i mostly used the STT (speech to text) with nova 3 and the best part is that it supports words recognization and speaker diarization and it also have a very good price offering comparatively
easy to integrate and change the parametes
quick support whenever required
and the performace it is very much statisfied
overall it is very good platform for STT and TTS
also it forms a user friendly portal to test out the api without putting any efforts in integaration.
DS
DrVivekTrivedi34 S.
M.B.B.S. | M.D. Anatomy | AI/ML Engineer in Training (IIT Mandi) & Senior Resident MD, Anatomy | Bridging Clinical Research & AI | Python | Clinical Trial Experience | Healthcare AI | AI Engineer
I use Deepgram for both speech-to-text (STT) and text-to-speech (TTS) in AI applications and workflow automation. It provides accurate transcription across multiple languages and produces natural-sounding speech with low latency, making it suitable for real-time and batch processing. The biggest advantage has been its language support and output quality. The transcription accuracy is consistently high, including for accents and multilingual content, and the TTS voices sound clear and natural. The API is straightforward to integrate, the documentation is well organized, and the response times are fast. Overall, Deepgram has been a reliable solution for building voice-enabled applications and automating audio processing tasks. The initial setup is also very easy.
Deepgram provides an AI-powered speech recognition platform designed for developers, enabling businesses to transcribe and analyze audio with high accuracy and speed.