Deepgram

Voice AI platform for developers.

4.9•75 reviews•

2K followers

Voice AI platform for developers.

4.9•75 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 75 reviews to tell us what they like about Deepgram, what Deepgram can do better, and more.

4.9

Based on 75 reviews

Review Deepgram?

Reviewers mostly see Deepgram as a strong fit for real-time voice apps, praising fast transcription, low latency, solid accuracy, streaming support, and an API that is easy to integrate. Users say it helps voice assistants feel responsive, while one also highlights speaker diarization and another likes its voice generation. Feedback from the makers of products like Daily.co is mostly empty, but other founders repeatedly point to speed, reliability, and production use. The main complaints are thinner debugging visibility, weaker text-to-speech accuracy, and room to improve multilingual detection.

+72

Summarized with AI

Pros

high accuracy (19)

fast performance (13)

speech-to-text API (13)

real-time transcription (9)

text-to-speech (5)

cost-effective (4)

easy-to-use API (4)

low latency (4)

multilingual support (4)

easy integration (2)

Pros

Cons

Reviews

All Reviews

Most Informative

•10 reviews

What's great

fast performance (13)easy integration (2)text-to-speech (5)multilingual support (4)easy-to-use API (4)real-time transcription (9)high accuracy (19)speech-to-text API (13)

Deepgram is a solid speech-to-text layer for voice AI products. I like it because transcription speed and accuracy directly affect the whole voice experience. If the transcript is slow or messy, the assistant feels broken even if the rest of the system is good.

Deepgram fits well for real-time voice workflows where you need fast transcripts, streaming, and decent reliability without building the speech layer yourself.

What needs improvement

Debugging could be clearer when transcription quality drops. In real calls, issues can come from noise, accents, mic quality, latency, or silence handling. More visibility into why a transcript was uncertain or delayed would help developers tune the experience faster.

vs Alternatives

AssemblyAI

Whisper by OpenAI

I considered Deepgram mainly for real-time voice AI use cases. Whisper-style models are useful, but for interactive voice products, speed and streaming behavior matter a lot. Deepgram feels more suited for that kind of workflow.

Ratings

Ease of use

Reliability

Value for money

Customization

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16 views13d ago

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 (13)real-time transcription (9)high accuracy (19)

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173 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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157 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 (4)high accuracy (19)speaker diarization (2)

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90 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 (19)speaker diarization (2)

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30 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 (13)high accuracy (19)scalable transcription services (1)

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25 views1yr ago

used Deepgram to build Layercode CLI

•9 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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15 views9mo ago

used Deepgram to build Mira

•4 reviews

Real-time accuracy and low latency were non-negotiable for Mira. The AI moderator needs to process speech fast enough to generate intelligent follow-up questions mid-interview, any lag breaks the conversation flow. Deepgram's Nova model gave us the transcription speed and reliability we needed across multiple languages without compromising accuracy.

Alternatives Considered

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9 views13d ago

used Deepgram to build Toyo

•9 reviews

Deepgram gives Toyo agents ears: They transcribe user phone calls and iMessage voice notes in real time, so you can just talk — ramble a to-do list, describe your company, leave a voice note at midnight — and your Toyo catches every word. Deepgram is fast, accurate, and holds up to messy real-world transcriptions incredibly well.

Alternatives Considered

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5 views11d ago

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