Enterprise Voice AI platform designed for developers building voice-first products using speech-to-text, text-to-speech, or speech-to-speech APIs. Over 200,000 developers build with Deepgram's voice-native foundational models, accessed via APIs or self-managed software. Start building with $200 in free credits!

fast performance (12)

speech-to-text API (12)

real-time transcription (8)

multilingual support (3)

fast performance (12)

speech-to-text API (12)

real-time transcription (8)

multilingual support (3)

Deepgram's Nova model consistently delivers super low WER with surprisingly accurate speaker diarization - game-changing for our AI wearable's conversation analysis.

Deepgram is an AI-powered voice transcription platform that offers fast, accurate, reliable, and scalable transcription services for enterprise needs. Pros: High Speed and Accuracy: Deepgram is known for its impressive transcription speed and high accuracy, making it easy for listeners to understand meeting and call transcripts.

As an entrepreneur building an AI Tour Guide mobile app, this platform has been incredibly helpful for my team—it allows us to generate a wide range of voices for our tour guides, enhancing the user experience.

Fast Performance, Easy-to-use API, what's there not to love? The text-to-speech can be a bit more accurate though, that's the only reason why it didn't earn 5 stars from me...

We use Deepgram to transcribe live AI-driven training calls, where SDRs and sales reps practice conversations with an AI agent impersonating real prospects. The fast, accurate transcription is essential — it enables our coaching system to deliver instant feedback and correction right after each mock call. This real-time loop helps reps improve faster, and we’re thankful to the Deepgram team for enabling it.

Deepgram outperforms Google Speech-to-Text and AWS Transcribe for our interview transcription needs with higher accuracy for diverse accents and technical terminology (95%+ vs 85-90%). Unlike Whisper, Deepgram processes speech in real-time with minimal latency (200-300ms), which is crucial during interviews. Assembly AI was competitive but didn't match Deepgram's performance with background noise in typical video call environments.

We’ve been using Deepgram and find its features invaluable. The natural handling of multiple languages and high transcription quality capture every nuance, while the speaker diarization makes subsequent analysis much better. These capabilities have significantly enhanced our product’s accuracy and efficiency, fitting seamlessly into our workflow.

Deepgram

Voice AI platform for developers.

Voice AI platform for developers.

Deepgram Reviews

The community submitted 67 reviews to tell us what they like about Deepgram, what Deepgram can do better, and more.

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What needs improvement

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