MODEL OVERVIEW
AI Speech Models Yield Better Outcomes
Previous generations of automatic speech recognition models “Frankenstein” multiple frameworks together that are inefficient to optimize and customize for your needs. Only AI — specifically End-to-End Deep Learning (E2EDL) enabled speech models — can quickly improve accuracy and be customized for your use case.
Yes, you can have your cake and eat it, too.
The proprietary architecture of our end-to-end deep learning speech models allows Deepgram to provide high accuracy, fast speed, and maximum scalability at an affordable cost.
Try it Free.
ACCURACY
90%+
Get actually usable transcripts at top accuracy levels
SPEED
120X Faster
Process 1 hour of audio in 30 seconds or less
SCALE
Optimized Throughput
Process thousands of real-time calls concurrently
COST
Half the Cost
Actually pay less for more accuracy and greater speed
What is a Speech Model?
Deepgram’s AI speech models are deep neural networks built upon a proprietary architecture to maximize accuracy, speed, scalability, and efficiency. Combine a language and use case type to create a base model that’s more accurate than big tech’s “enhanced” models right out of the box.
E2EDL Advantage
Deepgram is constantly improving our model architectures and training techniques to ensure you get maximum accuracy and efficiency. We do this by continually labeling data and performing model training on our End-to-End Deep Learning Neural Network. The result? A model endpoint that you can deploy on-prem or in the cloud quickly and reliably at scale.
