Real-time vs async transcription for contact centers: When streaming is worth the cost

In the context of contact centers, the decision between real-time and asynchronous transcription hinges on architectural fit rather than latency, with each mode serving distinct workflows. Asynchronous transcription, processed via REST API calls, is optimal for post-call tasks such as QA scoring, CRM enrichment, and compliance archiving due to its lower Word Error Rates (WER) and cost efficiency. Real-time transcription, utilizing WebSocket streaming, is reserved for live-call scenarios where sub-300ms latency is crucial, such as live agent assist and IVR routing. Many Contact Center as a Service (CCaaS) platforms mistakenly default to real-time transcription, incurring higher costs and reduced accuracy for post-call analytics. Asynchronous batch processing provides a more cost-effective and accurate solution for most contact center tasks, while real-time transcription remains essential for immediate, live interactions. The integration of both transcription modes through a single platform allows contact centers to choose based on workflow needs without switching vendors, thereby optimizing both costs and transcription accuracy.

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