- Supports text-to-video and image-to-video (first-frame control)
- Supports two resolution tiers: 720P / 1080P
- Supports video durations of 3-15 seconds
- Supports multi-shot storyboards (expressed via a fixed-format prompt)
Request example
curl --request POST \
--url https://api.openveer.com/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "kling-3.0-turbo",
"prompt": "A corgi running on the beach, cinematic, golden-hour light",
"aspect_ratio": "16:9",
"resolution": "1080p",
"duration": 5
}'import requests
url = "https://api.openveer.com/v1/videos/generations"
payload = {
"model": "kling-3.0-turbo",
"prompt": "A corgi running on the beach, cinematic, golden-hour light",
"aspect_ratio": "16:9",
"resolution": "1080p",
"duration": 5
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())const url = "https://api.openveer.com/v1/videos/generations";
const payload = {
model: "kling-3.0-turbo",
prompt: "A corgi running on the beach, cinematic, golden-hour light",
aspect_ratio: "16:9",
resolution: "1080p",
duration: 5
};
const headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
};
fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));package main
import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)
func main() {
url := "https://api.openveer.com/v1/videos/generations"
payload := map[string]interface{}{
"model": "kling-3.0-turbo",
"prompt": "A corgi running on the beach, cinematic, golden-hour light",
"aspect_ratio": "16:9",
"resolution": "1080p",
"duration": 5,
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := ioutil.ReadAll(resp.Body)
fmt.Println(string(body))
}import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
String url = "https://api.openveer.com/v1/videos/generations";
String payload = """
{
"model": "kling-3.0-turbo",
"prompt": "A corgi running on the beach, cinematic, golden-hour light",
"aspect_ratio": "16:9",
"resolution": "1080p",
"duration": 5
}
""";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(url))
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> response = client.send(request,
HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}<?php
$url = "https://api.openveer.com/v1/videos/generations";
$payload = [
"model" => "kling-3.0-turbo",
"prompt" => "A corgi running on the beach, cinematic, golden-hour light",
"aspect_ratio" => "16:9",
"resolution" => "1080p",
"duration" => 5
];
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"Authorization: Bearer <token>",
"Content-Type: application/json"
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;
?>require 'net/http'
require 'json'
require 'uri'
url = URI("https://api.openveer.com/v1/videos/generations")
payload = {
model: "kling-3.0-turbo",
prompt: "A corgi running on the beach, cinematic, golden-hour light",
aspect_ratio: "16:9",
resolution: "1080p",
duration: 5
}
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 = payload.to_json
response = http.request(request)
puts response.bodyimport Foundation
let url = URL(string: "https://api.openveer.com/v1/videos/generations")!
let payload: [String: Any] = [
"model": "kling-3.0-turbo",
"prompt": "A corgi running on the beach, cinematic, golden-hour light",
"aspect_ratio": "16:9",
"resolution": "1080p",
"duration": 5
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: \(error)")
return
}
if let data = data, let responseString = String(data: data, encoding: .utf8) {
print(responseString)
}
}
task.resume()using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
var url = "https://api.openveer.com/v1/videos/generations";
var payload = @"{
""model"": ""kling-3.0-turbo"",
""prompt"": ""A corgi running on the beach, cinematic, golden-hour light"",
""aspect_ratio"": ""16:9"",
""resolution"": ""1080p"",
""duration"": 5
}";
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var response = await client.PostAsync(url, content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}Response example
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_xxxxxxxxxx"
}
]
}{
"error": {
"code": 400,
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}{
"error": {
"code": 401,
"message": "Authentication failed, please check your API key",
"type": "authentication_error"
}
}{
"error": {
"code": 402,
"message": "Insufficient account balance, please top up and try again",
"type": "payment_required"
}
}{
"error": {
"code": 429,
"message": "Too many requests, please try again later",
"type": "rate_limit_error"
}
}{
"error": {
"code": 500,
"message": "Internal server error, please try again later",
"type": "server_error"
}
}Authentication
Authorization stringAll endpoints require authentication using a Bearer Token
Get an API Key:
Visit the API Key management page to obtain your API Key
Add it to the request header when using it:
Authorization: Bearer YOUR_API_KEYRequest Parameters
model stringVideo generation model name
Supported models:
kling-3.0-turbo- Kling 3.0 Turbo
nsfw_check booleanWhether to run content moderation before submitting the video task.
true: useomni-moderation-latestto review prompts and input imagesfalseor omitted: do not send a moderation request, adding no moderation cost or latency (default)
prompt stringText prompt
The upstream limit is no more than 3072 characters; we recommend no more than 2500 characters.
