- Supports text-to-video, image-to-video (first frame/first-last frame control)
- Supports standard mode (720P) and professional mode (1080P)
- Professional mode supports automatic audio generation and voice selection
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-v2-6",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}'import requests
url = "https://api.openveer.com/v1/videos/generations"
payload = {
"model": "kling-v2-6",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
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-v2-6",
prompt: "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
mode: "std",
duration: 5,
aspect_ratio: "16:9"
};
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-v2-6",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9",
}
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-v2-6",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
""";
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-v2-6",
"prompt" => "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode" => "std",
"duration" => 5,
"aspect_ratio" => "16:9"
];
$ch = curl_init($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-v2-6",
prompt: "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
mode: "std",
duration: 5,
aspect_ratio: "16:9"
}
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-v2-6",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
]
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-v2-6"",
""prompt"": ""A golden cat running on a sunlit meadow, slow motion, cinematic quality"",
""mode"": ""std"",
""duration"": 5,
""aspect_ratio"": ""16:9""
}";
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": "Invalid authentication credentials",
"type": "authentication_error"
}
}{
"error": {
"code": 402,
"message": "Insufficient balance. Please top up your account",
"type": "payment_required"
}
}{
"error": {
"code": 429,
"message": "Rate limit exceeded. Please try again later",
"type": "rate_limit_error"
}
}{
"error": {
"code": 500,
"message": "Internal server error. Please try again later",
"type": "server_error"
}
}Authorization
Authorization stringAll API endpoints require Bearer Token authentication
Get your API Key:
Visit the API Key Management Page to get your API Key
Add it to the request header:
Authorization: Bearer YOUR_API_KEYRequest Parameters
model stringVideo generation model name
Supported models:
kling-v2-6- Kling v2.6 (recommended)
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, maximum 2500 characters
Describe scenes, actions, styles in detail for better generation results
Example: "A golden cat running on a sunlit meadow, slow motion, cinematic quality"
mode stringGeneration mode
Options:
std- Standard mode (720P, silent video only)pro- Professional mode (1080P, supports automatic audio generation)
Default: std
Standard mode limitation: std mode only supports silent video. audio parameter requires pro mode.
duration integerVideo duration (seconds)
Options: 5 or 10
Default: 5
aspect_ratio stringVideo aspect ratio
Options:
16:9- Landscape9:16- Portrait1:1- Square
Default: 16:9
negative_prompt stringNegative prompt to exclude unwanted content
Example: "blurry, low quality, distorted"
image_urls string">
Image URL array for image-to-video generation
- Pass 1 image: used as first frame
- Pass 2 images: automatically assigned as first frame + last frame (requires
mode: "pro")
Maximum 2 images supported
Example: ["https://example.com/first.jpg"]
* Maximum 2 images supported
* Last frame (2 images) requires pro mode only; std mode only supports first frame (1 image)
* Last frame and audio are mutually exclusive: In pro mode, last frame (2 images) and audio (audio: true) cannot be used together
* In image-to-video mode, aspect_ratio may be overridden by the actual image ratio
audio booleanWhether to automatically generate audio
Default: false
* Only available in mode: "pro"
* Mutually exclusive with last frame: Audio cannot be used together with last frame (2 images)
watermark booleanWhether to add watermark
Feature Support Matrix
| Type | Feature | std 5s | std 10s | pro 5s | pro 10s |
|---|---|---|---|---|---|
| Text-to-Video | Generation | ✅ (silent only) | ✅ (silent only) | ✅ | ✅ |
| Text-to-Video | Auto Audio | - | - | ✅ | ✅ |
| Image-to-Video | Generation | ✅ (silent only) | ✅ (silent only) | ✅ | ✅ |
| Image-to-Video | First Frame | ✅ | ✅ | ✅ | ✅ |
| Image-to-Video | Last Frame | - | - | ✅ | ✅ |
| Image-to-Video | Auto Audio | - | - | ✅ | ✅ |
Note: In
promode, last frame and audio control are mutually exclusive and cannot be used together.
Text-to-Video vs Image-to-Video
The system automatically determines the mode based on whether image_urls is provided: no images means text-to-video, with images means image-to-video.
| Parameter | Text-to-Video | Image-to-Video |
|---|---|---|
prompt |
✅ Required | ✅ Required |
image_urls |
❌ Not used | ✅ Required (1-2 images, last frame needs pro) |
negative_prompt |
✅ Optional | ✅ Optional |
mode |
✅ Optional | ✅ Optional |
duration |
✅ Optional | ✅ Optional |
aspect_ratio |
✅ Optional | ⚠️ May be overridden by image ratio |
audio |
✅ Optional (needs pro) |
✅ Optional (needs pro) |
watermark |
✅ Optional | ✅ Optional |
Response
code integerResponse status code, 200 on success
data arraystatus stringTask status, submitted when initially submitted
task_id stringUnique task identifier for querying task status and results
Use Cases
Case 1: Text-to-Video (Standard Mode)
{
"model": "kling-v2-6",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}Case 2: Text-to-Video (Pro Mode + Negative Prompt)
{
"model": "kling-v2-6",
"prompt": "Tokyo Shibuya crossing at night, neon lights reflected on wet ground, people walking with umbrellas",
"negative_prompt": "blurry, low quality, distorted",
"mode": "pro",
"duration": 10,
"aspect_ratio": "16:9"
}Case 3: Image-to-Video (First Frame)
{
"model": "kling-v2-6",
"prompt": "The person in the frame turns and smiles",
"image_urls": ["https://example.com/portrait.jpg"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}Case 4: Image-to-Video (First + Last Frame Control)
{
"model": "kling-v2-6",
"prompt": "City timelapse transitioning from day to night",
"image_urls": ["https://example.com/day-city.jpg", "https://example.com/night-city.jpg"],
"mode": "pro",
"duration": 5
}Case 5: Pro Mode + Auto Audio
{
"model": "kling-v2-6",
"prompt": "Waves crashing against rocks, seagulls circling in the sky, lighthouse in the distance",
"mode": "pro",
"duration": 10,
"audio": true,
"aspect_ratio": "16:9"
}Query Task Results
Video generation is an async task that returns a task_id upon submission. Use the Get Task Status endpoint to query generation progress and results.
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