Video Upscaler
Playground
Try it on WavespeedAI!The AI Video Upscaler is a powerful tool designed to enhance the resolution and quality of videos. Whether you’re working with low-resolution videos that need a boost or aiming to improve the clarity of existing footage, this upscaler leverages advanced machine learning models to deliver high-quality, upscaled videos.
Features
AI Video Upscaler (Fast Version)
Upscale videos to 720p, 1080p, 2K, or 4K with a simple upload. Optimized for clarity, detail fidelity, and flicker-free temporal consistency — all with faster turnaround times. No local setup required.
Looking for the absolute best quality?
Try our Flagship Video Upscaler Pro for maximum detail and fidelity.
Why it looks great
- Temporal consistency: minimizes flicker and ghosting across frames for stable motion.
- Detail reconstruction: restores fine textures (hair, fabric, foliage) and sharp edges without over-sharpening.
- Artifact cleanup: reduces compression blocks, ringing, and shimmering in challenging shots.
- Motion-aware upscaling: preserves fast action and camera pans with fewer motion artifacts.
- Natural look: balances perceptual quality with crispness to avoid plastic or overprocessed outputs.
Limits and Performance
- Max clip length per job: up to 10 minutes
- Processing speed: approximately 5–10 seconds of wall time to process 1 second of video (varies by resolution and queue load)
Pricing
Per-second billing with a 5-second minimum. The table below lists prices per 5 seconds for easy comparison.
Output Resolution | Cost per 5 seconds |
---|---|
720p | $0.025 |
1080p | $0.025 |
2K | $0.05 |
4K | $0.10 |
Billing Rules
- Minimum charge: 5 seconds
- Per-second rate = (price per 5 seconds) ÷ 5
- Billed duration = video length in seconds (rounded up), with a 5-second minimum
- Total cost = billed duration × per-second rate (by output resolution)
Examples
- 3.2s @ 1080p → billed as 5s minimum → 5 × $0.005 = $0.025
- 12s @ 1080p → 12 × $0.005 = $0.06
- 23s @ 2K → per-second $0.01 → 23 × $0.01 = $0.23
- 2m01s (121s) @ 4K → per-second $0.02 → 121 × $0.02 = $2.42
How to Use
- Choose the target resolution and parameters.
- Upload your video (≤ 10 minutes).
- Submit the job and wait for processing.
- Preview and download the result.
Pro tips for best quality
- Upload the highest-quality source you have; avoid heavily compressed inputs when possible.
- Keep original frame rate; avoid unnecessary re-encoding before upload.
- Pick the lowest resolution that meets your delivery needs (1080p = speed/cost, 2K/4K = maximum detail).
- For long videos, process in segments to parallelize and then merge.
Notes
- Actual processing time may vary based on resolution, model choice, and current queue.
- For videos longer than 10 minutes, split into multiple segments, process separately, and merge afterward.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/video-upscaler" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"video": "",
"target_resolution": "1080p",
"copy_audio": true
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
Parameter | Type | Required | Default | Range | Description |
---|---|---|---|---|---|
video | string | Yes | - | The video to upscale. | |
target_resolution | string | No | 1080p | 720p, 1080p, 2k, 4k | Target resolution to upscale to. |
copy_audio | boolean | No | true | - | Whether to copy the original video's audio to the upscaled video. |
Response Parameters
Parameter | Type | Description |
---|---|---|
code | integer | HTTP status code (e.g., 200 for success) |
message | string | Status message (e.g., “success”) |
data.id | string | Unique identifier for the prediction, Task Id |
data.model | string | Model ID used for the prediction |
data.outputs | array | Array of URLs to the generated content (empty when status is not completed ) |
data.urls | object | Object containing related API endpoints |
data.urls.get | string | URL to retrieve the prediction result |
data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
data.status | string | Status of the task: created , processing , completed , or failed |
data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
data.error | string | Error message (empty if no error occurred) |
data.timings | object | Object containing timing details |
data.timings.inference | integer | Inference time in milliseconds |
Result Query Parameters
Result Request Parameters
Parameter | Type | Required | Default | Description |
---|---|---|---|---|
id | string | Yes | - | Task ID |
Result Response Parameters
Parameter | Type | Description |
---|---|---|
code | integer | HTTP status code (e.g., 200 for success) |
message | string | Status message (e.g., “success”) |
data | object | The prediction data object containing all details |
data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
data.model | string | Model ID used for the prediction |
data.outputs | array | Array of URLs to the generated content (empty when status is not completed ) |
data.urls | object | Object containing related API endpoints |
data.urls.get | string | URL to retrieve the prediction result |
data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
data.status | string | Status of the task: created , processing , completed , or failed |
data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
data.error | string | Error message (empty if no error occurred) |
data.timings | object | Object containing timing details |
data.timings.inference | integer | Inference time in milliseconds |