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FlaqAI/video-upscaler
video-upscaler
Upscale uploaded videos to 720p, 1080p, 2K, or 4K with the Flaq AI Video Upscaler API and transparent resolution-based per-second pricing. Use it on Flaq AI for clearer, production-ready video.
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',
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',
'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",
"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 Pricing
| Parameters | Price | Original Price | Discount |
|---|
README
Affordable Video Upscaler API for Flexible Resolution Enhancement
Flaq AI Video Upscaler API provides a straightforward way to increase video output resolution through a hosted API workflow. Submit an existing video, select a supported target resolution, and receive an upscaled result that keeps the source aspect ratio. The standard Video Upscaler model is the cost-conscious option for developers and teams that need repeatable video upscaling without managing a local processing stack.
Key Features of Video Upscaler API
- Multiple Target Resolutions: Prepare video outputs across several common resolution tiers, including options up to 4K, from one consistent API integration.
- Source-Driven Aspect Ratio: Preserve the input video's aspect ratio automatically instead of cropping or reframing it through a separate ratio setting.
- Simple Video-to-Video Workflow: Provide a source video and target resolution without writing prompts or configuring generative video controls.
- Cost-Conscious Processing: Use the standard variant for workflows where affordable per-second video upscaling is an important selection factor.
- Task-Based API Integration: Submit processing jobs and retrieve completed video results through the existing Flaq AI video task workflow.
- Practical Production Controls: Choose the output resolution for each request while keeping the rest of the workflow intentionally focused on upscaling.
How to Use Video Upscaler API on Flaq AI
- Input: An existing video supplied through a supported video URL.
- Output: An upscaled video at the selected target resolution.
- Resolution: Multiple output tiers are available, ranging from HD options to 4K.
- Aspect Ratio: The output follows the source video's aspect ratio and does not expose a separate ratio control.
- Capabilities: Hosted video resolution upscaling through a focused video-to-video API workflow.
Best Use Cases for Video Upscaler API Integration
- Social Media Asset Preparation: Increase the delivery resolution of existing clips before publishing them across social and content platforms.
- Marketing Video Reuse: Prepare older campaign footage for layouts or channels that require a higher-resolution output file.
- Product Demo Delivery: Upscale existing product walkthroughs, interface recordings, and promotional clips for higher-resolution presentation.
- Archive and Catalog Processing: Standardize selected video assets into a preferred output resolution through repeatable API requests.
- Cost-Sensitive Batch Workflows: Process multiple videos with the standard model when keeping per-second usage costs controlled is a priority.
Note Upscaling increases output resolution but cannot guarantee recovery of detail that is absent from the source. Results vary with compression, motion, noise, and source quality, so review important outputs before production use.
Video Upscaler vs Alternatives: Comparative Analysis
-
Video Upscaler vs. Video Upscaler Pro Both Flaq AI variants accept video input, retain the source aspect ratio, and offer the same target-resolution choices. Video Upscaler is the lower-cost option, while Video Upscaler Pro is positioned for workflows that prioritize the Pro processing tier.
-
Video Upscaler vs. Desktop Video Editors Desktop editors combine upscaling with timelines and manual post-production tools. Video Upscaler API focuses on programmatic resolution enhancement for applications and automated pipelines.
-
Video Upscaler vs. Self-Hosted Upscaling Tools Self-hosted tools can provide infrastructure-level customization but require deployment and compute management. Flaq AI provides a hosted task API for teams that prefer not to operate the processing environment themselves.
-
Video Upscaler vs. AI Video Generators Generative video models create or transform scene content from prompts. Video Upscaler is intended to process an existing clip while preserving its source framing rather than generating a new scene.
-
Video Upscaler vs. Simple File Re-encoding Re-encoding changes delivery settings and may change frame dimensions, but it does not necessarily provide the same upscaling workflow. Choose based on whether the task is format conversion or resolution enhancement.
Use the Video Upscaler 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.
