
I use Deepgram for the STT and TTS engine in my Goddo project, an AI buddy for kids, and I really appreciate its excellent latency. The STT transcription is very fast and quickly pushes to the LLM to generate a response, which is crucial for maintaining the kids’ interest. The voices in the TTS are decent and expressive. The $200 credit has been awesome since I haven't spent a single dollar on the Deepgram API so far, allowing me to test it heavily without worrying about the budget. Deepgram is better for my budget compared to other real-time APIs like Cartesia and Rime, which are too expensive. The per-minute cost will be affordable even after the credits are gone. The main things I like about Deepgram are the generous $200 credit and the decent latency, which is fast enough for kids who lack patience. The documentation is very clean and clear, making the setup straightforward. Review collected by and hosted on G2.com.
I think multilingual support is a big problem. The STT does a very good job in transcribing different languages and it's as quick as just English, so the multilingual part is good for STT. However, for TTS, it's a big problem. That is where I end up using Gemini Live Audio because that same voice can do different languages while maintaining the accent and pronunciation. That is definitely something that's missing from Deepgram. Review collected by and hosted on G2.com.


