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Pre-recorded endpoints
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- Post-processing messages
- Acknowledgment messages
- Lifecycle messages
Live webhooks
- Lifecycle messages
Post Transcript
Payload definition for the message post_transcript
.
Date of creation of the message. The date is formatted as an ISO 8601 string
The message data
All transcription on text format without any other information
af
, sq
, am
, ar
, hy
, as
, ast
, az
, ba
, eu
, be
, bn
, bs
, br
, bg
, my
, ca
, ceb
, zh
, hr
, cs
, da
, nl
, en
, et
, fo
, fi
, fr
, fy
, ff
, gd
, gl
, lg
, ka
, de
, el
, gu
, ht
, ha
, haw
, he
, hi
, hu
, is
, ig
, ilo
, id
, ga
, it
, ja
, jv
, kn
, kk
, km
, ko
, lo
, la
, lv
, ln
, lt
, lb
, mk
, mg
, ms
, ml
, mt
, mi
, mr
, mo
, mn
, mymr
, ne
, no
, nn
, oc
, or
, pa
, ps
, fa
, pl
, pt
, pa
, ro
, ru
, sa
, sr
, sn
, sd
, si
, sk
, sl
, so
, es
, su
, sw
, ss
, sv
, tl
, tg
, ta
, tt
, te
, th
, bo
, tn
, tr
, tk
, uk
, ur
, uz
, vi
, cy
, wo
, xh
, yi
, yo
, zu
Transcribed speech utterances present in the audio
Audio channel of where this utterance has been transcribed from
x > 0
Confidence on the transcribed utterance (1 = 100% confident)
End timestamp in seconds of this utterance
All the detected languages in the audio sorted from the most detected to the less detected
af
, sq
, am
, ar
, hy
, as
, ast
, az
, ba
, eu
, be
, bn
, bs
, br
, bg
, my
, ca
, ceb
, zh
, hr
, cs
, da
, nl
, en
, et
, fo
, fi
, fr
, fy
, ff
, gd
, gl
, lg
, ka
, de
, el
, gu
, ht
, ha
, haw
, he
, hi
, hu
, is
, ig
, ilo
, id
, ga
, it
, ja
, jv
, kn
, kk
, km
, ko
, lo
, la
, lv
, ln
, lt
, lb
, mk
, mg
, ms
, ml
, mt
, mi
, mr
, mo
, mn
, mymr
, ne
, no
, nn
, oc
, or
, pa
, ps
, fa
, pl
, pt
, pa
, ro
, ru
, sa
, sr
, sn
, sd
, si
, sk
, sl
, so
, es
, su
, sw
, ss
, sv
, tl
, tg
, ta
, tt
, te
, th
, bo
, tn
, tr
, tk
, uk
, ur
, uz
, vi
, cy
, wo
, xh
, yi
, yo
, zu
Start timestamp in seconds of this utterance
Transcription for this utterance
List of words of the utterance, split by timestamp
Confidence on the transcribed word (1 = 100% confident)
End timestamps in seconds of the spoken word
Start timestamps in seconds of the spoken word
Spoken word
If diarization
enabled, speaker identification number
x > 0
If sentences
has been enabled, sentences results
Time audio intelligence model took to complete the task
The audio intelligence model returned an empty value
If sentences
has been enabled, transcription as sentences.
The audio intelligence model succeeded to get a valid output
Id of the live session
post_transcript
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