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.