API Documentation
Live endpoints
Pre-recorded endpoints
{
"session_id": "4a39145c-2844-4557-8f34-34883f7be7d9",
"created_at": "2021-09-01T12:00:00.123Z",
"type": "post_final_transcript",
"data": {
"metadata": {
"audio_duration": 3600,
"number_of_distinct_channels": 1,
"billing_time": 3600,
"transcription_time": 20
},
"transcription": {
"full_transcript": "<string>",
"languages": [
"en"
],
"utterances": [
{
"start": 123,
"end": 123,
"confidence": 123,
"channel": 1,
"words": [
{
"word": "<string>",
"start": 123,
"end": 123,
"confidence": 123
}
],
"text": "<string>",
"language": "en",
"speaker": 1
}
],
"sentences": [
{
"success": true,
"is_empty": true,
"exec_time": 123,
"error": {
"status_code": 500,
"exception": "<string>",
"message": "<string>"
},
"results": [
"<string>"
]
}
],
"subtitles": [
{
"format": "srt",
"subtitles": "<string>"
}
]
},
"translation": {
"success": true,
"is_empty": true,
"exec_time": 123,
"error": {
"status_code": 500,
"exception": "<string>",
"message": "<string>"
},
"results": [
{
"error": {
"status_code": 500,
"exception": "<string>",
"message": "<string>"
},
"full_transcript": "<string>",
"languages": [
"en"
],
"utterances": [
{
"start": 123,
"end": 123,
"confidence": 123,
"channel": 1,
"words": [
{
"word": "<string>",
"start": 123,
"end": 123,
"confidence": 123
}
],
"text": "<string>",
"language": "en",
"speaker": 1
}
],
"sentences": [
{
"success": true,
"is_empty": true,
"exec_time": 123,
"error": {
"status_code": 500,
"exception": "<string>",
"message": "<string>"
},
"results": [
"<string>"
]
}
],
"subtitles": [
{
"format": "srt",
"subtitles": "<string>"
}
]
}
]
},
"summarization": {
"success": true,
"is_empty": true,
"exec_time": 123,
"error": {
"status_code": 500,
"exception": "<string>",
"message": "<string>"
},
"results": "<string>"
},
"named_entity_recognition": {
"success": true,
"is_empty": true,
"exec_time": 123,
"error": {
"status_code": 500,
"exception": "<string>",
"message": "<string>"
},
"entity": "<string>"
},
"sentiment_analysis": {
"success": true,
"is_empty": true,
"exec_time": 123,
"error": {
"status_code": 500,
"exception": "<string>",
"message": "<string>"
},
"results": "<string>"
},
"chapterization": {
"success": true,
"is_empty": true,
"exec_time": 123,
"error": {
"status_code": 500,
"exception": "<string>",
"message": "<string>"
},
"results": {}
}
}
}Final transcript
Payload definition for the message post_final_transcript.
Id of the live session
"4a39145c-2844-4557-8f34-34883f7be7d9"
Date of creation of the message. The date is formatted as an ISO 8601 string
"2021-09-01T12:00:00.123Z"
post_final_transcript "post_final_transcript"
The message data
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Metadata for the given transcription & audio file
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Duration of the transcribed audio file
3600
Number of distinct channels in the transcribed audio file
x >= 11
Billed duration in seconds (audio_duration * number_of_distinct_channels)
3600
Duration of the transcription in seconds
20
Transcription of the audio speech
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All transcription on text format without any other information
All the detected languages in the audio sorted from the most detected to the less detected
If one language is set, it will be used for the transcription. Otherwise, language will be auto-detected by the model.
af, am, ar, as, az, ba, be, bg, bn, bo, br, bs, ca, cs, cy, da, de, el, en, es, et, eu, fa, fi, fo, fr, gl, gu, ha, haw, he, hi, hr, ht, hu, hy, id, is, it, ja, jw, ka, kk, km, kn, ko, la, lb, ln, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, nn, no, oc, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, sn, so, sq, sr, su, sv, sw, ta, te, tg, th, tk, tl, tr, tt, uk, ur, uz, vi, yi, yo, zh ["en"]Transcribed speech utterances present in the audio
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Start timestamp in seconds of this utterance
End timestamp in seconds of this utterance
Confidence on the transcribed utterance (1 = 100% confident)
Audio channel of where this utterance has been transcribed from
x >= 0List of words of the utterance, split by timestamp
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Spoken word
Start timestamps in seconds of the spoken word
End timestamps in seconds of the spoken word
Confidence on the transcribed word (1 = 100% confident)
Transcription for this utterance
Spoken language in this utterance
af, am, ar, as, az, ba, be, bg, bn, bo, br, bs, ca, cs, cy, da, de, el, en, es, et, eu, fa, fi, fo, fr, gl, gu, ha, haw, he, hi, hr, ht, hu, hy, id, is, it, ja, jw, ka, kk, km, kn, ko, la, lb, ln, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, nn, no, oc, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, sn, so, sq, sr, su, sv, sw, ta, te, tg, th, tk, tl, tr, tt, uk, ur, uz, vi, yi, yo, zh "en"
If diarization enabled, speaker identification number
x >= 0If sentences has been enabled, sentences results
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The audio intelligence model succeeded to get a valid output
The audio intelligence model returned an empty value
Time audio intelligence model took to complete the task
null if success is true. Contains the error details of the failed model
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If sentences has been enabled, transcription as sentences.
