Asynchronous Recognition
A speech recognition approach in which the complete audio is uploaded first and then a full transcription with timestamps and punctuation is returned at once. It can access global context and offers higher accuracy but greater latency.
Timeline (last 90 days)
Asynchronous recognition uploads the complete audio first and then returns the full transcript with timestamps and punctuation in one go, can access global context, and typically achieves higher accuracy and formatting quality, but latency is measured in seconds or even minutes.
Streaming recognition typically maintains a long connection via WebSocket and is suitable for interactive scenarios such as voice input methods and real-time subtitles; asynchronous recognition returns results via polling or webhooks and is better suited to offline scenarios such as recorded notes and meeting minutes.
All Facts (2)
Asynchronous recognition uploads the complete audio first and then returns the full transcript with timestamps and punctuation in one go, can access global context, and typically achieves higher accuracy and formatting quality, but latency is measured in seconds or even minutes.
50%UnverifiedStreaming recognition typically maintains a long connection via WebSocket and is suitable for interactive scenarios such as voice input methods and real-time subtitles; asynchronous recognition returns results via polling or webhooks and is better suited to offline scenarios such as recorded notes and meeting minutes.
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