Video noise reduction API
Noisy video — sensor grain, compression artifacts, film grain — distracts from content and compresses poorly. BetterVideo's API applies AI denoising that cleans noise while preserving the detail you want to keep.
Free sandbox key, no card. Never trained on. Never sold. Auto-deleted.
Where video noise comes from
Noise has multiple sources, and each degrades video differently:
- Sensor noise: High ISO in low light amplifies electronic noise
- Compression artifacts: Aggressive encoding creates blocky, noisy areas
- Film grain: Analog film has natural grain that may need removal for digital use
- Upscaling artifacts: Naive upscaling can introduce noise-like patterns
Traditional denoising blurs everything. AI denoising learns to distinguish noise from detail.
How AI denoising works
BetterVideo's pipeline applies neural-network-based denoising alongside super-resolution:
- Noise detection: Identify noise patterns vs. actual texture
- Selective smoothing: Reduce noise in flat areas, preserve edges and texture
- Detail reconstruction: Real-ESRGAN adds back detail lost to compression
The result is cleaner video that still looks natural — not plastic or over-processed.
Use cases for video denoising
- Content delivery: Denoised video compresses better, saving bandwidth
- Low-light footage: Clean up high-ISO phone and DSLR video
- Archive restoration: Remove film grain or tape noise from old footage
- Broadcast prep: Clean up source before color grading
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":"1080p"}'
Python
import requests
r = requests.post("https://api.bettervideo.io/v1/jobs",
headers={"Authorization": "Bearer YOUR_KEY"},
json={"video_url": "https://.../clip.mp4", "resolution": "1080p"})
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: "1080p" })
});
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
It reduces noise significantly but preserves texture. You won't get a plastic, over-processed look.
Yes — cleaner video compresses more efficiently, reducing file size and bandwidth.
Currently the pipeline auto-adjusts to source quality. Contact us if you need fine-grained control.
Yes — denoising removes unwanted noise while sharpening enhances edges. We apply both.
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.