It’s really nice at multilingual capabilities and it’s very easy to setup and also the free 200 usd credit is really nice to start and test it out Review collected by and hosted on G2.com.

Sometimes in multilingual STT usage it transcribes to a completely different language even though the audio is clear, but this is a rare occurrence Review collected by and hosted on G2.com.

I like using Deepgram for its voice naturalness and latency, which are very important for our call center operations. The qualification process it offers is good, and I appreciate the TTX and SST features. Setting up Deepgram is very easy, much easier than other products I've used. Review collected by and hosted on G2.com.

I think the voice is a little bit robotic, and improving it would be very valuable. 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 like Deepgram's great accuracy in speech to text. It impressively handles different accents and legal terminologies. The speed at which it converts manual transcription into text is also pretty impressive, and I find the easy API integration time-saving. The setup was pretty easy and seamless, which I really appreciated. Review collected by and hosted on G2.com.

I think, occasionally, it does hallucinate at times, words are not actually it sort of tend to generate words which are not actually spoken. So I think the fact that it needs a manual to view the fact that it needs a manual to view time to time, that is a little annoying feature. 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.

Still good at the low latency, high accuracy including streaming transcriptions Review collected by and hosted on G2.com.

There are new models like Parakeet which are becoming almost as efficient and much cheaper 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.