Azure making you blue?
Innovators looking for a better Azure Speech-to-Text API alternative find it in Deepgram.
See how easy it is to switch.
All the features. Better performance. Lower cost.
Stop settling for less data because transcriptions are too slow.
With our End-to-End Deep Learning Neural Network, you can transcribe 1000 hours of audio in 8 hours — or you can spend 400 hours transcribing with Azure. And with Deepgram, you never need to sacrifice accuracy for speed.
Higher accuracy than Azure out of the box.
Our real-world tests with customers show that our base models beat azure out of the box, but for us, that’s only the beginning. Deepgram lets you customize a model to recognize your unique branded terms, industry lingo, and audio environment — giving you 90%+ accuracy within weeks.
Built for lower TCO
One of the many advantages of an End-to-End Deep Learning Neural Network is not being stuck with slow, resource-hungry legacy speech models. Instead of single streaming on CPUs, we can multi-stream on GPUs. Simply put: we’re built to be cheaper so you can go big.
