What do users say?

I use Deepgram for building products that require voice and transcription live. I really appreciate how it allows me to easily bring in voice AI into my products and enables my customers to communicate with an AI agent. What I like most is the ease of using the API for everything. It's great how my agents can connect the API directly into applications with such ease. Additionally, the initial credits with Deepgram were quite generous, allowing me to get a lot more usage out of it. The initial setup is very easy, especially using agentic coding tools. Review collected by and hosted on G2.com.

There was one issue where chunks were sent in the wrong order. But other than that, it has been easy to use. I think that bug was fixed. Review collected by and hosted on G2.com.

I really like how easy it is to integrate Deepgram into an existing application. The documentation is clear and the API response is very useful, especially the detailed transcription data and confidence scores. It helped me improve the reliability of my voice features without spending too much time debugging. Review collected by and hosted on G2.com.

It would be great to have more examples for advanced use cases and clearer guidance for some configuration options. Also, improving some translations across the dashboard and documentation would make the experience better for users who are not native English speakers. Review collected by and hosted on G2.com.

I find Deepgram to be an industry leader with good pricing. The initial setup was trivial for us, and compared to Azure speed services that I used at my last company, Deepgram is much easier. Review collected by and hosted on G2.com.

I'm a bit frustrated by having to research potential NAT port exhaustion issues with our AWS setup while using Deepgram. I really wish Deepgram had a colo option in USEast-1 in AWS, given how ubiquitous that particular region is for US businesses. I don't want to self-host Deepgram at our present scale, but also don't want to rely on numerous public Internet gateway hops. That's unfortunate because we are presently stuck in the middle somewhere. Review collected by and hosted on G2.com.

The best thing about Deepgram is that it lets users try the platform’s STT and other modules first using trial credits, which helps them get a fair understanding of the product before deciding to buy it. Review collected by and hosted on G2.com.

So far, I haven’t figured out any issues that I would say I disliked. Review collected by and hosted on G2.com.

Real-time transcription speed and accuracy is exceptional. I integrated Deepgram into my Windows app StreamVox for live audio translation, and the API was straightforward to set up. The documentation is clear, WebSocket streaming works reliably, and latency is low enough for real-time subtitle overlays. The Nova model handles different accents well even with background noise. Review collected by and hosted on G2.com.

The dashboard could use more detailed usage analytics and graphs. It would be helpful to see per-request breakdown and latency stats in one place. Review collected by and hosted on G2.com.

Deepgram is a developer-favorite Voice AI platform, valued for its industry-leading speed, sub-300ms real-time latency, and exceptionally accurate transcription—even when the audio is noisy. Review collected by and hosted on G2.com.

Deepgram’s specialized focus also means it doesn’t include built-in downstream LLM reasoning tools. As a result, for more complex text analysis or automation, developers typically need to chain it with external services. Review collected by and hosted on G2.com.

Deepgram has made more of an effort in Dev Outreach, showing how developers can make good use of all of the tools that Deepgram has to offer Review collected by and hosted on G2.com.

No-code is good, but an expanded Free Tier would help indie developers. Review collected by and hosted on G2.com.

We evaluated Deepgram for our medical education platform (PassBoards.ai (http://passboards.ai/)) and were impressed by the transcription accuracy with medical terminology — ophthalmology terms, drug names, anatomical structures. The API is clean and well-documented, latency is low, and their team (shoutout to Danny Kim) was responsive and genuinely helpful during our evaluation. For healthcare/medical applications where accuracy on specialized vocabulary matters, Deepgram stood out Review collected by and hosted on G2.com.

Pricing can be hard to forecast when you're scaling a startup. Would love to see more transparent volume-based tiers for small teams. Otherwise, no major complaints. Review collected by and hosted on G2.com.

The combination of Deepgram's high-accuracy transcription and its audio intelligence features is what I found most appealing. Even with conversational speaking, the Nova model produced extremely clear transcripts when I used it to process audio recordings for a personal project. Review collected by and hosted on G2.com.

Although the documentation is good, it occasionally feels a little disorganised when attempting to investigate every feature, such as intent detection or summarisation, at once. Developers could get started more quickly with better end-to-end examples for real-world use cases. Review collected by and hosted on G2.com.

Deepgram is reliable, accurate, and intuitive to use. We've never had an outage or issue with it up to this point, pricing is fair, pre-sale support was top-notch (having gone out of their way to make my request happen, which delighted me and started me off right on the "loyal footing.") Vey easy to use their API for integrating into our products and services as well. Review collected by and hosted on G2.com.

Quite frankly, there is not much to dislike so far. Review collected by and hosted on G2.com.