Veo 2
Provider list prices: no platform markup, pay-as-you-go. These are official list prices. Logged-in customers may see effective prices including workspace discounts on /console/pricing.
Use Veo 2 in 30 seconds
Asynchronous job API: create a task and poll it, or hold the request open with Prefer: wait. POST /v1/videos
import time
import requests
BASE = "https://synthorai.io/v1"
HEADERS = {"Authorization": "Bearer sk-syn-..."}
# 1) create the video generation job (POST /v1/videos)
task = requests.post(
f"{BASE}/videos",
headers=HEADERS,
json={
"model": "veo-2.0-generate-001",
"prompt": "a watercolor lighthouse at dawn, waves rolling in, camera pulling back",
"resolution": "720p",
"duration": 5,
},
).json()
# 2) poll the job until it reaches a terminal state
while task["status"] in ("queued", "in_progress"):
time.sleep(5)
task = requests.get(f"{BASE}/videos/{task['id']}", headers=HEADERS).json()
# 3) completed → signed video URL (valid ~24h — download and store it promptly)
if task["status"] == "completed":
print(task["data"][0]["url"])
else:
print(task["error"])const HEADERS = {
Authorization: "Bearer sk-syn-...",
"Content-Type": "application/json",
};
interface VideoTask {
id: string;
status: "queued" | "in_progress" | "completed" | "failed" | "cancelled";
data?: Array<{ url: string }>;
error?: { code: string; message: string };
}
// 1) create the video generation job (POST /v1/videos)
const created = await fetch("https://synthorai.io/v1/videos", {
method: "POST",
headers: HEADERS,
body: JSON.stringify({
model: "veo-2.0-generate-001",
prompt: "a watercolor lighthouse at dawn, waves rolling in, camera pulling back",
resolution: "720p",
duration: 5,
}),
});
let task = (await created.json()) as VideoTask;
// 2) poll the job until it reaches a terminal state
while (task.status === "queued" || task.status === "in_progress") {
await new Promise((r) => setTimeout(r, 5000));
const res = await fetch(`https://synthorai.io/v1/videos/${task.id}`, { headers: HEADERS });
task = (await res.json()) as VideoTask;
}
// 3) completed → signed video URL (valid ~24h — download and store it promptly)
if (task.status === "completed") console.log(task.data?.[0]?.url);
else console.error(task.error);# Create the job; "Prefer: wait" holds the request up to 60s and returns the
# completed task when generation finishes in time (else the queued task).
curl https://synthorai.io/v1/videos \
-H "Authorization: Bearer sk-syn-..." \
-H "Content-Type: application/json" \
-H "Prefer: wait=60" \
-d '{
"model": "veo-2.0-generate-001",
"prompt": "a watercolor lighthouse at dawn, waves rolling in, camera pulling back",
"resolution": "720p",
"duration": 5
}'
# Still queued / in_progress? Poll until completed → data[0].url (valid ~24h).
curl https://synthorai.io/v1/videos/vid_9f2e8c1a4b7d \
-H "Authorization: Bearer sk-syn-..."package main
import (
"bytes"
"encoding/json"
"fmt"
"net/http"
"time"
)
const base = "https://synthorai.io/v1"
type videoTask struct {
ID string `json:"id"`
Status string `json:"status"`
Data []struct {
URL string `json:"url"`
} `json:"data"`
}
func call(method, url string, body []byte) (t videoTask) {
req, _ := http.NewRequest(method, url, bytes.NewReader(body))
req.Header.Set("Authorization", "Bearer sk-syn-...")
req.Header.Set("Content-Type", "application/json")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
json.NewDecoder(resp.Body).Decode(&t)
return t
}
func main() {
// 1) create the video generation job (POST /v1/videos)
payload, _ := json.Marshal(map[string]any{
"model": "veo-2.0-generate-001",
"prompt": "a watercolor lighthouse at dawn, waves rolling in, camera pulling back",
"resolution": "720p",
"duration": 5,
})
task := call("POST", base+"/videos", payload)
// 2) poll the job until it reaches a terminal state
for task.Status == "queued" || task.Status == "in_progress" {
time.Sleep(5 * time.Second)
task = call("GET", base+"/videos/"+task.ID, nil)
}
// 3) completed → signed video URL (valid ~24h — download and store promptly)
if task.Status == "completed" {
fmt.Println(task.Data[0].URL)
}
}import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
// JDK built-in HttpClient — no extra dependency needed.
