High-accuracy speech-to-text, natural text-to-speech, and real-time orchestration for scalable voicebots, assistants, and AI agents. Power enterprise conversational AI with streaming performance and full control.
Conversational AI agents are only as good as their ability to respond instantly. Delays break the flow, frustrate users, and reduce trust. Deepgram’s streaming architecture delivers sub-second round-trip latency across speech-to-text and text-to-speech, keeping your voice agents natural, responsive, and humanlike even at scale.
Deepgram’s AI models are designed for the complexities of real-world conversations, managing speech, timing, and turn taking to deliver fluid, natural interactions.
Capture words with minimal errors to ensure agents process clean, reliable transcripts.
Adapt to business-specific terms, product names, and specialized jargon in real time.
Track who’s speaking to maintain context in multi-party conversations.
Identify key topics to help agents follow shifts in intent and conversation flow.
Automatically detect spoken language for multilingual conversation support.
Know when users have finished speaking to avoid interruptions or long delays.
Stream transcription and natural speech synthesis through one API built for real-time AI voice agents.
