Name: Veo 3 Text to Video API
Brand: Google

Overview

What is Veo 3 Text to Video API?

Veo3 is Google's advanced video generation model that creates high-quality videos with synchronized audio from text.

Technical Specifications
- Supported inputs: Text
- Output: Video

Performance Benchmarks
[embed]

Veo 3 Text to Video API Pricing
- Pricing on request

Where to Use Veo 3 Text to Video

Short-form video generation
Create clips for social, ads, and product demos from text or image prompts.

Previsualization and storyboards
Rapidly prototype motion concepts before committing to production.

Use cases

Veo 3 is documented for content creation and marketing use, including social media ads, promotional clips, and brand content.

It is documented for product demonstrations, such as creating product showcase videos and demo reels without physical video shoots.

It is documented for education and e-learning, including animated explainers, training modules, and visual explanations of complex topics.

It is also documented for previsualization and creative development, including storyboarding, cinematic prototyping, and testing visual concepts before full production.

How to use Veo 3 Text to Video API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to google/veo3.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "google/veo3",
      "prompt": "A serene timelapse of clouds over a mountain range"
    },
).json()
gid = job["id"]

while True:
    res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json()
    if res.get("status") in ("completed", "error"):
        break
    time.sleep(5)
print(res["video"]["url"])

const headers = {
  Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
  "Content-Type": "application/json",
};
const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model": "google/veo3",
    "prompt": "A serene timelapse of clouds over a mountain range"
  }),
})).json();

let res;
do {
  await new Promise((r) => setTimeout(r, 5000));
  res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json();
} while (!["completed", "error"].includes(res.status));
console.log(res.video.url);

# submit the generation — the response contains the job "id"
curl -X POST https://api.aimlapi.com/v2/video/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/veo3","prompt":"A serene timelapse of clouds over a mountain range"}'

# then poll until status is "completed" — video.url holds the result
curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"

OpenAI-compatible — swap the base URL and it works with your existing SDK.