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Microsoft Azure Speech-to-Text API Alternative

Azure making you blue?

Move to Deepgram, where creating great speech-to-text is our primary business. Find out how easy it is to switch.

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deepgram vs microsoft azure stt

COMPARE CAPABILITIES

All the features. Better performance. Lower cost.

Features and Capabilities
Deepgram
Microsoft Azure STT
Batch processing (1hr of audio)
3 seconds
1443 seconds
Streaming processing lag
<300 ms
N/A
Deep Search (audio)
Diarization (separate per speaker)
Up to 10
Up to 2
Audio streams processed per CPU/GPU
450 per GPU
1 per CPU
Tailored Speech Model
separate acoustic and language model training
Noise Reduction
Custom Vocabulary (keyword boosting)
Redaction
Punctuation
Profanity Filter
Numeral Formatting
Language Detection

Faster Transcriptions

Stop sampling your audio because transcriptions are too slow.

With our End-to-End Deep Learning Neural Network, 1000 hours of audio is transcribed in 8 hours vs. 400 hours for Azure and you don’t need to sacrifice accuracy for speed.

Higher Accuracy

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 we don’t stop there. Customize these base models to create over 90%+ accuracy on your specific audio within weeks.

Lower Cost

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. We’re talking 300 streams vs. Microsoft’s one. Simply put: we’re built to be cheaper so you can go big.

sitting on stacks of money

So when is Microsoft the right choice?

In the spirit of fairness, we want to say that there are times when Microsoft Azure is going to be the better choice for your needs.  If their accuracy is good enough and you don’t need faster transcription speeds then it may not be the right time to switch. Or if your company mandates you to use all Microsoft services then now may not be the time.  We will be ready when you are and continually improve our speech-to-text solution because speech technology is our expertise.

Switching to Deepgram is easy.

Fast and Easy to Implement

APIs, SDKs, and docs, Yes!

Implementing Deepgram is fast and easy with our APIs, SDKs, detailed guides, and clear documentation.  Our customers rank us excellent in implementation and support.  Go ahead. Take it for a spin and get $150 in credits.

Meet innovators who’ve made the switch.

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

Matt Drengler, Director of Partnerships, Podsights

“Deepgram engines have outperformed any of the others that we have tried or looked into. Our accuracy levels are greater than 90% on virtually everything that we do.”

Dennis Evanson, Head of Compliance and Quality Assurance, Randall-Reilly

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