Speech-to-Text Transcription

cURL

curl --request POST \
  --url https://nano-gpt.com/api/transcribe \
  --header 'Content-Type: multipart/form-data' \
  --header 'x-api-key: <api-key>' \
  --form audio='@example-file' \
  --form 'audioUrl=<string>' \
  --form model=Whisper-Large-V3 \
  --form language=en \
  --form 'actualDuration=<string>' \
  --form diarize=false \
  --form tagAudioEvents=false

import requests

url = "https://nano-gpt.com/api/transcribe"

files = { "audio": ("example-file", open("example-file", "rb")) }
payload = {
    "audioUrl": "<string>",
    "model": "Whisper-Large-V3",
    "language": "en",
    "actualDuration": "<string>",
    "diarize": "false",
    "tagAudioEvents": "false"
}
headers = {"x-api-key": "<api-key>"}

response = requests.post(url, data=payload, files=files, headers=headers)

print(response.text)

const form = new FormData();
form.append('audio', '<string>');
form.append('audioUrl', '<string>');
form.append('model', 'Whisper-Large-V3');
form.append('language', 'en');
form.append('actualDuration', '<string>');
form.append('diarize', 'false');
form.append('tagAudioEvents', 'false');

const options = {method: 'POST', headers: {'x-api-key': '<api-key>'}};

options.body = form;

fetch('https://nano-gpt.com/api/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://nano-gpt.com/api/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 => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audio\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audioUrl\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nWhisper-Large-V3\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"actualDuration\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"diarize\"\r\n\r\nfalse\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"tagAudioEvents\"\r\n\r\nfalse\r\n-----011000010111000001101001--",
  CURLOPT_HTTPHEADER => [
    "Content-Type: multipart/form-data",
    "x-api-key: <api-key>"
  ],
]);

$response = curl_exec($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://nano-gpt.com/api/transcribe"

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audio\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audioUrl\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nWhisper-Large-V3\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"actualDuration\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"diarize\"\r\n\r\nfalse\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"tagAudioEvents\"\r\n\r\nfalse\r\n-----011000010111000001101001--")

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

	req.Header.Add("x-api-key", "<api-key>")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://nano-gpt.com/api/transcribe")
  .header("x-api-key", "<api-key>")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audio\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audioUrl\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nWhisper-Large-V3\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"actualDuration\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"diarize\"\r\n\r\nfalse\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"tagAudioEvents\"\r\n\r\nfalse\r\n-----011000010111000001101001--")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://nano-gpt.com/api/transcribe")

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

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audio\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audioUrl\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nWhisper-Large-V3\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"actualDuration\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"diarize\"\r\n\r\nfalse\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"tagAudioEvents\"\r\n\r\nfalse\r\n-----011000010111000001101001--"

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

{
  "transcription": "Hello, this is a test transcription.",
  "metadata": {
    "cost": 123,
    "currency": "USD",
    "model": "<string>",
    "fileName": "<string>",
    "fileSize": 123,
    "chargedDuration": 123,
    "actualDuration": 123,
    "language": "<string>"
  }
}

{
  "runId": "abc123def456",
  "status": "pending",
  "model": "<string>",
  "cost": 123,
  "paymentSource": "<string>",
  "isApiRequest": true,
  "fileName": "<string>",
  "fileSize": 123,
  "chargedDuration": 123,
  "diarize": true
}

{
  "error": 123,
  "message": "<string>"
}

{
  "error": 123,
  "message": "<string>"
}

{
  "error": 123,
  "message": "<string>"
}

{
  "error": 123,
  "message": "<string>"
}

POST

transcribe

cURL

curl --request POST \
  --url https://nano-gpt.com/api/transcribe \
  --header 'Content-Type: multipart/form-data' \
  --header 'x-api-key: <api-key>' \
  --form audio='@example-file' \
  --form 'audioUrl=<string>' \
  --form model=Whisper-Large-V3 \
  --form language=en \
  --form 'actualDuration=<string>' \
  --form diarize=false \
  --form tagAudioEvents=false

import requests

url = "https://nano-gpt.com/api/transcribe"

