AI speech transcription models to fit your use case

When it comes to your customer base, a generic one-size-fits-all speech recognition model isn’t going to cut it. Deepgram provides the most accurate speech models tailored to a variety of use cases to suit your needs.

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Base

When scalability is paramount

Base models are built on our signature end-to-end deep learning speech model architecture and offer a solid combination of accuracy and cost-effectiveness.

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Enhanced

For the best out-of-the-box accuracy

Enhanced models (like Nova) have higher accuracy with better word recognition than our Base models and handle uncommon words significantly better.

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Trained

For optimal word accuracy

Unlike custom vocabularies, custom training changes the speech model parameters so 1000s of keywords and phrases can be part of the speech model.

Use case models for speech recognition

Our end-to-end deep learning architecture and AutoML training allows Deepgram to create highly accurate, use-case specific speech recognition models. Pair the right model tier with your use case need for unparalleled accuracy on your audio.

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General

Optimized for everyday audio processing. Generally, more accurate than any region-specific Base model for the language for which it is enabled. If you aren’t sure which model to select, start here.

• Base ⭐️
• Enhanced ✨
• Trained 💫

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