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.

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All the features. Better performance. Lower cost.

Features and Capabilities
Microsoft STT
Microsoft Azure
Batch process (1hr of audio)
~8 seconds
1440 seconds
Streaming processing lag
<300 ms
Deep Search (audio)
Diarization (separate per speaker)
Up to 10
Up to 2
Audio streams
Tailored speech models
Separate acoustic and language model training
Noise Reduction
Custom Vocabulary (keyword boosting)
Profanity Filter
Numeral Formatting
Language Detection

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.

Switching to Deepgram is easy.

APIs, SDKs, and docs? Why, yes we do!

We’ve made switching to Deepgram easy with APIs, detailed guides, and clear documentation. Go ahead. Take it for a spin with $200 in free credits, no credit card required.

Get a Free API Key

With Deepgram’s accurate and fast speech-to-text solution, we’re the Google Analytics of podcasts.

Matthew Drengler

Matthew Drengler

Director of Partnerships, Podsights at Spotify

View the case study

Not seeing big benefits from Big Tech?

Give Deepgram a try with $200 in free credits.

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