files = { "audio": ("example-file", open("example-file", "rb")) }
payload = {
    "audioUrl": "<string>",
    "model": "Whisper-Large-V3",
    "language": "en",
    "actualDuration": "<string>",
    "diarize": "false",
    "tagAudioEvents": "false"
}
headers = {"x-api-key": "<api-key>"}

response = requests.post(url, data=payload, files=files, headers=headers)

print(response.text)

const form = new FormData();
form.append('audio', '<string>');
form.append('audioUrl', '<string>');
form.append('model', 'Whisper-Large-V3');
form.append('language', 'en');
form.append('actualDuration', '<string>');
form.append('diarize', 'false');
form.append('tagAudioEvents', 'false');

const options = {method: 'POST', headers: {'x-api-key': '<api-key>'}};

options.body = form;

fetch('https://nano-gpt.com/api/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://nano-gpt.com/api/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 => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audio\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audioUrl\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nWhisper-Large-V3\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"actualDuration\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"diarize\"\r\n\r\nfalse\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"tagAudioEvents\"\r\n\r\nfalse\r\n-----011000010111000001101001--",
  CURLOPT_HTTPHEADER => [
    "Content-Type: multipart/form-data",
    "x-api-key: <api-key>"
  ],
]);

$response = curl_exec($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://nano-gpt.com/api/transcribe"

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audio\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audioUrl\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nWhisper-Large-V3\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"actualDuration\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"diarize\"\r\n\r\nfalse\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"tagAudioEvents\"\r\n\r\nfalse\r\n-----011000010111000001101001--")

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

	req.Header.Add("x-api-key", "<api-key>")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://nano-gpt.com/api/transcribe")
  .header("x-api-key", "<api-key>")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audio\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audioUrl\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nWhisper-Large-V3\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"actualDuration\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"diarize\"\r\n\r\nfalse\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"tagAudioEvents\"\r\n\r\nfalse\r\n-----011000010111000001101001--")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://nano-gpt.com/api/transcribe")

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

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audio\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"audioUrl\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\nWhisper-Large-V3\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"language\"\r\n\r\nen\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"actualDuration\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"diarize\"\r\n\r\nfalse\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"tagAudioEvents\"\r\n\r\nfalse\r\n-----011000010111000001101001--"

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

{
  "transcription": "Hello, this is a test transcription.",
  "metadata": {
    "cost": 123,
    "currency": "USD",
    "model": "<string>",
    "fileName": "<string>",
    "fileSize": 123,
    "chargedDuration": 123,
    "actualDuration": 123,
    "language": "<string>"
  }
}

{
  "runId": "abc123def456",
  "status": "pending",
  "model": "<string>",
  "cost": 123,
  "paymentSource": "<string>",
  "isApiRequest": true,
  "fileName": "<string>",
  "fileSize": 123,
  "chargedDuration": 123,
  "diarize": true
}

{
  "error": 123,
  "message": "<string>"
}

{
  "error": 123,
  "message": "<string>"
}

{
  "error": 123,
  "message": "<string>"
}

{
  "error": 123,
  "message": "<string>"
}

Overview

The Speech-to-Text transcription endpoint converts audio files into text using state-of-the-art speech recognition models. Supports multiple languages, speaker diarization, and various audio formats. Looking for a drop-in OpenAI-compatible STT endpoint? Use POST /api/v1/audio/transcriptions. See api-reference/endpoint/audio-transcriptions.mdx.

Supported Models

Whisper-Large-V3: High-accuracy transcription (~$0.0005/min) - Synchronous
Wizper: Fast and efficient transcription ($0.01/min) - Synchronous
Elevenlabs-STT: Premium transcription with diarization ($0.03/min) - Asynchronous
gpt-4o-mini-transcribe: Efficient OpenAI transcription ($0.003/min) - Synchronous
gpt-4o-mini-transcribe-2025-03-20: Snapshot ($0.003/min) - Synchronous
gpt-4o-mini-transcribe-2025-12-15: Snapshot ($0.003/min) - Synchronous
gpt-4o-mini-transcribe-latest: Alias ($0.003/min) - Synchronous
openai-whisper-with-video: Video-to-text transcription ($0.06/min) - Synchronous
qwen-voice-clone: Voice cloning ($0.25/run) - Asynchronous
minimax-voice-clone: Voice cloning ($1.00/run) - Asynchronous

