Build smarter AI scribes with the #1 medical Speech to Text API
Automate clinical note taking and transcribing doctor-patient dialogues into Electronic Health Records affordably and efficiently with the industry-leading Nova-2 medical model. Purpose-built speech-to-text for healthcare applications, from ambient scribes to real-time healthcare bots.
Create medical transcription solutions clinicians deserve and trust
Fast and accurate
Generate clinical notes at scale with fast and accurate speech-to-text that's fine-tuned to capture specific medical terms and jargon.
HIPAA compliant
HIPAA-compliant transcription and self-hosted, on-prem deployment protects patient privacy and ensures compliance with PHI regulations.
Workflow automation
Streamline workflows and reduce administrative overhead to allow providers to focus on what matters most for their patients.
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.
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.
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.
What users are saying
Ready to Scale Your Healthcare Apps?
Integrate Deepgram's speech-to-text capabilities into your healthcare apps, from AI scribes to voice bots. Fill out the form to learn how our leading voice AI can scale your products.