One scribe, every language the room speaks.
Mozhi listens to multi-speaker consultations, live or already recorded, recognises Tamil, Hindi, Urdu and English in the same conversation, and turns it into a structured note.
Captures the multi-speaker, multi-language audio
Speech becomes a translated, speaker-tagged note
Clinician edits and signs off before it's final
Transcript
Structured Clinical Note
Subjective
No entries yet
Objective
Assessment
No entries yet
Plan
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Designed for complex multilingual consultations
Speaker-aware
Differentiates between doctor, patient, and family members automatically.
Code-switch aware
Seamlessly handles natural language switching mid-sentence between English, Tamil, Hindi, and Urdu.
Live or recorded
Supports real-time ambient listening during consultations or uploaded audio files.
Structured SOAP output
Extracts key clinical detail into standardized Subjective, Objective, Assessment, and Plan fields.
Nothing final without review
AI drafts candidate notes while clinician verifies and approves.
Designed for PHI-sensitive flows
Architected for clinical workflows requiring strict privacy and data handling guardrails.