Name: Veo 3 Text to Video Fast API
Brand: Google

Overview

What is Veo 3 Text to Video Fast API?

Veo3 Fast generates videos from text prompts at faster speeds, optimized for high-throughput creative workflows.

Technical Specifications
- Supported inputs: Text
- Output: Video

Performance Benchmarks
[embed]

Veo 3 Text to Video Fast API Pricing
- Pricing on request

Where to Use Veo 3 Text to Video Fast

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

Google documents Veo 3 Fast as suited for quickly generating and testing variations of ad concepts to respond to market trends. It is also described as useful for efficiently creating video demonstrations for entire product catalogs from still images.

The model is documented as a fit for developing engaging animated explainers and training modules in less time. Google also says it is ideal for backend services that programmatically generate ads, rapid A/B testing of creative concepts, and apps that need to quickly produce social media content.

How to use Veo 3 Text to Video Fast API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to google/veo-3.0-fast.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "google/veo-3.0-fast",
      "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/veo-3.0-fast",
    "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/veo-3.0-fast","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.