Example: "A corgi running on the beach, cinematic, golden-hour light"
first_frame_image stringSupports an image URL or Base64.
Upstream limits for the first-frame image:
* Format: `.jpg` / `.jpeg` / `.png`
* Size: ≤ 50MB
* Width/height: ≥ 300px
* Aspect ratio: `1:2.5` \~ `2.5:1`
aspect_ratio stringVideo aspect ratio
Available values:
16:9- Landscape9:16- Portrait1:1- Square
Default value: 16:9
Only effective for text-to-video. This field has no effect for image-to-video; the video ratio is determined by the first-frame image.
resolution stringVideo resolution
Available values:
720p1080p
Default value: 720p
duration integerVideo duration (seconds)
Value range: 3-15 (minimum 3 seconds, maximum 15 seconds)
Default value: 5
⚠️ Note: You must enter a plain number (e.g. 6); do not add quotes, otherwise it will cause an error
watermark booleanWhether to add a watermark
Only passed to the upstream when explicitly provided; if omitted, no watermark is added.
Text-to-Video vs Image-to-Video
The system automatically determines the generation mode based on whether first_frame_image is provided: with a first-frame image it uses image-to-video, without one it uses text-to-video. Users do not need to declare it explicitly.
| Parameter | Text-to-Video | Image-to-Video |
|---|---|---|
prompt |
✅ Required | ✅ Optional (if empty, generated purely from the first-frame image) |
first_frame_image |
❌ Not passed | ✅ Required |
aspect_ratio |
✅ Optional | ❌ No effect (ratio determined by the first-frame image) |
resolution |
✅ Optional | ✅ Optional |
duration |
✅ Optional (3-15) | ✅ Optional (3-15) |
watermark |
✅ Optional | ✅ Optional |
Response
code integerResponse status code, 200 on success
data arraystatus stringTask status, submitted upon initial submission
task_id stringUnique task identifier, used to query the task status and result
Use Cases
Scenario 1: Text-to-Video (1080P)
{
"model": "kling-3.0-turbo",
"prompt": "A corgi running on the beach, cinematic, golden-hour light",
"aspect_ratio": "16:9",
"resolution": "1080p",
"duration": 5
}Scenario 2: Text-to-Video (Portrait 720P)
{
"model": "kling-3.0-turbo",
"prompt": "Shibuya crossing in Tokyo, neon lights on a rainy night reflecting on the wet ground, pedestrians walking through with umbrellas",
"aspect_ratio": "9:16",
"resolution": "720p",
"duration": 10
}Scenario 3: Image-to-Video (First-Frame Image)
{
"model": "kling-3.0-turbo",
"prompt": "The camera slowly pushes in, the character smiles",
"first_frame_image": "https://cdn.example.com/first.jpg",
"resolution": "720p",
"duration": 5
}Scenario 4: Image-to-Video from First Frame Only (No Prompt)
{
"model": "kling-3.0-turbo",
"first_frame_image": "https://cdn.example.com/first.jpg",
"resolution": "1080p",
"duration": 5
}Scenario 5: Multi-Shot Storyboard (Text-to-Video)
{
"model": "kling-3.0-turbo",
"prompt": "Shot 1,2,a corgi running on the beach;Shot 2,3,the camera pushes in on the character smiling;",
"aspect_ratio": "16:9",
"resolution": "1080p",
"duration": 5
}Querying the Task Result
Video generation is an asynchronous task; after submission a task_id is returned. Use the Get Task Status endpoint to query the generation progress and result.
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