Create a transcription

Transcribe audio in its original language

POST /v1/audio/transcriptions

Create a transcription

cURL

curl --request POST \
  --url https://api.bianxie.ai/v1/audio/transcriptions

import requests

url = "https://api.bianxie.ai/v1/audio/transcriptions"

response = requests.post(url)

print(response.text)

const options = {method: 'POST'};

fetch('https://api.bianxie.ai/v1/audio/transcriptions', 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://api.bianxie.ai/v1/audio/transcriptions",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
]);

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

curl_close($curl);

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

package main

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

func main() {

	url := "https://api.bianxie.ai/v1/audio/transcriptions"

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

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.bianxie.ai/v1/audio/transcriptions")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.bianxie.ai/v1/audio/transcriptions")

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

request = Net::HTTP::Post.new(url)

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

Send multipart/form-data.

Field	Type	Required	Description
file	file	Yes	Audio file; supported formats and size depend on the model.
model	string	Yes	Transcription model ID.
language	string	No	ISO-639-1 input language.
prompt	string	No	Style guidance or prior context.
response_format	string	No	json, text, srt, verbose_json, or vtt, subject to model support.
temperature	number	No	Sampling temperature.
timestamp_granularities	array	No	Segment or word timestamps.

cURL

curl https://api.bianxie.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer API_KEY" \
  -F "model=your-model" \
  -F "file=@speech.mp3"

client.audio.transcriptions.create(model="your-model", file=open("speech.mp3", "rb"))

await client.audio.transcriptions.create({ model: "your-model", file: fs.createReadStream("speech.mp3") });

The response contains at least text; verbose formats may include language, duration, segments, or word timestamps. Streaming depends on model and response format.