Deepgram
Real-time, accurate, and scalable voice AI for enterprises.
Technology
How Deepgram’s technology works — architecture, AI models, and technical capabilities.
How does Deepgram work?
Deepgram operates by utilizing a unified Voice Agent API that integrates Speech-to-Text (STT), Text-to-Speech (TTS), and LLM orchestration. This architecture reduces complexity and latency while providing real-time, accurate transcription and voice generation capabilities.
What type of AI does Deepgram use?
Deepgram employs deep learning algorithms and natural language processing (NLP) techniques to power its speech recognition and generation capabilities. This AI technology enables high accuracy and low latency in processing spoken language.
What are Deepgram's main features?
Deepgram's main features include ultra-accurate speech-to-text transcription, real-time processing, support for over 50 languages, and customizable models for specific industry vocabularies. It also offers smart formatting, speaker diarization, and automatic redaction of sensitive information.
What technology powers Deepgram?
Deepgram is powered by advanced machine learning models, including Flux for real-time speech recognition and Nova-3 for high-performance transcription. These models are designed for low latency and high accuracy, making them suitable for enterprise-scale applications.
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