Speech-to-Text
Speech-to-text converts a caller's voice into text the moment they speak, so your agent can respond without an awkward delay. Vomyra integrates streaming recognition engines tuned for phone-quality audio, accents and code-mixed speech.
5 speech-to-text integrations
Native, production-ready connections — no glue code required.
Azure
Enterprise STT
Azure Speech adds enterprise compliance and custom acoustic models for domain-specific and industry vocabulary.
Deepgram
Streaming STT
Real-time transcription tuned for phone audio. Deepgram delivers fast, accurate streaming recognition even on noisy mobile lines.
OpenAI
Whisper
OpenAI's speech models deliver robust multilingual transcription that holds up across accents and noisy phone lines.
Groq
Fast STT
Groq runs speech recognition on its LPUs for near-instant transcription, trimming the pause before your agent can respond.
Mistral
Multilingual STT
Mistral's speech models transcribe multilingual conversations accurately with an efficient quality-to-cost balance.
What this layer does for your agent
Real-time streaming
Transcribe as the caller talks so the agent can start forming a response mid-sentence.
Accent-aware
Recognition tuned for Indian accents and Hinglish keeps accuracy high on real-world calls.
Noise resilient
Models trained on telephony audio hold up on low-bandwidth and noisy mobile lines.
Speech-to-Text questions
Does it handle Hinglish and regional languages?
Yes. Engines like Deepgram and OpenAI's Whisper handle code-mixed Hinglish and Indian accents, while covering 100+ global languages.
How fast is transcription?
Streaming engines return partial results in milliseconds, which is what keeps a spoken conversation feeling natural rather than stilted.