Upload Methods

Direct File Upload (≤3MB)

import requests

def transcribe_file(file_path):
    headers = {"x-api-key": "YOUR_API_KEY"}
    
    with open(file_path, 'rb') as audio_file:
        files = {'audio': ('audio.mp3', audio_file, 'audio/mpeg')}
        data = {
            'model': 'Whisper-Large-V3',
            'language': 'en'
        }
        
        response = requests.post(
            "https://nano-gpt.com/api/transcribe",
            headers=headers,
            files=files,
            data=data
        )
        
        return response.json()

result = transcribe_file("meeting.mp3")
print(result['transcription'])

const formData = new FormData();
formData.append('audio', audioFile);
formData.append('model', 'Whisper-Large-V3');
formData.append('language', 'auto');

const response = await fetch('https://nano-gpt.com/api/transcribe', {
    method: 'POST',
    headers: {
        'x-api-key': 'YOUR_API_KEY'
    },
    body: formData
});

const result = await response.json();
console.log(result.transcription);

curl -X POST https://nano-gpt.com/api/transcribe \
  -H "x-api-key: YOUR_API_KEY" \
  -F "audio=@meeting.mp3" \
  -F "model=Whisper-Large-V3" \
  -F "language=en"

URL Upload (≤500MB)

import requests

def transcribe_url(audio_url):
    headers = {
        "x-api-key": "YOUR_API_KEY",
        "Content-Type": "application/json"
    }
    
    data = {
        "audioUrl": audio_url,
        "model": "Wizper",
        "language": "auto"
    }
    
    response = requests.post(
        "https://nano-gpt.com/api/transcribe",
        headers=headers,
        json=data
    )
    
    return response.json()

result = transcribe_url("https://example.com/audio.mp3")
print(result['transcription'])

const response = await fetch('https://nano-gpt.com/api/transcribe', {
    method: 'POST',
    headers: {
        'x-api-key': 'YOUR_API_KEY',
        'Content-Type': 'application/json'
    },
    body: JSON.stringify({
        audioUrl: 'https://example.com/audio.mp3',
        model: 'Wizper',
        language: 'auto'
    })
});

const result = await response.json();
console.log(result.transcription);

curl -X POST https://nano-gpt.com/api/transcribe \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "audioUrl": "https://example.com/audio.mp3",
    "model": "Wizper",
    "language": "auto"
  }'

Advanced Features - Speaker Diarization

Use Elevenlabs-STT for speaker identification (asynchronous processing):

import requests
import time

def transcribe_with_speakers(audio_url):
    headers = {
        "x-api-key": "YOUR_API_KEY",
        "Content-Type": "application/json"
    }
    
    # Submit transcription job
    data = {
        "audioUrl": audio_url,
        "model": "Elevenlabs-STT",
        "diarize": True,
        "tagAudioEvents": True
    }
    
    response = requests.post(
        "https://nano-gpt.com/api/transcribe",
        headers=headers,
        json=data
    )
    
    if response.status_code == 202:
        job_data = response.json()
        
        # Poll for results
        status_data = {
            "runId": job_data['runId'],
            "cost": job_data.get('cost'),
            "paymentSource": job_data.get('paymentSource'),
            "isApiRequest": True
        }
        
        while True:
            status_response = requests.post(
                "https://nano-gpt.com/api/transcribe/status",
                headers=headers,
                json=status_data
            )
            
            result = status_response.json()
            if result.get('status') == 'completed':
                return result
            elif result.get('status') == 'failed':
                raise Exception(f"Transcription failed: {result.get('error')}")
            
            time.sleep(5)

result = transcribe_with_speakers("https://example.com/meeting.mp3")

# Access speaker segments
for segment in result['diarization']['segments']:
    print(f"{segment['speaker']}: {segment['text']}")

