Start the transcription process for the uploaded audio files. This endpoint is called after uploading any audio files in S3 bucket for transcription and processing.
| Template ID | Description | Use Case |
|---|---|---|
clinical_notes_template | Comprehensive clinical notes with structured medical information | General clinical documentation, patient consultations |
eka_emr_template | EMR-compatible format for electronic medical records | Integration with EMR systems |
transcript_template | Basic transcription with minimal structuring | Simple audio-to-text conversion |
| Model Type | Description |
|---|---|
| pro | Our most accurate model |
| lite | More performant model for lower latency |
input_language parameter:
| Language ID | Language Name |
|---|---|
en-IN | English (India) |
en-US | English (United States) |
hi | Hindi |
gu | Gujarati |
kn | Kannada |
ml | Malayalam |
ta | Tamil |
te | Telugu |
bn | Bengali |
mr | Marathi |
pa | Punjabi |
or | Oriya |
output_language parameter.
| Language ID | Language Name |
|---|---|
en-IN | English (India) |
en-US | English (United States) |
hi | Hindi |
gu | Gujarati |
kn | Kannada |
ml | Malayalam |
ta | Tamil |
te | Telugu |
bn | Bengali |
mr | Marathi |
pa | Punjabi |
or | Oriya |
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Unique Transaction ID - same as passed in presigned URL request
"test_1234"
Processing mode
dictation, consultation "dictation"
Transfer mode use vaded for pre-processed audio with Voice Activity Detection, non-vaded for raw audio files
non-vaded, vaded "non-vaded"
Complete S3 URL path where audio files are uploaded. This is constructed by combining:
presigned_url["uploadData"]["url"]presigned_url["folderPath"]Construction: presigned_url["uploadData"]["url"] + presigned_url["folderPath"]
"https://m-prod-ekascribe-batch.s3.amazonaws.com/EC_173210496011417/txn_301/20250617_105524/"
Array of audio file names that were uploaded to S3
["audio_first.m4a", "audio_second.m4a"]Type of model to be used for transcription
pro, lite "pro"
Contextual information for the transaction
{
"doctor": {
"_id": "174097180967921",
"profile": {
"personal": { "name": { "f": "Divyesh", "l": "" } }
}
},
"patient": {},
"visitid": "09e4f00f-d665-4212-b77c-b2dd5f22bd92_1742560488782"
}Array of supported input languages for voice transcription
en-IN, en-US, hi, gu, kn, ml, ta, te, bn, mr, pa, or ["en-IN"]Output language for the transcription result
en-IN, en-US, hi, gu, kn, ml, ta, te, bn, mr, pa, or "en-IN"
Medical speciality context for better transcription accuracy
"general_medicine"
Array of template configurations for output format
[
{
"template_id": "eka_emr_template",
"codification_needed": false
}
]