Get Transcription
Your personal Gladia API key
Id of the transcription
Authorizations
Your personal Gladia API key
Path Parameters
Id of the transcription
Response
Id of the transcription
Debug id
Transcription kind. "pre-recorded" for transcription on pre-recorded file. "live" for transcription using the live streaming websocket.
pre-recorded, live Creation date
Custom metadata given in the transcription request
The file data you uploaded
The file id
The name of the uploaded file
The link used to download the file if audio_url was used
Duration of the audio file
Number of channels in the audio file
Parameters used for this transcription.
Context to feed the transcription model with for possible better performance
Specific vocabulary list to feed the transcription model with
Detect the language from the given audio
Detect multiple languages in the given audio
Specify the configuration for code switching
Specify the languages you want to use when detecting multiple languages
af, sq, am, ar, hy, as, az, ba, eu, be, bn, bs, br, bg, ca, zh, hr, cs, da, nl, en, et, fo, fi, fr, gl, ka, de, el, gu, ht, ha, haw, he, hi, hu, is, id, it, ja, jp, jv, kn, kk, km, ko, lo, la, lv, ln, lt, lb, mk, mg, ms, ml, mt, mi, mr, mn, mymr, ne, no, nn, oc, ps, fa, pl, pt, pa, ro, ru, sa, sr, sn, sd, si, sk, sl, so, es, su, sw, sv, tl, tg, ta, tt, te, th, bo, tr, tk, uk, ur, uz, vi, cy, yi, yo Set the spoken language for the given audio (ISO 639 standard)
af, sq, am, ar, hy, as, az, ba, eu, be, bn, bs, br, bg, ca, zh, hr, cs, da, nl, en, et, fo, fi, fr, gl, ka, de, el, gu, ht, ha, haw, he, hi, hu, is, id, it, ja, jp, jv, kn, kk, km, ko, lo, la, lv, ln, lt, lb, mk, mg, ms, ml, mt, mi, mr, mn, mymr, ne, no, nn, oc, ps, fa, pl, pt, pa, ro, ru, sa, sr, sn, sd, si, sk, sl, so, es, su, sw, sv, tl, tg, ta, tt, te, th, bo, tr, tk, uk, ur, uz, vi, cy, yi, yo Callback URL we will do a POST request to with the result of the transcription
Enable subtitles generation for this transcription
Configuration for subtitles generation if subtitles is enabled
srt, vtt Enable speaker recognition (diarization) for this audio
Speaker recognition configuration, if diarization is enabled
Exact number of speakers in the audio
Minimum number of speakers in the audio
Maximum number of speakers in the audio
Enable translation for this audio
Translation configuration, if translation is enabled
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, nl, fr, fy, ff, gd, gl, lg, ka, de, el, gu, ht, ha, haw, he, hi, hu, is, ig, ilo, id, ga, it, ja, jp, 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 Model you want the translation model to use to translate
base, enhanced Enable summarization for this audio
Summarization configuration, if summarization is enabled
The type of summarization to apply
general, bullet_points, concise Enable moderation for this audio
Enable named entity recognition for this audio
Enable chapterization for this audio
Enable names consistency for this audio
Enable custom spelling for this audio
Custom spelling configuration, if custom_spelling is enabled
The list of spelling applied on the audio transcription
Enable structured data extraction for this audio
Structured data extraction configuration, if structured_data_extraction is enabled
The list of classes to extract from the audio transcription
Enable sentiment analysis for this audio
Enable audio to llm processing for this audio
Audio to llm configuration, if audio_to_llm is enabled
The list of prompts applied on the audio transcription
Enable sentences for this audio
Allows to change the output display_mode for this audio. The output will be reordered, creating new utterances when speakers overlapped
Transcription is on the queue, waiting to be processed
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