How Scribe v2 Realtime Works
Blog post from ElevenLabs
Scribe v2 Realtime is an advanced Speech to Text model developed by ElevenLabs, designed for ultra-low latency live transcriptions, making it ideal for applications like voice agents and meeting notetakers. Unlike its counterpart, Scribe v2, which is suited for batch transcription tasks such as subtitling and captioning, Scribe v2 Realtime excels in scenarios requiring immediate transcription, like live language translation when integrated with the Chrome Translator API. The model operates through a Speech to Text API, requiring secure initialization with either an API key or a single-use token, depending on whether the connection is server-side or client-side. Users can employ two types of transcripts: partial, which are live and streamed in real time, and committed, which are more accurate as they provide context for the conversation. The model supports two commit strategies, manual and automatic via Voice Activity Detection (VAD), to optimize transcript segmentation. By leveraging these features, developers can build applications that deliver precise and real-time transcription services, with the potential to include additional features like live translation by integrating with AI translation APIs.
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