Standardize speech recognition across providers while preserving the flexibility to switch when quality, cost, or compliance requirements change.
A gateway node receiving audio streams and routing them to multiple STT providers (Google, Deepgram, Whisper) with quality and latency indicators.
Voice-first AI agents depend on accurate, low-latency transcription. But STT providers differ in accuracy, language support, pricing, and latency characteristics. Hard-wiring to a single provider limits flexibility and creates risk.
The STT Gateway gives teams a single interface to access any supported speech recognition provider. Switching is a configuration change, not a rebuild.
Before and after: direct integrations to multiple STT providers on the left, a clean single gateway interface on the right.
Different audio streams being routed to different STT providers based on language and quality requirements.
Route transcription requests based on language, accuracy requirements, latency sensitivity, or cost. Use one provider for English and another for multilingual workloads. Adjust as provider capabilities evolve.
The gateway abstracts provider differences so the rest of the platform operates against a consistent transcription interface.
Voice agents need transcription results in real time. The STT Gateway supports streaming audio processing with the low latency required for natural turn-taking and responsive conversation.
Failover between providers ensures transcription continues even when an upstream service degrades.
A latency timeline showing audio capture, streaming transcription, and result delivery within sub-second thresholds.
Multi-provider STT with routing flexibility and production-grade reliability.