AI video upscaling API
Standard upscaling stretches pixels. AI upscaling with Real-ESRGAN reconstructs detail that wasn't in the source — turning SD into clean 1080p, or HD into crisp 4K. Submit a video URL and download the upscaled result.
Free sandbox key, no card. Never trained on. Never sold. Auto-deleted.
The difference between upscaling and super-resolution
Traditional upscaling (bicubic, Lanczos) interpolates between existing pixels. You get a bigger image, but no new detail — just smoothed-out enlargement.
AI super-resolution (Real-ESRGAN) is different. The model was trained on millions of image pairs (low-res → high-res) and learned to predict what detail should be there. When you upscale, it reconstructs texture, edges, and structure that naive interpolation can't create.
The result
- SD footage that looks native 1080p, not stretched
- HD footage that holds up on 4K displays
- Old recordings that feel modern
Resolution options
Set the resolution parameter on your job:
1080p— Upscale to 1920×1080 (default)4k— Upscale to 3840×2160
The API automatically handles aspect ratios and applies the full enhancement pipeline (super-resolution + face restoration + contrast + sharpening) in one pass.
Use cases for AI upscaling
- Archive digitization: SD tapes and DVDs to HD/4K
- Streaming prep: Older catalog content for 4K platforms
- Display readiness: Make footage hold up on large screens
- Content platforms: Automatically upscale user uploads
One API call — curl, Python & Node
Submit a video by URL, then poll GET /v1/jobs/{id} until done (or receive a signed webhook), and fetch a time-limited download link:
curl -X POST https://api.bettervideo.io/v1/jobs \
-H "Authorization: Bearer YOUR_KEY" -H "Content-Type: application/json" \
-d '{"video_url":"https://.../clip.mp4","resolution":"4k"}'
Python
import requests
r = requests.post("https://api.bettervideo.io/v1/jobs",
headers={"Authorization": "Bearer YOUR_KEY"},
json={"video_url": "https://.../clip.mp4", "resolution": "4k"})
job = r.json() # poll GET /v1/jobs/{job['id']} until status == "done"
Node.js
const res = await fetch("https://api.bettervideo.io/v1/jobs", {
method: "POST",
headers: { "Authorization": "Bearer YOUR_KEY", "Content-Type": "application/json" },
body: JSON.stringify({ video_url: "https://.../clip.mp4", resolution: "4k" })
});
const job = await res.json();
Privacy is the default, not an upgrade
- Never trained on. Pre-trained, fixed-weight models — your frames are enhanced and returned, never used to train AI.
- Never sold or shared. No third parties, no data brokers, no "anonymized" resale.
- Auto-deleted. Files self-delete (default 30 days), or delete any job instantly with one call.
- Proof on the Secure tier. Every deletion can return a signed deletion certificate, with a full audit log.
Frequently Asked Questions
There's no hard limit, but upscaling works best on SD or HD source — upscaling 4K to 8K isn't the primary use case.
A few minutes for short clips; longer videos scale linearly. You'll get a webhook or poll for completion.
Both use AI super-resolution. BetterVideo runs Real-ESRGAN as a hosted API; Topaz is a desktop app.
AI super-resolution genuinely adds detail — it's not just a bigger file with the same information.
Start free — get your API key
Free sandbox key (no card). Try the entire submit → enhance → download flow in a minute with the Run-in-Postman collection.