Deepgram Reviews & Product Details

I love that Deepgram captures the audio and video, transcribing them with such accuracy. It’s worked great for transcribing client meetings and internal discussions. With the features to store and share transcriptions with platforms such as Google Drive, it’s easy to integrate with. If you attend live meetings or events the best part is the ability to transcribe in real time. Moreover, the AI itself gets better, so each transcription gets better and better as time progresses. Review collected by and hosted on G2.com.

One thing I’ve found annoying in Deepgram is that sometimes background noise causes problems with the transcription. Essentially the system works fine, but sometimes when a long transcription job goes a little long the system will lag. I wish I could also customize more to get the outputs how I would like them. They work well, but they still miss context at times, especially with technical or domain specific words and you still need to edit them. Review collected by and hosted on G2.com.

Comparison with Amazon Transcribe:

We started with Amazon (AWS) Transcribe thinking it must be the best. After spending a lot of money (it is many fold more expnsive than Deepgram), patience (its inferior in quality) and time, we gave up.

Running whisper on an AWS machine:

We decided to run Whisper on an Amazon machine. Afterall Whisper is free and we would only pay for compute. The quality was definitely better. But we soon realized that with T@ large ($500/month) we were experiencing very high latency during peak hours of the day and we were still paying for the idle compute at remaining hours.

Switch to Deepgram:

After switching to Deepgram we found out that not only they are high quality, they are faster (latency of less than a minute for audio files upto an hour) , cheaper (no need for idle compute, only pay per use), and same quality as whisper with one of their models we chose called Nova (they also offer two other models including Whisper and one more).

Now we are exploring their real time transcription, LLM for real time analysis of streams, and also infrastructure needed to develop voice bots.

I highly recommend Deepgram to anyone! Review collected by and hosted on G2.com.

Nothing so far that we found. We have been completely happy with the service. Review collected by and hosted on G2.com.

With their speech recognition Deepgram is incredibly fast and incredibly accurate, making listening to meeting and call transcriptions much easier. I also like that it integrates very smoothly with Slack and Zoom giving easy access to transcriptions right inside the app. This ability to work with many different accents and dialects is critical to our diverse team. Furthermore, the simple setup and easy to use API lends itself to customization of the software into answering precisely our workflow needs. Review collected by and hosted on G2.com.

The only flaw I saw with Deepgram as it misinterprets an audio with lots of background noise. It does well on quiet environments but the transcription quality falls when there is noise interference. And it sometimes misunderstands technical parlance, which I have to correct by default. It’s not all bad though, it would simply be nice for customer support to be a little quicker because sometimes they take a while to respond to more complex questions. Review collected by and hosted on G2.com.

Deepgram provides a high quality transcription from audio recordings that we can count on to use in our system as well as for our enterprise clients. We've been using the transcription service for several months and it has worked consistently and reliably over that time. Review collected by and hosted on G2.com.

Deepgram has worked really well and our team really can't point to a dislike yet, despite using it for several months in a production capacity. Review collected by and hosted on G2.com.

We’ve been using Deepgram for our speech-to-text needs at SpeakX.ai, and we’re extremely satisfied with its performance. Whether it’s for real-time audio transcription or file-based audio transcription, Deepgram consistently delivers accurate and fast results, making it an essential part of our toolkit.

The pricing is also very competitive, offering great value for the quality of service provided. It’s refreshing to find a service that meets our high standards without breaking the bank. We’re excited to see what else we can build with Deepgram in the future as we continue to innovate and expand our offerings. Review collected by and hosted on G2.com.

While we’re generally pleased with Deepgram’s performance, we’ve experienced some intermittent API failures, though these are rare. Additionally, we’ve noticed inconsistent expiry times for API keys, which can be a bit inconvenient. Review collected by and hosted on G2.com.

Deepgram offers incredibly fast multi-channel TTS services, which are perfect for handling multiple audio streams efficiently.

The support for around 30 languages makes it versatile for global applications.

Additionally, the audio intelligence feature for intent detection is super useful, providing valuable insights that enhance the accuracy and depth of our transcriptions. Integration is seamless, and the performance is consistently reliable. Review collected by and hosted on G2.com.

The service can be a bit pricey for startups with tight budgets, especially if usage scales quickly. Review collected by and hosted on G2.com.

Deepgram has never stopped even after going leaps and bounds on the ASR side. They have shown stronger commitment with their latest TTS system called Aura which actually helps customers to stick to one company for both ASR and TTS. this is actually very helpful. They have lots of good documentation and this helps the developer community to get a quick start on their solutions. Ease of implementation starts with good documentation. Deepgram APIs and their simplistic approach towards the APIs even tho they are building complicated models to get state of the art Voice models actually makes it easy to use . Review collected by and hosted on G2.com.

Their models and APIs are yet to give full feature of sentiment and emotion detections in real time speech. as of now its restricted to detecting and predicting emotions for offline audio files where as it will be more useful for real time scenarios. hope that feature comes soon. Review collected by and hosted on G2.com.

I especially like how the use of Deepgram brings out the transcription accuracy aspect. It does record even the most detailed interactions and this means our customer relations are much better. There are many useful features on it, such as real time processing and the language it supports. Moreover, their customer support helps us sort out any problems that we may come across. All in all, I can conclude that Deepgram has greatly benefited our work process and increased productivity. Review collected by and hosted on G2.com.

The main disadvantage of the Deepgram is that it has issues with transcriptions that contain the accent and can lead to misunderstandings in customer support. This results in time delay in the issue resolution processes and procedures. Also, the implementation was to some extent difficult and required more technical knowledge, which at first hindered our progress. Although these could be considered minor problems, they have once in a while impacted our efficiency. Review collected by and hosted on G2.com.

I have been using for 2+ years. Their product is very good and they are always coming out with improvements. We build video and audio accessibility products so having a good transcript / srt file is imperative. The support and sales people are very responsive and helpful. The pricing is very competitive and they have great programs for startup organizations. The integration points are well documented and the customer dashboard is easy to understand. We can quickly try out new options with little programming. Review collected by and hosted on G2.com.

There isn't much that I don't like about Deepgram. Some of their models don't fit my use case, but I don't have to use them. I think they are very fair and helpful Review collected by and hosted on G2.com.

Generally, most 3rd party APIs are either just ok or they suck. Deepgram is one of the few along with maybe Stripe that genuinely feel like they wrote their documentation with actual devs in mind, covering everything from use cases to the inner workings of their classes. Very easy to implement and get started with for how complex transcription can be, and it still feels like a cheat code for it to be this fast and affordable. Review collected by and hosted on G2.com.

Nothing, which is rare. My only wish is that it was easier to work with live audio data in a more declarative way. Additionally, I think they need more documentation around system design, e.g. building with Deepgram in a scaleable way with websockets, cloud services, etc. Review collected by and hosted on G2.com.