For applications requiring immediacy, Scribe v2 Realtime provides sub-150 millisecond latency, making it the benchmark for live transcription needs such as customer service environments, virtual meetings, or powering dynamic conversational agents. This real-time capability is supported by streaming-first architecture, ensuring seamless integration into products that demand instant understanding of live speech across more than 90 languages. Furthermore, the system intelligently handles Voice Activity Detection, precisely segmenting speech boundaries for smoother live processing.
Beyond real-time conversion, the standard Scribe v2 excels in processing pre-recorded audio and video files, enabling users to effortlessly generate captions, subtitles, and fully editable transcripts for content like podcasts or instructional videos. This version also incorporates advanced features such as Keyterm Prompting to guide transcription accuracy on specific vocabulary, Dynamic Audio Tagging to mark non-speech events like laughter, and robust Speaker & Entity Detection to differentiate participants and log timestamps effectively. Content creators and enterprises alike benefit from this rich contextual data embedded within the transcript output.
