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FlaqAI/video-upscaler-pro
video-upscaler-pro
Use Video Upscaler Pro API to enhance uploaded videos to 720p, 1080p, 2K, or 4K with premium processing and resolution-based per-second pricing. Try it free for polished, high-resolution results.
Video Upscaler
API Examples
Submit Example
const response = await fetch('https://api.flaq.ai/api/v1/video/task', {
method: 'POST',
headers: {
Authorization: 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model_name: 'video-upscaler-pro',
video_url: 'https://example.com/source-video.mp4',
target_resolution: '4k'
})
});
const result = await response.json();
console.log(result.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
import requests
response = requests.post(
'https://api.flaq.ai/api/v1/video/task',
headers={
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json',
},
json={
'model_name': 'video-upscaler-pro',
'video_url': 'https://example.com/source-video.mp4',
'target_resolution': '4k',
},
)
response.raise_for_status()
result = response.json()
print(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
curl -X POST "https://api.flaq.ai/api/v1/video/task" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model_name": "video-upscaler-pro",
"video_url": "https://example.com/source-video.mp4",
"target_resolution": "4k"
}'
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
Video Upscaler Pro Pricing
| Parameters | Price | Original Price | Discount |
|---|
README
Video Upscaler Pro API for Quality-Focused Resolution Enhancement
Flaq AI Video Upscaler Pro API is the Pro-tier option for increasing the output resolution of existing videos through a hosted workflow. Developers can submit a video, select a supported target resolution, and receive a processed result that follows the source aspect ratio. It is designed for teams that want the Pro processing tier while keeping integration limited to clear video input and resolution controls.
Key Features of Video Upscaler Pro API
- Pro-Tier Video Upscaling: Access Flaq AI's quality-focused upscaling variant for projects where the processing tier matters more than minimizing usage cost.
- Multiple Target Resolutions: Select from common output resolution tiers, including options up to 4K, according to the delivery requirements of each video.
- Source-Driven Aspect Ratio: Keep the source video's aspect ratio automatically without a separate crop or output-ratio setting.
- Focused Video Input Workflow: Submit an existing video and target resolution without prompts, reference frames, or generative scene controls.
- Task-Based API Integration: Run Pro upscaling through the same asynchronous Flaq AI video task workflow used for application and pipeline integration.
- Per-Request Resolution Control: Choose an appropriate output tier for each source instead of applying one fixed setting across every job.
How to Use Video Upscaler Pro API on Flaq AI
- Input: An existing video supplied through a supported video URL.
- Output: A Pro-tier upscaled video at the selected target resolution.
- Resolution: Multiple output tiers are available, from HD formats through 4K.
- Aspect Ratio: The processed output follows the source video's aspect ratio.
- Capabilities: Hosted video resolution upscaling using the Flaq AI Pro processing variant.
Best Use Cases for Video Upscaler Pro API Integration
- Premium Marketing Deliverables: Prepare important campaign footage for higher-resolution delivery while using the Pro processing tier.
- Product and Brand Videos: Upscale existing product demonstrations, launch assets, and branded clips for presentation on larger displays.
- Client-Facing Content: Process selected videos where teams prefer the Pro option before review, approval, or final distribution.
- Archive Reuse Workflows: Prepare older footage for modern delivery resolutions while retaining the original framing.
- Automated Media Pipelines: Add quality-focused upscaling to applications that already manage video ingestion, job polling, and result delivery.
Note The Pro tier does not guarantee that every source will gain new visible detail. Compression artifacts, blur, noise, and motion in the input can affect the result; test representative footage and review critical outputs before delivery.
Video Upscaler Pro vs Alternatives: Comparative Analysis
-
Video Upscaler Pro vs. Video Upscaler The two Flaq AI variants expose the same input type, source-driven aspect ratio, and target-resolution controls. Pro is positioned as the quality-focused tier, while the standard model is more suitable when lower usage cost is the main priority.
-
Video Upscaler Pro vs. Desktop Video Editors Desktop software offers timelines, effects, and hands-on export settings. Video Upscaler Pro API is suited to programmatic jobs that need a focused hosted upscaling step.
-
Video Upscaler Pro vs. Self-Hosted Upscaling Pipelines A self-hosted pipeline may allow deeper infrastructure customization but requires compute capacity and maintenance. The Flaq AI API provides managed task submission and result retrieval.
-
Video Upscaler Pro vs. Generative Video Enhancement Generative tools may alter or recreate scene content. Video Upscaler Pro is intended for resolution enhancement of an existing video and retains the input's aspect ratio.
-
Video Upscaler Pro vs. Standard Re-encoding Standard re-encoding is useful for codec, bitrate, or container changes. Use Video Upscaler Pro when the workflow specifically calls for the Pro resolution-upscaling tier rather than only a new file encoding.
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