Deepgram

Deepgram provides a suite of application programming interfaces (APIs) designed for processing human speech in enterprise environments. Its core offerings include Speech-to-Text (STT), Text-to-Speech (TTS), and Voice Agent APIs, along with an Audio Intelligence module for deeper analysis. The STT engine, branded as Nova, converts spoken language into written text in real time or through batch processing. It supports ten languages: English, Spanish, German, French, Hindi, Russian, Portuguese, Japanese, Italian, and Dutch. The system detects the language automatically and recognizes when a speaker has finished talking, enabling natural conversational flows. The TTS API, called Flux, generates synthetic speech from text input, allowing developers to embed voice output into applications. A separate Voice Agent API combines both STT and TTS capabilities into a single endpoint, eliminating the need to integrate separate components. This unified API manages turn‑taking, language detection, and response generation, simplifying the construction of voice‑based conversational interfaces such as virtual assistants, call center bots, and interactive voice response systems. Deepgram’s Audio Intelligence feature extracts metadata and insights from audio streams, including speaker diarization (identifying who spoke when), sentiment analysis, topic detection, and content summarization. All APIs are available in both cloud‑hosted and self‑hosted deployments, giving organizations flexibility in data residency and compliance requirements. Real‑time streaming endpoints handle low‑latency use cases like live captioning, while batch endpoints process pre‑recorded audio files for transcription and analysis. The underlying neural network models are trained on large corpora of domain‑specific sp