curl --request POST \
  --url http://127.0.0.1:{port}/transcribe \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "file": "<string>",
  "audio_base64": "<string>",
  "mime_type": "<string>",
  "mode_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "engine": "<string>",
  "model": "<string>",
  "language": "<string>"
}
'

import requests

url = "http://127.0.0.1:{port}/transcribe"

payload = {
    "file": "<string>",
    "audio_base64": "<string>",
    "mime_type": "<string>",
    "mode_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "engine": "<string>",
    "model": "<string>",
    "language": "<string>"
}
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({
    file: '<string>',
    audio_base64: '<string>',
    mime_type: '<string>',
    mode_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    engine: '<string>',
    model: '<string>',
    language: '<string>'
  })
};

fetch('http://127.0.0.1:{port}/transcribe', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_PORT => "62437",
  CURLOPT_URL => "http://127.0.0.1:{port}/transcribe",
  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([
    'file' => '<string>',
    'audio_base64' => '<string>',
    'mime_type' => '<string>',
    'mode_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'engine' => '<string>',
    'model' => '<string>',
    'language' => '<string>'
  ]),
  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 := "http://127.0.0.1:{port}/transcribe"

	payload := strings.NewReader("{\n  \"file\": \"<string>\",\n  \"audio_base64\": \"<string>\",\n  \"mime_type\": \"<string>\",\n  \"mode_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"engine\": \"<string>\",\n  \"model\": \"<string>\",\n  \"language\": \"<string>\"\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("http://127.0.0.1:{port}/transcribe")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"file\": \"<string>\",\n  \"audio_base64\": \"<string>\",\n  \"mime_type\": \"<string>\",\n  \"mode_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"engine\": \"<string>\",\n  \"model\": \"<string>\",\n  \"language\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("http://127.0.0.1:{port}/transcribe")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"file\": \"<string>\",\n  \"audio_base64\": \"<string>\",\n  \"mime_type\": \"<string>\",\n  \"mode_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"engine\": \"<string>\",\n  \"model\": \"<string>\",\n  \"language\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "ok": true,
  "text": "<string>",
  "engine": "<string>",
  "model": "<string>",
  "language": "<string>",
  "timings": {
    "load_ms": 123,
    "decode_ms": 123
  },
  "latency_ms": 123
}