Deepgram Reviews & Product Details

I use Deepgram to convert spoken audio into highly accurate, real-time text transcripts. I love that Deepgram provides ultra-low latency and developer-friendly APIs, making it incredibly easy to integrate high-accuracy, real-time transcription into modern tech stacks. The value of Deepgram lies in how it minimizes the 'friction' between capturing audio and generating usable data. Its ultra-fast, real-time speech-to-text capability handles noisy audio and diverse accents with ease. For high-stakes or interactive applications, the specific features of latency and API design change the entire development experience. Modern SDKs also make setup simple, like using the Node.js SDK which is very clean and straightforward. Review collected by and hosted on G2.com.

While Deepgram is highly efficient, its accuracy can sometimes dip with very heavy background noise or highly specialized technical jargon without custom model tuning. Review collected by and hosted on G2.com.

I like that Deepgram provides free and user-friendly APIs, which are essential for building my English learning app. The high-quality STT and TTS features they offer are really helpful, as they allow the app to support both audio and video understanding as well as user interaction with AI agents. The initial setup was also very easy, thanks to well-designed documentation, making it straightforward to get started. Review collected by and hosted on G2.com.

I think Deepgram could offer some high-level abstraction or SDKs to make it easier to deploy to different platforms. It would be helpful to have tools that wrap the STT and TTS for easier integration into our apps and across different frameworks. Review collected by and hosted on G2.com.

Deepgram provides TTS and STT all at a place, the transcription works pretty well, With high accuracy. Api documentation is sok good it's easier to integrate Deepgram in the voice agents. Review collected by and hosted on G2.com.

Pricing can get expensive at scale, While it's TTS is strongest part of it, STT is on the weaker side as it doesn't have many languages support so you might wanna integrate other TTS software to it Review collected by and hosted on G2.com.

I really like how Deepgram is significantly cheaper than competing providers. The diarization works well, which I appreciate. I find that Claude Code and Codex can easily use the API, making it a seamless experience. It's fast, and I was able to start processing a large amount of audio within minutes, which was great for my time-sensitive project. The accuracy is excellent, making Deepgram my preferred provider. The initial setup with my agent in Claude Code was super easy, and it handled everything quickly. The API access has made transcribing tons of stuff much faster, more easily, and more cheaply compared to the manual and piecemeal approach we used before with Otter. Review collected by and hosted on G2.com.

I have not had any issues. Review collected by and hosted on G2.com.

I use Deepgram to build voice-enabled features in applications, and I appreciate the speed, accuracy, and real-time usability of its speech-to-text API, which converts audio into text in real-time. I really enjoyed the rich output features that provide ready-to-use data. The combination of speed, accuracy, real-time usability, and rich output makes Deepgram valuable in practice. The setup was very easy, and the APIs didn’t take much time to implement into applications, allowing me to connect it with other tools, systems, and sometimes mobile apps. Overall, Deepgram worked very well for me from the start. Review collected by and hosted on G2.com.

nothing for dislike about deepgram Review collected by and hosted on G2.com.

I like Deepgram for its speed at transcribing audio. Although I feel it could be a bit more efficient, it does the work right now. I also appreciate Deepgram's thorough documentation and customization options, which made the initial setup quite easy. Once set up, it works flawlessly. I found Deepgram to be much more efficient than AssemblyAI, and that efficiency was a key factor in my switch. Review collected by and hosted on G2.com.

I think the speed can be improved. But, I'm not yet sure because I haven't compared it with many other tools. I did compare it with some tools and Deepgram performed well. But I wish the speed was somewhat more faster than it is. Review collected by and hosted on G2.com.

I use Deepgram for STT services and I felt it has so much accuracy, which is really important for transcription. I like its well-documented structure and models. The API docs are particularly helpful for understanding and setting up the plan. It also helps to know which model has what capabilities, thanks to the Deepgram dashboard and playground for testing models and services. The initial setup was good and all credit goes to the documentation. Review collected by and hosted on G2.com.

I felt a little bit of issue with the TTS service, as it felt more stuck sometimes instead of better transcribing. I think the TTS service can be improved by making its latency better and adding sentiments. Review collected by and hosted on G2.com.

I mainly use Deepgram to turn audio into text for calls, meetings, and recordings. It makes it really easy to quickly get transcripts without doing everything manually. What I like most is how fast and accurate it is. I also like how easy it is to integrate and start using. It saves a lot of time because I didn't have to deal with a complicated setup. We were using another transcription tool before, but it wasn't as fast or flexible. Review collected by and hosted on G2.com.

Sometimes the accuracy can drop a bit with noisy audio or strong accents. It would help if the model handled background noise a bit better. Review collected by and hosted on G2.com.

I use Deepgram for their text-to-speech and speech-to-text translation, which I find very helpful for an app I am building. It solves the issue of low latency, providing good translation for voice-to-text tasks. I think the back-end technology is the best out there. The low latency of the speech-to-text translation is phenomenal. The initial setup was very easy, though I am also technical. Review collected by and hosted on G2.com.

I think Deepgram has the opportunity to have better options for integrations to existing platforms. Having easy single-click integrations to things like Salesforce or Slack would be beneficial. Also, I think there should be a UI for a drag and drop workflow to build your own voice agent, similar to what retail AI does. Review collected by and hosted on G2.com.

I use Deepgram to transcribe our transcripts and diarize the participants correctly. It correctly identifies who is saying what and when they are saying it and is able to transcribe the entire audio. I find Deepgram to be cheap, quick, and reliable. The API is amazing; I can easily set up an API key and use it on my website. The initial setup was very easy. I switched from OpenAI Whisper to Deepgram because it is much better, faster, and can figure out who said what. Review collected by and hosted on G2.com.

Sometimes it gets the diarize wrong (i.e., who said what) but it is not frequent. I think it's just being able to identify same gender voices sometimes. Review collected by and hosted on G2.com.