for both final and partial transcript accuracy on Artificial Analysis. MAI-Voice-2.1 complements it with multilingual text-to-speech across 23 languages and 26 locales, allowing a single voice to switch languages while maintaining the same speaker identity and adopting native accents.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI teams building realtime assistants that need fast transcription, speaker context, multilingual support, and emotionally adaptive responses
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Audience
Developers and AI teams seeking to build fast, multilingual voice agents, real-time transcription systems, and conversational speech applications
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
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Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationInworld
Founded: 2021
United States
inworld.ai/speech-to-text
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Company InformationMicrosoft AI
Founded: 2024
United States
microsoft.ai/news/our-first-streaming-transcription-model/
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Integrations
No info available.
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Integrations
No info available.
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