Deepgram

Voice AI platform for developers.

4.9•68 reviews•

2K followers

Voice AI platform for developers.

4.9•68 reviews•

2K followers

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AI Voice Agents

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Text-to-Speech Software

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Transcription

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!

Deepgram Reviews

The community submitted 68 reviews to tell us what they like about Deepgram, what Deepgram can do better, and more.

4.9

Based on 68 reviews

Review Deepgram?

Reviewers mostly praise Deepgram for fast, accurate transcription and low-latency performance, with several users also calling out easy APIs, strong speaker diarization, and useful voice generation. The sentiment is consistently positive, especially around real-time and scalable speech work. A few makers of products built on it, including Daily.co, Vapi, and Shimmer ADHD, endorse it too, but they provide no extra detail. The main criticism is narrower: some users want better text-to-speech accuracy and improved multilingual detection.

+65

Summarized with AI

Pros

high accuracy (18)

fast performance (12)

speech-to-text API (12)

real-time transcription (8)

cost-effective (4)

low latency (4)

text-to-speech (4)

easy-to-use API (3)

multilingual support (3)

free tier (2)

Pros

Cons

Wispr FlowStop typing. Start speaking. 4x faster.

Promoted

Reviews

All Reviews

Most Informative

used Deepgram to build graph8

•5 reviews

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.

What's great

fast performance (12)real-time transcription (8)high accuracy (18)

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124 views1yr ago

used Deepgram to build InterviewBee AI

•3 reviews

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.

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121 views1yr ago

used Deepgram to build Breyta.ai

•5 reviews

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.

What's great

multilingual support (3)high accuracy (18)speaker diarization (2)

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69 views1yr ago

used Deepgram to build Poised Cupid

•6 reviews

Deepgram's technologies powered the voice AI in Poised Cupid. Deepgram's accuracy and real-time processing speed was unmatched. Their models helped AI Wingmate handle casual conversation amazingly well, which was crucial for our dating profile reviews and mock dates.

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15 views1yr ago

•1 review

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

What's great

high accuracy (18)speaker diarization (2)

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21 views1yr ago

•9 reviews

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.

What's great

fast performance (12)high accuracy (18)scalable transcription services (1)

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18 views1yr ago

used Deepgram to build Layercode CLI

•3 reviews

Nailing accurate speech-to-text transcription is the first — crucial — step to any agent powered by a voice pipeline. We've tested a lot of STT models and found Deepgram to consistently beat the alternatives when it comes to speed and accuracy. We're excited to be able to offer their speech-to-text transcription to all users building voice agents with Layercode.

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14 views8mo ago

used Deepgram to build Whisper STT Telegram Bot

•6 reviews

Deepgram is our reliable backup transcription engine. It’s fast, accurate for real-time speech, and great for fallback scenarios when Whisper isn’t ideal. Having it in our stack ensures consistent performance and user satisfaction.

What's great

fast performance (12)real-time transcription (8)high accuracy (18)

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7 views1yr ago

•11 reviews

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.

What's great

text-to-speech (4)

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18 views1yr ago

used Deepgram to build Thinnest AI

•4 reviews

Deepgram gave us fast, reliable speech infrastructure and developer-first APIs that made it easy to build low-latency voice agents. Their startup program and support helped us move from prototype to production much faster.

Alternatives Considered

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7 views10d ago

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