Deepgram is highly recommended. Users don’t need to do anything special before using it, as the documentation is comprehensive. I am a Node.js developer and have used Deepgram packages for Node.js. Understanding your programming language is key, whether it's Node.js, Python, or others. AI Features: I have integrated various AI models into our application. Deepgram's sentiment analysis feature allows us to create graphs and analyses to determine if words are positive, negative, or neutral. This helps us summarize feedback and derive actionable insights. My ratings: I would rate it an eight out of ten. The live transcription feature needs improvement as the WebSocket sometimes gives errors or breaks down during live streams.
I have used Deepgram with Twilio for the calling system. I would recommend Deepgram to users who want to use it for speech-to-text purposes. Overall, I rate the solution an eight out of ten.
We're a Deepgram customer. We use Deepgram for speech-to-text. There are different models you can use in order to do that. We have a custom model and we have also tested out some of their other models as well. We're really happy with it. Technology in this space is constantly changing, and we see what's happening with ChatGPT, for example. Everyone uses different kinds of platforms for transcription. Deepgram also has a lot of other solutions we're not using, and it supports other languages, which is not how we're using it. However, it will likely continue to improve itself and align with all of the advances in the space. Deepgram has been really great for our use case. I interact with Deepgram's team and the team internally that has implemented it. I don't have hands-on experience with it myself. I continue to review the quality of the transcripts, which is what we're using it for. That said, my understanding is that the ease of use would depend on your experience and your skill level. It is in line with everything else out there. I'd recommend the solution to others. I'd rate it nine out of ten. We evaluated and compared different solutions based on the quality of speech-to-text and implementation. For quality, Deepgram definitely came out above everything else. The implementation also went well. Support has been good - not that we've needed it too often. Compared to what we had before, which wasn't a technological solution, the difference is night and day. The other automated transcription services we've looked at in the past few years just weren't good enough. Deepgram really offers great quality.
I chose to use Deepgram after researching it on Google and finding some good feedback that the solution had good APIs. It's easy for a new user to learn to use the solution. I would not recommend Deepgram to other users because it does not properly identify video communication. If you compare it with the other APIs, you can easily find that they do not properly identify some words, exclamatory signs, full stops, etc. These are small mistakes the tool is not properly identifying. Also, the solution does not properly identify the speakers. Users should check other APIs before choosing Deepgram. Overall, I rate the solution a six out of ten.
Deepgram's voice AI platform provides APIs for speech-to-text, text-to-speech, and language understanding. From medical transcription to autonomous agents, Deepgram is the go-to choice for developers of voice AI experiences.
Deepgram is highly recommended. Users don’t need to do anything special before using it, as the documentation is comprehensive. I am a Node.js developer and have used Deepgram packages for Node.js. Understanding your programming language is key, whether it's Node.js, Python, or others. AI Features: I have integrated various AI models into our application. Deepgram's sentiment analysis feature allows us to create graphs and analyses to determine if words are positive, negative, or neutral. This helps us summarize feedback and derive actionable insights. My ratings: I would rate it an eight out of ten. The live transcription feature needs improvement as the WebSocket sometimes gives errors or breaks down during live streams.
I have used Deepgram with Twilio for the calling system. I would recommend Deepgram to users who want to use it for speech-to-text purposes. Overall, I rate the solution an eight out of ten.
We're a Deepgram customer. We use Deepgram for speech-to-text. There are different models you can use in order to do that. We have a custom model and we have also tested out some of their other models as well. We're really happy with it. Technology in this space is constantly changing, and we see what's happening with ChatGPT, for example. Everyone uses different kinds of platforms for transcription. Deepgram also has a lot of other solutions we're not using, and it supports other languages, which is not how we're using it. However, it will likely continue to improve itself and align with all of the advances in the space. Deepgram has been really great for our use case. I interact with Deepgram's team and the team internally that has implemented it. I don't have hands-on experience with it myself. I continue to review the quality of the transcripts, which is what we're using it for. That said, my understanding is that the ease of use would depend on your experience and your skill level. It is in line with everything else out there. I'd recommend the solution to others. I'd rate it nine out of ten. We evaluated and compared different solutions based on the quality of speech-to-text and implementation. For quality, Deepgram definitely came out above everything else. The implementation also went well. Support has been good - not that we've needed it too often. Compared to what we had before, which wasn't a technological solution, the difference is night and day. The other automated transcription services we've looked at in the past few years just weren't good enough. Deepgram really offers great quality.
I chose to use Deepgram after researching it on Google and finding some good feedback that the solution had good APIs. It's easy for a new user to learn to use the solution. I would not recommend Deepgram to other users because it does not properly identify video communication. If you compare it with the other APIs, you can easily find that they do not properly identify some words, exclamatory signs, full stops, etc. These are small mistakes the tool is not properly identifying. Also, the solution does not properly identify the speakers. Users should check other APIs before choosing Deepgram. Overall, I rate the solution a six out of ten.