curl --request POST \
  --url https://api.varg.ai/v2/speech \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "eleven_v3",
  "text": "Hello everyone! Welcome to my channel.",
  "voice": "rachel"
}
'

import requests

url = "https://api.varg.ai/v2/speech"

payload = {
    "model": "eleven_v3",
    "text": "Hello everyone! Welcome to my channel.",
    "voice": "rachel"
}
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({
    model: 'eleven_v3',
    text: 'Hello everyone! Welcome to my channel.',
    voice: 'rachel'
  })
};

fetch('https://api.varg.ai/v2/speech', 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.varg.ai/v2/speech",
  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([
    'model' => 'eleven_v3',
    'text' => 'Hello everyone! Welcome to my channel.',
    'voice' => 'rachel'
  ]),
  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://api.varg.ai/v2/speech"

	payload := strings.NewReader("{\n  \"model\": \"eleven_v3\",\n  \"text\": \"Hello everyone! Welcome to my channel.\",\n  \"voice\": \"rachel\"\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://api.varg.ai/v2/speech")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"eleven_v3\",\n  \"text\": \"Hello everyone! Welcome to my channel.\",\n  \"voice\": \"rachel\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.varg.ai/v2/speech")

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  \"model\": \"eleven_v3\",\n  \"text\": \"Hello everyone! Welcome to my channel.\",\n  \"voice\": \"rachel\"\n}"

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

{
  "id": "job_a1b2c3d4e5f6",
  "tool": "image",
  "input": {},
  "output": {
    "version": "<string>",
    "outputs": [
      {
        "url": "<string>",
        "file_id": "<string>",
        "media_type": "video/mp4",
        "size_bytes": 123,
        "thumbnail_url": "<string>"
      }
    ]
  },
  "error": {},
  "progress_message": "stitching 3/8 (40%)",
  "progress": 123,
  "progress_metadata": {},
  "estimated_duration_ms": 123,
  "estimated_cost_cents": 123,
  "actual_cost_cents": 123,
  "pricing": {
    "estimated": 123,
    "actual": 123,
    "billing": "<string>",
    "cached": true,
    "billed_units": {
      "images": 1
    },
    "pricing_id": "<string>"
  },
  "provider": "fal",
  "provider_model": "fal:flux_schnell",
  "provider_status": "<string>",
  "provider_job_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "started_at": "2023-11-07T05:31:56Z",
  "completed_at": "2023-11-07T05:31:56Z",
  "urls": {
    "self": "<string>",
    "status": "<string>",
    "refresh": "<string>",
    "cancel": "<string>",
    "retry": "<string>"
  }
}

{
  "id": "job_a1b2c3d4e5f6",
  "status": "queued",
  "tool": "image",
  "input": {
    "model": "flux_schnell",
    "prompt": "a cat astronaut"
  },
  "output": null,
  "error": null,
  "estimated_cost_cents": 4,
  "actual_cost_cents": null,
  "pricing": {
    "estimated": 4,
    "actual": null,
    "billing": "metered",
    "cached": null,
    "billed_units": null,
    "pricing_id": "ppr_abc123"
  },
  "provider": "fal",
  "provider_model": "fal:flux_schnell",
  "created_at": "2026-07-01T10:00:00Z",
  "urls": {
    "self": "https://api.varg.ai/v2/jobs/job_a1b2c3d4e5f6",
    "status": "https://api.varg.ai/v2/jobs/job_a1b2c3d4e5f6/status",
    "refresh": "https://api.varg.ai/v2/jobs/job_a1b2c3d4e5f6/refresh",
    "cancel": "https://api.varg.ai/v2/jobs/job_a1b2c3d4e5f6/cancel",
    "retry": "https://api.varg.ai/v2/jobs/job_a1b2c3d4e5f6/retry"
  }
}

{
  "error": {
    "code": "insufficient_balance",
    "message": "Insufficient balance to run this job"
  }
}

{
  "error": {
    "code": "model_not_found",
    "message": "Unknown model: flux-shnell"
  }
}

{
  "error": {
    "code": "invalid_request",
    "message": "Body validation failed (text: Required)"
  }
}

{
  "error": {
    "code": "model_not_found",
    "message": "Unknown model: flux-shnell",
    "details": "<unknown>"
  }
}

{
  "error": {
    "code": "model_not_found",
    "message": "Unknown model: flux-shnell",
    "details": "<unknown>"
  }
}