Language Support

Supports 97+ languages with auto-detection:

# Common language codes
languages = {
    "auto": "Auto-detect",
    "en": "English", 
    "es": "Spanish",
    "fr": "French",
    "de": "German", 
    "zh": "Chinese",
    "ja": "Japanese",
    "ar": "Arabic"
}

Response Examples

Synchronous Response (most models)

{
  "transcription": "Hello, this is a test transcription.",
  "metadata": {
    "fileName": "audio.mp3",
    "fileSize": 1234567,
    "chargedDuration": 2.5,
    "actualDuration": 2.5,
    "language": "en",
    "cost": 0.0012,
    "currency": "USD",
    "model": "Whisper-Large-V3"
  }
}

Asynchronous Response (Elevenlabs-STT and voice cloning)

Initial response (202):

{
  "runId": "abc123def456",
  "status": "pending",
  "model": "Elevenlabs-STT",
  "cost": 0.075,
  "paymentSource": "USD"
}

Final response (when completed):

{
  "status": "completed",
  "transcription": "Speaker 1: Hello everyone. Speaker 2: Hi there!",
  "metadata": { ... },
  "diarization": {
    "segments": [
      {
        "speaker": "Speaker 1",
        "text": "Hello everyone",
        "start": 0.5,
        "end": 1.5
      }
    ]
  },
  "words": [
    {
      "text": "Hello",
      "start": 0.5,
      "end": 0.9,
      "type": "word",
      "speaker_id": "speaker_0"
    }
  ]
}

Authorizations

x-api-key

string

header

required

Body

Audio transcription parameters. Use multipart/form-data for file uploads or application/json for URL-based requests.

audio

file

Direct file upload (max 3MB). Supported formats: MP3, WAV, M4A, OGG, AAC

audioUrl

string<uri>

URL to audio file (alternative to direct upload, supports up to 500MB)

model

enum<string>

default:Whisper-Large-V3

The STT model to use for transcription

Available options:

Whisper-Large-V3,

Wizper,

Elevenlabs-STT,

gpt-4o-mini-transcribe,

gpt-4o-mini-transcribe-2025-03-20,

gpt-4o-mini-transcribe-2025-12-15,

gpt-4o-mini-transcribe-latest,

openai-whisper-with-video,

qwen-voice-clone,

minimax-voice-clone

language

string

default:auto

Language code for transcription (ISO 639-1 or ISO 639-3). Use 'auto' for auto-detection

Example:

"en"

actualDuration

string

Actual audio duration in minutes for accurate billing

diarize

enum<string>

default:false

Enable speaker diarization (Elevenlabs-STT only)

Available options:

true,

false

tagAudioEvents

enum<string>

default:false

Tag non-speech audio events like [laughter], [applause] (Elevenlabs-STT only)

Available options:

true,

false

Response

Synchronous transcription response (Whisper/Wizper models)

transcription

string

required

The transcribed text

Example:

"Hello, this is a test transcription."

metadata

object

required

Show child attributes

AI Detection Speech-to-Text Status

Get Started

Endpoint Examples

API Reference

Miscellaneous

Partner

Integrations

Overview

Supported Models

Upload Methods

Direct File Upload (≤3MB)

URL Upload (≤500MB)

Advanced Features - Speaker Diarization

Language Support

Response Examples

Synchronous Response (most models)

Asynchronous Response (Elevenlabs-STT and voice cloning)

Authorizations

Body

Response

​Overview

​Supported Models

​Upload Methods

​Direct File Upload (≤3MB)

​URL Upload (≤500MB)

​Advanced Features - Speaker Diarization

​Language Support

​Response Examples

​Synchronous Response (most models)

​Asynchronous Response (Elevenlabs-STT and voice cloning)

Authorizations

Body

Response

Overview

Supported Models

Upload Methods

Direct File Upload (≤3MB)

URL Upload (≤500MB)

Advanced Features - Speaker Diarization

Language Support

Response Examples

Synchronous Response (most models)

Asynchronous Response (Elevenlabs-STT and voice cloning)