If translation has been enabled, translation of the audio speech transcription
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The audio intelligence model succeeded to get a valid output
The audio intelligence model returned an empty value
Time audio intelligence model took to complete the task
null if success is true. Contains the error details of the failed model
List of translated transcriptions, one for each target_languages
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Contains the error details of the failed addon
All transcription on text format without any other information
All the detected languages in the audio sorted from the most detected to the less detected
Target language in iso639-1 format you want the transcription translated to
af, am, ar, as, az, ba, be, bg, bn, bo, br, bs, ca, cs, cy, da, de, el, en, es, et, eu, fa, fi, fo, fr, gl, gu, ha, haw, he, hi, hr, ht, hu, hy, id, is, it, ja, jw, ka, kk, km, kn, ko, la, lb, ln, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, nn, no, oc, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, sn, so, sq, sr, su, sv, sw, ta, te, tg, th, tk, tl, tr, tt, uk, ur, uz, vi, wo, yi, yo, zh ["en"]Transcribed speech utterances present in the audio
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Start timestamp in seconds of this utterance
End timestamp in seconds of this utterance
Confidence on the transcribed utterance (1 = 100% confident)
Audio channel of where this utterance has been transcribed from
x >= 0List of words of the utterance, split by timestamp
Show child attributes
Show child attributes
Spoken word
Start timestamps in seconds of the spoken word
End timestamps in seconds of the spoken word
Confidence on the transcribed word (1 = 100% confident)
Transcription for this utterance
Spoken language in this utterance
af, am, ar, as, az, ba, be, bg, bn, bo, br, bs, ca, cs, cy, da, de, el, en, es, et, eu, fa, fi, fo, fr, gl, gu, ha, haw, he, hi, hr, ht, hu, hy, id, is, it, ja, jw, ka, kk, km, kn, ko, la, lb, ln, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, nn, no, oc, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, sn, so, sq, sr, su, sv, sw, ta, te, tg, th, tk, tl, tr, tt, uk, ur, uz, vi, yi, yo, zh "en"
If diarization enabled, speaker identification number
x >= 0If sentences has been enabled, sentences results for this translation
Show child attributes
Show child attributes
The audio intelligence model succeeded to get a valid output
The audio intelligence model returned an empty value
Time audio intelligence model took to complete the task
null if success is true. Contains the error details of the failed model
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If sentences has been enabled, transcription as sentences.
If subtitles has been enabled, subtitles results for this translation
If summarization has been enabled, summarization of the audio speech transcription
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The audio intelligence model succeeded to get a valid output
The audio intelligence model returned an empty value
Time audio intelligence model took to complete the task
null if success is true. Contains the error details of the failed model
If summarization has been enabled, summary of the transcription
If named_entity_recognition has been enabled, the detected entities
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The audio intelligence model succeeded to get a valid output
The audio intelligence model returned an empty value
Time audio intelligence model took to complete the task
null if success is true. Contains the error details of the failed model
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If named_entity_recognition has been enabled, the detected entities.
If sentiment_analysis has been enabled, sentiment analysis of the audio speech transcription
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The audio intelligence model succeeded to get a valid output
The audio intelligence model returned an empty value
Time audio intelligence model took to complete the task
null if success is true. Contains the error details of the failed model
If sentiment_analysis has been enabled, Gladia will analyze the sentiments and emotions of the audio
If chapterization has been enabled, will generate chapters name for different parts of the given audio.
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The audio intelligence model succeeded to get a valid output
The audio intelligence model returned an empty value
Time audio intelligence model took to complete the task
null if success is true. Contains the error details of the failed model
If chapterization has been enabled, will generate chapters name for different parts of the given audio.