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.
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.