MedASR – Medical Speech-to-Text AI

MedASR is a specialized speech-to-text AI model designed specifically for medical dictation and transcription. Built on the Conformer architecture, it converts spoken medical audio into highly accurate text, even with complex clinical terminology.

Key Features:

  • Trained on 5,000+ hours of real medical dictations
  • Optimized for medical and clinical terminology
  • Conformer-based architecture for high accuracy
  • Supports mono-channel 16kHz medical audio
  • Text-only, clean transcription output
  • Works well across multiple medical specialties
  • Privacy-focused with de-identified training data
  • Can be fine-tuned for custom medical needs
  • Integrates easily with generative AI models

Who Should Use MedASR AI?

MedASR is ideal for healthcare developers, healthtech startups, hospitals, and AI researchers building voice-based medical applications. It’s especially useful for teams in the USA, UK, and Australia working on clinical documentation, radiology reporting, or digital health platforms.

Why It’s Unique?

Unlike general speech-to-text tools, MedASR is trained exclusively on medical speech, making it far more reliable for clinical use cases. It serves as a strong foundation model that can be fine-tuned for accents, environments, or expanded vocabularies. When combined with models like MedGemma, it enables powerful end-to-end healthcare AI workflows—from voice input to structured medical notes.