API Documentation
Upload
Pre-recorded endpoints
Live endpoints
Live WS actions
Live WS messages
- Realtime messages
- Post-processing messages
- Acknowledgment messages
- Lifecycle messages
Live callbacks
- Realtime messages
- Post-processing messages
- Acknowledgment messages
- Lifecycle messages
Live webhooks
- Lifecycle messages
Post Transcript
Payload definition for the callback event live.post_transcript
.
Id of the job
live.post_transcript
The live message payload as sent to the WebSocket
Id of the live session
Date of creation of the message. The date is formatted as an ISO 8601 string
post_transcript
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
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
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 > 0
If diarization
enabled, speaker identification number
x > 0
List of words of the utterance, split by timestamp
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
If sentences
has been enabled, sentences results
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 sentences
has been enabled, transcription as sentences.
Was this page helpful?