Text to Image
Create AI images from text prompts
Google/veo3.1-text-to-video
veo3.1-text-to-video
Cinematic video generation by Veo 3.1 API with native audio, stunning realism. High frame rates, stable performance at competitive pricing for professional use. Built for free testing and stable API workflows.
Text to Video
Related Veo3 1 Models
API Examples
Submit Example
// Step 1: Submit generation request
const response = await fetch('https://api.flaq.ai/api/v1/video/task', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
body: JSON.stringify({
model_name: 'veo3.1-text-to-video',
prompt: 'A time-lapse of a flower blooming in a garden'
})
});
const { data } = await response.json();
const taskId = data.task_id;
Polling Example
// Step 2: Poll for results
const taskId = data.task_id;
const pollResult = async (taskId) => {
const res = await fetch(`https://api.flaq.ai/api/v1/video/${taskId}`, {
headers: { 'Authorization': 'Bearer YOUR_API_KEY' }
});
return res.json();
};
while (true) {
const pollResultData = await pollResult(taskId);
const status = pollResultData.data.task_status;
if (status === 'succeed') {
console.log(pollResultData.data.task_result.videos[0].url);
break;
}
if (status === 'failed') {
console.error(pollResultData.data.task_status_msg);
break;
}
await new Promise(resolve => setTimeout(resolve, 10000));
}
Submit Example
# Step 1: Submit generation request
import requests
response = requests.post(
'https://api.flaq.ai/api/v1/video/task',
headers={
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
json={
'model_name': 'veo3.1-text-to-video',
'prompt': 'A time-lapse of a flower blooming in a garden'
}
)
result = response.json()
task_id = result['data']['task_id']
Polling Example
# Step 2: Poll for results
task_id = response.json()['data']['task_id']
poll_url = f"https://api.flaq.ai/api/v1/video/{task_id}"
while True:
poll_result = requests.get(poll_url, headers={'Authorization': 'Bearer YOUR_API_KEY'}).json()
status = poll_result['data']['task_status']
if status == 'succeed':
print(poll_result['data']['task_result']['videos'][0]['url'])
break
if status == 'failed':
print(poll_result['data']['task_status_msg'])
break
time.sleep(10)
Submit Example
# Step 1: Submit generation request
curl -X POST https://api.flaq.ai/api/v1/video/task \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model_name": "veo3.1-text-to-video",
"prompt": "A time-lapse of a flower blooming in a garden"
}'
Polling Example
# Step 2: Poll for results
# Replace {task_id} with the task_id returned from the submit response
curl -X GET "https://api.flaq.ai/api/v1/video/{task_id}" \
-H "Authorization: Bearer YOUR_API_KEY"
Try the AI Video Generator now
Veo 3.1 Text to Video Pricing
| Parameters | Price | Original Price | Discount |
|---|
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Premium Veo 3.1 Text-to-Video API (Google's Advanced Video Generation)
Google Veo 3.1 Text-to-Video API delivers production-grade AI video generation for developers and creative teams. This premium video generation API integration enables you to transform complex narrative visions into cinematic reality through intuitive text-to-video generation. Built on Google DeepMind's cutting-edge video synthesis research, Veo 3.1 combines advanced temporal coherence with flexible API integration for professional-grade output.
Key Features of Veo 3.1 Text-to-Video API
- High-Fidelity Video Generation: Produce crisp, production-ready videos with stunning visual clarity, realistic textures, and smooth motion through premium Veo API integration.
- Advanced Temporal Coherence: Generate videos with superior frame-to-frame consistency, eliminating flickering and maintaining stable object identity throughout the sequence using Google's advanced video synthesis model.
- Context-Aware Scene Understanding: Create scenes that accurately reflect complex descriptions. The Veo 3.1 model understands object relationships, physics, lighting dynamics, and environmental logic for cohesive cinematic output.
- Professional Cinematography Controls: Command the visual narrative with API support for camera movements including pans, zooms, tilts, dolly shots, and aerial perspectives with cinematic precision.
- Flexible Aspect Ratio Support: API supports 16:9 landscape and 9:16 vertical formats, optimized for everything from cinematic productions to social media content.
- Extended Scene Coherence: Maintain narrative and visual logic across extended video sequences with superior long-form consistency.
How to Use Veo 3.1 Text-to-Video API for Professional Video Generation on Flaq AI
- Input: Natural language text prompts with detailed scene descriptions (supports cinematography terminology like "aerial shot," "dolly zoom," "timelapse")
- Output: High-quality videos (MP4 format) via premium Veo API integration
- Aspect Ratios: 2 supported formats - 16:9 (landscape) and 9:16 (vertical/portrait)
- Duration: Professional-length video clips with extended temporal coherence
- Capabilities: Text-to-video synthesis, cinematic camera movements, physics-aware motion, and complex multi-object scene composition through Veo API.
Best Use Cases for Veo 3.1 Text-to-Video API Integration
- Film & Media Production: Generate high-quality storyboards, concept visualizations, and pre-production animatics to accelerate creative development pipelines using premium Veo API.
- Marketing & Advertising Campaigns: Create compelling video ads, product showcases, and social media content with cinematic quality through professional-grade API integration.
- Content Creation & Social Media: Produce engaging short-form video for YouTube, TikTok, and Instagram with minimal effort using Veo 3.1's intuitive text-to-video generation.
- Game Development & Visualization: Quickly prototype cutscenes, character animations, and environmental effects for game narratives and interactive experiences.
Note Please ensure your prompts comply with Google's Safety Guidelines. If an error occurs, review your prompt for restricted content, adjust it, and try again.
Veo 3.1 Text-to-Video vs Competitors: Comparative Analysis
-
Veo 3.1 Text-to-Video vs. Sora (OpenAI)
While Sora emphasizes world-simulation capabilities and extended duration, Veo 3.1 Text-to-Video API focuses on production-ready quality with superior temporal stability. Powered by Google DeepMind's research, it delivers professional cinematography controls ideal for immediate production use. -
Veo 3.1 Text-to-Video vs. Runway Gen-3 Alpha
Runway Gen-3 Alpha excels in creative artistic control and rapid generation speed. Veo 3.1 Text-to-Video API distinguishes itself with advanced prompt understanding and superior long-form coherence, making it the preferred choice for narrative-driven professional video production. -
Veo 3.1 Text-to-Video vs. Pika 2.0
Pika 2.0 is popular for stylized, animation-friendly outputs and ease of use. Veo 3.1 Text-to-Video API is positioned as a professional-grade solution, targeting users who require photorealistic textures, complex cinematic lighting, and strong temporal coherence for production workflows. -
Veo 3.1 Text-to-Video vs. Kling AI
Kling AI is strong in realistic human motion and character animation. Veo 3.1 Text-to-Video API counters with broader environmental rendering capabilities and superior cinematography controls, making it versatile for diverse genres from documentaries to sci-fi. -
Veo 3.1 Text-to-Video vs. Luma Dream Machine
Luma Dream Machine is celebrated for rapid generation and intuitive interface. Veo 3.1 Text-to-Video API trades generation speed for significantly higher detail density and more refined camera-style parameters for professional-grade results through Google's advanced API integration.
Use the Veo 3.1 Text to Video Model Directly in Powerful AI Tools
Explore several AI creation tools for quick image and video workflows in your browser, then scale successful ideas with Flaq AI's production-ready model APIs. Flaq AI provides a unified API layer for all models, making it easy to use and scale your workflows.
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