HttpClient http = HttpClient.newHttpClient();
// 1) create the job; "Prefer: wait=60" holds the request up to 60s and
// returns the completed task when generation finishes in time
HttpRequest create = HttpRequest.newBuilder(URI.create("https://synthorai.io/v1/videos"))
.header("Authorization", "Bearer sk-syn-...")
.header("Content-Type", "application/json")
.header("Prefer", "wait=60")
.POST(HttpRequest.BodyPublishers.ofString("""
{"model": "veo-2.0-generate-001",
"prompt": "a watercolor lighthouse at dawn, waves rolling in, camera pulling back",
"resolution": "720p", "duration": 5}"""))
.build();
String task = http.send(create, HttpResponse.BodyHandlers.ofString()).body();
System.out.println(task); // {"id":"vid_…","status":…} — completed → data[0].url
// 2) still queued / in_progress? Poll GET https://synthorai.io/v1/videos/{id} until the
// status turns completed, then download data[0].url (valid ~24h).About Veo 2
Veo 2 is Google's legacy generally-available video model, announced in December 2024, before native audio joined the Veo line.
- It generates silent .mp4 clips from a text prompt or a single first-frame image at 720p, 24 fps, 5 to 8 seconds long, in 16:9 or 9:16 — with no audio track and no last-frame or reference-image input, all of which arrive in the Veo 3.x generations.
- Google now lists Veo 3.1 as the recommended replacement, but Veo 2 remains available for existing workflows and cost-sensitive silent output.
- Synthorai serves it through the asynchronous /v1/videos job API — create a task and poll it, or use Prefer: wait for short jobs — and bills per output second (the upstream returns no usage, so duration is metered from the request).
Specs & limits
| Modalities | text + image → video |
| Features | vision |
| Resolution | 720p |
| Clip length | 5–8 s |
| Frame rate | 24 fps |
| Aspect ratios | 16:9 · 9:16 |
| Video inputs | text-to-video · first-frame image-to-video (single image) |
| Format | .mp4 |
| Notable | Google's legacy Veo 2 GA video model (announced December 2024, before native audio joined the Veo line): silent 720p output only, text-to-video plus single first-frame image-to-video, 24 fps, 5-8 s, 16:9 and 9:16; no audio track and no last-frame or reference-image input (those arrive in the Veo 3.x generations). Google now lists Veo 3.1 as the recommended replacement. Synthorai serves it via the async /v1/videos job API and bills per output second (upstream returns no usage, so duration is metered from the request). |
FAQ
Is the Veo 2 API free to try?
Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. That's enough to try Veo 2 against your real workload before adding a payment method.
What is Veo 2 best at?
Legacy GA model, silent 720p output, plus text- and single-image-to-video and 5-8 seconds at 24 fps. See the About section for the full picture from the vendor's own release notes.
How much does Veo 2 cost?
Veo 2 costs $0.5 per second of generated video on Synthorai. Only successful generations are billed: pay-as-you-go, no platform markup, no subscription.
How do I generate videos with the Veo 2 API?
POST to /v1/videos on Synthorai with model="veo-2.0-generate-001" to create an asynchronous job, then poll the task — or hold the request open with a Prefer: wait header — until the video URL is ready. No vendor SDK is needed.
How do I get access to Veo 2?
Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="veo-2.0-generate-001", and you're done. One API key covers every model on the gateway.