Medical Speech Transcription
Every consultation, captured as structured text.
Convert doctor–patient conversations into diarized, timestamped transcripts with medical vocabulary handling — ready for search, documentation, and your EHR.
POST /v1/transcriptionsSynthetic example{
"id": "tr_demo_7d2jl5",
"status": "completed",
"language": "en",
"duration_seconds": 28,
"note": "Demo mode returns a fixed synthetic transcript regardless of audio_url.",
"speakers": [
{
"id": "clinician",
"label": "Doctor"
},
{
"id": "patient",
"label": "Patient"
}
],
"segments": [
{
"speaker": "clinician",
"start": 0,
"end": 4.2,
"text": "Good afternoon. Can you describe when the symptoms started?"
},
{
"speaker": "patient",
"start": 4.6,
"end": 9.8,
"text": "The headache started yesterday evening, and I've felt nauseous since this morning."
},
{
"speaker": "clinician",
"start": 10.3,
"end": 13.9,
"text": "On a scale of one to ten, how strong is the pain right now?"
},
{
"speaker": "patient",
"start": 14.4,
"end": 18.1,
"text": "Around six. It gets worse when I look at bright light."
},
{
"speaker": "clinician",
"start": 18.7,
"end": 22.9,
"text": "Have you taken anything for it, or had a fever?"
},
{
"speaker": "patient",
"start": 23.3,
"end": 27.6,
"text": "I took ibuprofen last night. No fever that I noticed."
}
]
}Responsible use
Transcripts can contain errors. Clinicians should verify transcripts before relying on them for clinical documentation.
Capabilities
Clinical conversations, searchable and structured.
Status labels show what is in development today and what is planned.
Speech-to-text
In developmentConsultation audio converted to clean text.
Speaker diarization
In developmentClinician and patient turns labelled automatically.
Timestamped transcripts
In developmentSegment-level timing for review and navigation.
Medical vocabulary handling
In developmentDrug names, anatomy, and clinical terms.
Multilingual transcription
PlannedEnglish, Russian, Kazakh, Uzbek, and code-switching.
Real-time streaming
PlannedLive transcription during the consultation.
Workflow
How it fits your product
- Key output fields
segments[]speakerstart / endlanguage- Typical host systems
- Telemedicine platformsClinic workstationsEMR/EHR
- 1
Audio submitted
Pre-signed URL from your storage — files stay yours.
- 2
Asynchronous processing
Diarization, timestamps, and vocabulary handling.
- 3
Webhook delivered
transcription.completed with structured segments.
Demo
Explore a synthetic consultation
All examples on this site use synthetic data. No real patients, recordings, or inference requests are involved.
Evergate
Structured clinical intake draft generated for clinician review.
- chief_complaint
- —
- onset
- —
- associated
- —
- severity
- —
- aggravating
- —
- medication_taken
- —
- fever
- —
Valid JSON
No response yet.
Run the request to inspect the structured JSON response.
Responses are generated in your browser by deterministic demo rules over your request. They show the response schema — they are not results of a real inference request. Do not enter real patient data.
Compose with other modules
- AI Medical IntakeCollect complaints and history through conversational AI.
- AI-Assisted TriageStructured routing support and warning-sign detection.
- Clinical Documentation AISOAP-style drafts from conversations and intake data.
Medical Speech Transcription shares authentication, sessions and webhooks with every Evergate module.
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Evergate — Medical Intelligence Infrastructure
