Deepgram provides APIs for speech-to-text, text-to-speech, and voice agent orchestration. It processes audio input through conversational speech recognition that detects end-of-turn and interruptions, streaming transcripts in real-time. The platform coordinates context, memory, and AI reasoning via LLM orchestration, including function calling and connections to language models. Users integrate transport layers for audio streams and playback, with options for cloud or self-hosted deployment to address latency needs. Features support real-time and batch processing, unifying components into a single API for enterprise voice solutions.
Very accurate speech-to-text, even with noise.
Low-latency streaming suited to live voice agents.
Unified STT, TTS, and agent orchestration in one API.
Strong developer experience, docs, and SDKs.
Smaller TTS voice selection; no cloning.
Supports fewer languages than big clouds.
