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Deepgram
Power your apps with world-class speech and domain-specific language models (DSLMs)
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About Deepgram
Power your apps with world-class speech and domain-specific language models (DSLMs). Power enterprise voice solutions with Deepgram’s Speech-to-Text, Text-to-Speech, and Voice Agent APIs. Real-time, accurate, and built for scale. Deepgram is an enterprise-grade Voice AI platform that provides APIs for speech-to-text transcription, text-to-speech generation, and full voice agent orchestration. It focuses on real-time, accurate processing for developers building conversational AI apps. Key features include low-latency real-time transcription, support for over 30 languages, speaker diarization, keyword boosting, and custom model training for industry-specific jargon like medical terms. Models like Nova-3 offer up to 54% lower word error rates than competitors. Deepgram's Nova-3 model achieves industry-leading accuracy, with benchmarks showing 35% fewer errors in noisy environments and accents versus OpenAI's Whisper or Google's Chirp. Users report reliable results even for complex audio like meetings or calls. Deepgram excels in real-time streaming transcription with under 300ms latency, making it ideal for live applications like voice agents or customer support. It handles interruptions and end-of-turn detection seamlessly. Deepgram supports over 30 languages for speech-to-text, including English, Spanish, French, German, and Hindi. Text-to-speech via Aura-2 covers English, Spanish, and recently added Dutch, French, German, Italian, and Japanese with natural-sounding voices. Deepgram allows custom model training on your audio data to improve accuracy for accents, jargon, or domain-specific terms, such as NASA communications or healthcare terminology. This is available in Growth and Enterprise plans.
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