The Most Accurate Medical Speech-to-text API

Build highly accurate, customizable, and secure healthcare voice applications with Nova-3 Medical–the industry-leading speech-to-text API designed specifically for clinical environments.

The medical transcription API developers deserve and trust

Build clinical voice applications that capture medical terminology correctly the first time with Nova-3 Medical, eliminating transcription errors that lead to administrative burden and lost revenue.

Superior accuracy

Deliver reliable transcription across multiple devices in healthcare settings, capturing specialized medical terms, acronyms, and clinical jargon with precision.

Customizable

Fine-tune the model for various medical specialties and unique workflows without extensive retraining, using Keyterm Prompting to boost accuracy for up to 100 key terms.

Enterprise Security

Maintain stringent HIPAA compliance with versatile deployment options, including on-premises and VPC configurations—and built-in security features to safeguard sensitive patient data.

High accuracy on medical terminology

  • Deepgram's Nova-3 Medical model is built to handle common healthcare terminology (including symptoms, diagnoses, treatments, medications, and clinical jargon), surpassing all competitors in speed, accuracy, and cost.

  • We offer maximum controllability with versatile options for managed or self-hosted deployments in the cloud and on-prem as well as enterprise-grade security in our models and infrastructure to ensure HIPAA compliance.

Clincial transcripts you can trust

  • Built-in support for speaker labels (diarization) and word timings enhance readability and streamlining workflows.

  • Smart formatting features include automatic punctuation and paragraphs, contextualized entities, alphanumerics, proper noun handling, and more.

Real-time, actionable insights

  • Real-time streaming transcription, long audio file handling, and up to 40x faster transcription creation of pre-recorded audio than alternatives.

  • Voice AI models that can create accurate summaries and identify speaker sentiment, topics and intent enable enhanced analytics and workflow automation.

Benchmark-backed performance

Deepgram's Nova-3 Medical Model leads the market in medical transcription accuracy, outperforming leading alternatives by 63.7% on average. See the benchmarks

Figure: Median file word error rate (WER) for pre-recorded English transcription across all benchmarked medical domain test sets.

Intelligent Voice Agents Powered by Nova-3 Medical

In this demo, Nova-3 Medical enables intelligent voice agents to accurately understand complex clinical terminology, process medication orders, and document patient encounters with precision, transforming healthcare workflows in real-time.

Deepgram's speech-to-text has been far and away the best we've seen for medical transcription accuracy. Plus their approach makes it easy to add in new, uncommon words outside of their training domain.
We have been using the Nova-2 medical model for the last months, and have had a very positive experience. Having medical speech recognition with good accuracy makes a significant difference in the notes that doctors create using our AI Scribe. We are impressed with its ability to recognize medical terms and the blazing processing speed of our audio files.

In Healthcare, Every Word Matters

See how Nova-3 Medical can transform your healthcare applications with transcription that gets medical terminology right, the first time, every time.