What do users say?

I use Deepgram for both speech-to-text (STT) and text-to-speech (TTS) in AI applications and workflow automation. It provides accurate transcription across multiple languages and produces natural-sounding speech with low latency, making it suitable for real-time and batch processing. The biggest advantage has been its language support and output quality. The transcription accuracy is consistently high, including for accents and multilingual content, and the TTS voices sound clear and natural. The API is straightforward to integrate, the documentation is well organized, and the response times are fast. Overall, Deepgram has been a reliable solution for building voice-enabled applications and automating audio processing tasks. The initial setup is also very easy. Review collected by and hosted on G2.com.

Deepgram performs very well overall, though there are a few areas that could be improved. I would like to see broader language and dialect support, particularly for less commonly used languages and regional accents. The TTS voice selection could be expanded with more natural and expressive voices across additional languages. Pricing for high-volume usage could also be more competitive, especially for developers building large-scale AI applications. More built-in features for speaker diarization, custom pronunciation, and voice customisation would make the platform even more versatile. Review collected by and hosted on G2.com.

I use Deepgram for cheap transcription, and the accuracy is at a decent enough level most of the time. I like the easy-to-use portal, especially how I can track API key usage and spending. The playground tool is also helpful for processing one-off audio recordings, and I've used this 4 or 5 times. The initial setup was good, and I believe I could sign in with Google. Review collected by and hosted on G2.com.

I think they do a lot with grants for bigger businesses, but it would be good to see more funding for SME businesses. Like with our SaaS product, if we had been offered say £1000 in credit, we would probably have used that to perfect our product and then had more customers and volume to put through Deepgram after the trial. Also, accuracy could do with a tweak in some areas, as it gets a lot of standard English names wrong. Review collected by and hosted on G2.com.

I like that Deepgram is very reasonably priced because you pay as you go and it's not a subscription model. It also has nice guardrails to prevent over purchasing or getting overcharged. Deepgram is highly responsive and very accurate in transcription and detection. I really appreciate that the live transcript delay is minimal, allowing me to follow along conversations easily. Setting it up was a breeze; creating an API and plugin was very easy. It also works really well with the apps I use for AI to plug in for live transcript. Deepgram is far faster and more accurate compared to the native transcription tools I've used in other AI programs. The amount of transcription I can do for the price is very competitive. I was very impressed with how super easy it was to set up using the secure API; it took literally minutes. Review collected by and hosted on G2.com.

No issues from my perspective, considering how well Deepgram works and how portable it is. Review collected by and hosted on G2.com.

I find Deepgram to be incredibly valuable, especially due to the transcription speed combined with its accuracy. It performs well even with accents, background noise, or overlapping speakers, which is crucial for AI services like Wirevox AI that we run. The real-time latency is noticeably better than a lot of competitors. The voice quality offered by Deepgram is outstanding and not many services offer such high quality. We also use their speech-to-text and text-to-speech models alongside different LLMs, integrations, and tools, and it's been seamless. The initial setup was incredibly easy, and though help was offered by Deepgram's team, the detailed documentation meant we didn't actually need it. Our users love Deepgram, as it offers better accuracy, latency, and cost efficiency at scale compared to what we used before. Review collected by and hosted on G2.com.

We would really love to have more French accent/language voices. As of right now, the only available French voices are Agathe and Hector, which aren't bad at all. They are amazing, but our users would really love more options to choose from. Review collected by and hosted on G2.com.

reliable about the promise and delivery, and has API so I can connect to my AI pipeline. Review collected by and hosted on G2.com.

When I upload previously recorded audio to transcribe, it goes really badly. I get a wait/exit pop-up every time, and I couldn’t finish my work. I also don’t know whether it burned tokens or not. Anyway.

Also, when I try to switch the transcription result to JSON, it bugs everything out as well. Review collected by and hosted on G2.com.

Ease of integration and UI/UX flow and feel. Review collected by and hosted on G2.com.

There isn't much to complain about, but a couple of areas could be improved. The documentation could use more real-world examples for less common use cases, and it would be great to see more granular usage/cost breakdowns in the dashboard for larger projects. Occasionally we've run into minor accuracy dips with heavily accented or noisy audio, though overall performance is strong. Review collected by and hosted on G2.com.

We are using Deepgram for real-time speech-to-text in our AI applications, and it has been fast and reliable. The transcription quality is good, the streaming API works well, and integration was straightforward. It also supports different audio formats and multiple languages, which makes it suitable for different use cases. Review collected by and hosted on G2.com.

I would like to see more examples pertaining to building Voice agents so easily and also introducing agentic coding to build with their APIs. Review collected by and hosted on G2.com.

The pricing of similar APIS like grok voice have become more competitive. While Deepgram is hardly a significant cost for us so we will be staying as we LOVE the DX and speed of their API. The new skills are also very good. Review collected by and hosted on G2.com.

It would be nice to see some stats on keywords/keyterms that were used. It could get smarter over time based on our past inputs of technical words and corrections Review collected by and hosted on G2.com.

The flexibility of the staff and the offerings. The API integration for several features is easy to implement across various codebases, and the AI is on the better end of the spectrum while keeping costs low allowing a better ROI. Review collected by and hosted on G2.com.

The UI is a little difficult to use - especially if you're trying to embed their AI service into your own application instead of using their AI Agentic experience. The support is great - as long as you can figure out how to get to them. Finding how to connect to the correct person for assistance is rather difficult and not obvious in the UI. Review collected by and hosted on G2.com.

I appreciate Deepgram for its high percentage operation on the transcript. It gives me more accurate transcription, which my users enjoy, and it helps me have more accurate questions and follow-up questions. The accuracy of Deepgram is above 90% or even above 95%, which is a significant improvement over the Google speech to text service I used before, which was around 80%. The initial setup was super easy, which made adopting it a breeze. Review collected by and hosted on G2.com.

I find the transcription of individual names inaccurate. I think it would be amazing if Deepgram could improve this accuracy and identify names instead of using generic labels like speaker one or speaker two. Review collected by and hosted on G2.com.