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POST
/
api
/
v1
/
runtime
/
v1
/
transcribe
Transcribe audio to text using Whisper
curl --request POST \
  --url https://api.runflow.ai/api/v1/runtime/v1/transcribe \
  --header 'Content-Type: application/json' \
  --data '
{
  "audioUrl": "<string>",
  "language": "<string>",
  "provider": "openai",
  "model": "whisper-1"
}
'
import requests

url = "https://api.runflow.ai/api/v1/runtime/v1/transcribe"

payload = {
"audioUrl": "<string>",
"language": "<string>",
"provider": "openai",
"model": "whisper-1"
}
headers = {"Content-Type": "application/json"}

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

print(response.text)
const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
audioUrl: '<string>',
language: '<string>',
provider: 'openai',
model: 'whisper-1'
})
};

fetch('https://api.runflow.ai/api/v1/runtime/v1/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_URL => "https://api.runflow.ai/api/v1/runtime/v1/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([
'audioUrl' => '<string>',
'language' => '<string>',
'provider' => 'openai',
'model' => 'whisper-1'
]),
CURLOPT_HTTPHEADER => [
"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://api.runflow.ai/api/v1/runtime/v1/transcribe"

payload := strings.NewReader("{\n \"audioUrl\": \"<string>\",\n \"language\": \"<string>\",\n \"provider\": \"openai\",\n \"model\": \"whisper-1\"\n}")

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

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://api.runflow.ai/api/v1/runtime/v1/transcribe")
.header("Content-Type", "application/json")
.body("{\n \"audioUrl\": \"<string>\",\n \"language\": \"<string>\",\n \"provider\": \"openai\",\n \"model\": \"whisper-1\"\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.runflow.ai/api/v1/runtime/v1/transcribe")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"audioUrl\": \"<string>\",\n \"language\": \"<string>\",\n \"provider\": \"openai\",\n \"model\": \"whisper-1\"\n}"

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

Body

application/json
audioUrl
string
required

URL of the audio file to transcribe

language
string

Language code (e.g., pt, en, es). Auto-detect if not provided.

provider
enum<string>
default:openai

Transcription provider

Available options:
openai,
deepgram,
assemblyai,
google
model
string

Model to use (provider-specific)

Example:

"whisper-1"

Response

Transcription result: { text, language?, duration?, provider? }.