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Documentation Index

Fetch the complete documentation index at: https://docs.medera.info/llms.txt

Use this file to discover all available pages before exploring further.

For workflows where the encounter audio is recorded first and processed later (after-hours batch, video uploads), use the async pipeline.

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1. Upload the recording

curl -X POST https://api.medera.ai/api/sessions/{id}/recordings \
  -H "Authorization: Bearer $TOKEN" \
  -F "audio=@encounter.wav"
Limits: 60 minutes per recording, 150 MB max, 16 kHz PCM or 22.05 kHz Opus.

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2. Trigger the transcript

curl -X POST https://api.medera.ai/api/sessions/{id}/transcripts \
  -H "Authorization: Bearer $TOKEN" \
  -d '{ "diarization": true, "language": "en-US" }'
Returns a transcript_id and a status of processing.

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3. Poll for completion

curl https://api.medera.ai/api/sessions/{id}/transcripts/{transcript_id}/status \
  -H "Authorization: Bearer $TOKEN"
Status transitions: processing → completed | failed.

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4. Generate the document

curl -X POST https://api.medera.ai/api/textgen/documents \
  -H "Authorization: Bearer $TOKEN" \
  -d '{
    "template_key": "soap_outpatient_bh",
    "session_id": "ses_abc",
    "transcript_id": "tx_xyz"
  }'
Returns a draft note ready for clinician review.
  • Overnight batches of telehealth recordings
  • Post-visit document regeneration with updated templates
  • Episode-level discharge summary generation