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POST
/
model
/
v2
/
infer
/
whisper
Transcribe or translate audio using Whisper Large V2
curl --request POST \
  --url https://http.whisper.model-cluster.on-prem.clusters.yotta-uat.cluster.s9t.link/model/v2/infer/whisper \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "audio_data": "base64_encoded_audio_content",
  "language": "en",
  "task": "transcribe",
  "beam_size": 5,
  "best_of": 5,
  "word_timestamps": 1,
  "diarization": 0,
  "streaming": 0,
  "batch_size": 24,
  "length_penalty": 1,
  "patience": 1,
  "vad_onset": 0.5,
  "vad_offset": 0.363
}
'
import requests

url = "https://http.whisper.model-cluster.on-prem.clusters.yotta-uat.cluster.s9t.link/model/v2/infer/whisper"

payload = {
"audio_data": "base64_encoded_audio_content",
"language": "en",
"task": "transcribe",
"beam_size": 5,
"best_of": 5,
"word_timestamps": 1,
"diarization": 0,
"streaming": 0,
"batch_size": 24,
"length_penalty": 1,
"patience": 1,
"vad_onset": 0.5,
"vad_offset": 0.363
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
audio_data: 'base64_encoded_audio_content',
language: 'en',
task: 'transcribe',
beam_size: 5,
best_of: 5,
word_timestamps: 1,
diarization: 0,
streaming: 0,
batch_size: 24,
length_penalty: 1,
patience: 1,
vad_onset: 0.5,
vad_offset: 0.363
})
};

fetch('https://http.whisper.model-cluster.on-prem.clusters.yotta-uat.cluster.s9t.link/model/v2/infer/whisper', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
CURLOPT_URL => "https://http.whisper.model-cluster.on-prem.clusters.yotta-uat.cluster.s9t.link/model/v2/infer/whisper",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'audio_data' => 'base64_encoded_audio_content',
'language' => 'en',
'task' => 'transcribe',
'beam_size' => 5,
'best_of' => 5,
'word_timestamps' => 1,
'diarization' => 0,
'streaming' => 0,
'batch_size' => 24,
'length_penalty' => 1,
'patience' => 1,
'vad_onset' => 0.5,
'vad_offset' => 0.363
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}
package main

import (
"fmt"
"strings"
"net/http"
"io"
)

func main() {

url := "https://http.whisper.model-cluster.on-prem.clusters.yotta-uat.cluster.s9t.link/model/v2/infer/whisper"

payload := strings.NewReader("{\n \"audio_data\": \"base64_encoded_audio_content\",\n \"language\": \"en\",\n \"task\": \"transcribe\",\n \"beam_size\": 5,\n \"best_of\": 5,\n \"word_timestamps\": 1,\n \"diarization\": 0,\n \"streaming\": 0,\n \"batch_size\": 24,\n \"length_penalty\": 1,\n \"patience\": 1,\n \"vad_onset\": 0.5,\n \"vad_offset\": 0.363\n}")

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()
body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.post("https://http.whisper.model-cluster.on-prem.clusters.yotta-uat.cluster.s9t.link/model/v2/infer/whisper")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"audio_data\": \"base64_encoded_audio_content\",\n \"language\": \"en\",\n \"task\": \"transcribe\",\n \"beam_size\": 5,\n \"best_of\": 5,\n \"word_timestamps\": 1,\n \"diarization\": 0,\n \"streaming\": 0,\n \"batch_size\": 24,\n \"length_penalty\": 1,\n \"patience\": 1,\n \"vad_onset\": 0.5,\n \"vad_offset\": 0.363\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://http.whisper.model-cluster.on-prem.clusters.yotta-uat.cluster.s9t.link/model/v2/infer/whisper")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"audio_data\": \"base64_encoded_audio_content\",\n \"language\": \"en\",\n \"task\": \"transcribe\",\n \"beam_size\": 5,\n \"best_of\": 5,\n \"word_timestamps\": 1,\n \"diarization\": 0,\n \"streaming\": 0,\n \"batch_size\": 24,\n \"length_penalty\": 1,\n \"patience\": 1,\n \"vad_onset\": 0.5,\n \"vad_offset\": 0.363\n}"

response = http.request(request)
puts response.read_body
{
  "transcription": [
    "<string>"
  ],
  "segments": [
    {
      "start": 123,
      "end": 123,
      "text": "<string>",
      "words": [
        {
          "word": "<string>",
          "start": 123,
          "end": 123
        }
      ]
    }
  ],
  "request_time": 123,
  "language": "<string>"
}
{
"error": "<string>",
"status": 123
}

Authorizations

Authorization
string
header
required

JWT token for authentication

Body

application/json
audio_data
string
required

TEXT FIELD: This is a string field (not a file upload). Provide the audio as a base64-encoded string. First convert your audio file (.mp3, .wav, .flac) to base64, then paste the resulting string here.

language
string
required

Language code (e.g. 'en' for English)

Example:

"en"

task
enum<string>
required

Task type - transcribe in source language or translate to English

Available options:
transcribe,
translate
Example:

"transcribe"

initial_prompt
string

Optional starting text prompt for context

beam_size
integer
default:5

Number of parallel sequences evaluated

Required range: 1 <= x <= 5
best_of
integer
default:5

Number of best sequences considered

Required range: 1 <= x <= 5
word_timestamps
enum<integer>
default:0

Include word-level timestamps (0=false, 1=true)

Available options:
0,
1
diarization
enum<integer>
default:0

Enable speaker diarization (0=false, 1=true)

Available options:
0,
1
vad_filter
enum<integer>
default:1

Enable voice activity detection filter (0=false, 1=true)

Available options:
0,
1
without_timestamps
enum<integer>
default:0

Exclude timestamps from output (0=false, 1=true)

Available options:
0,
1
streaming
enum<integer>
default:0

Enable streaming output (0=false, 1=true)

Available options:
0,
1
min_speakers
number
default:0

Minimum number of speakers to detect

max_speakers
number
default:0

Maximum number of speakers to detect

batch_size
integer
default:24

Number of audio samples processed in one batch

Required range: 0 <= x <= 24
length_penalty
number
default:1

Penalty for longer sequences

patience
number
default:1

Beam search patience factor

Required range: 0 <= x <= 1
min_duration_off
number
default:0

Minimum duration of silence for a break

min_duration_on
number
default:0

Minimum duration for speech detection

vad_onset
number
default:0.5

Voice activity detection onset threshold

Required range: 0 <= x <= 1
vad_offset
number
default:0.363

Voice activity detection offset threshold

Required range: 0 <= x <= 1
pad_offset
number
default:0

Additional padding at segment end

pad_onset
number
default:0

Additional padding at segment start

max_duration
number
default:30

Maximum duration to process

Response

Successful transcription

transcription
string[]

Array of transcribed text segments

segments
object[]
request_time
number

Total processing time in seconds

language
string

Detected or specified language