The world's fastest and most accurate AI platform for speech-to-text and text-to-speech.
Deepgram is a category-leading Voice AI platform engineered for high-scale, low-latency applications. Built on a proprietary end-to-end deep learning architecture, specifically its flagship Nova-2 model, Deepgram outperforms legacy providers in accuracy, speed, and cost-efficiency. By bypassing traditional CTC and RNN models in favor of a transformer-based approach, it achieves sub-300ms latency for real-time streaming and massive throughput for batch processing. As of 2026, Deepgram has solidified its market position by integrating its Aura Text-to-Speech (TTS) engine, which provides human-like prosody for conversational AI agents. Its architecture is designed for the modern enterprise, offering flexible deployment options including cloud, on-premise, and VPC. Deepgram’s focus on 'Voice-to-Insights' allows developers to not only transcribe audio but also perform real-time sentiment analysis, summarization, and topic detection via its native Language AI features. This makes it the preferred infrastructure for AI-native companies building sales enablement tools, automated customer service bots, and real-time accessibility solutions.
Proprietary transformer-based model optimized for word error rate (WER) and speed.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Low-latency (<250ms TTFB) conversational AI voice synthesis engine.
Automatically identifies different speakers across a single audio channel.
Ability to process separate audio channels (e.g., caller vs. agent) simultaneously.
Allows developers to pass a list of specific terms to improve recognition of jargon.
Integrated LLM-based summarization, sentiment analysis, and intent recognition.
Support for Docker/Kubernetes deployment in air-gapped or private cloud environments.
High latency in traditional STT makes AI voice bots feel slow and robotic.
Registry Updated:2/7/2026
Stream LLM response to Deepgram Aura TTS for instant voice playback.
Transcribing millions of hours of calls for compliance and training is cost-prohibitive.
Live broadcasts require near-instant captioning with high accuracy to meet accessibility laws.