Low-light video enhancement API
Dark, underexposed video loses detail that matters — faces, license plates, what actually happened. BetterVideo's API applies adaptive contrast enhancement and noise reduction to recover clarity from low-light footage, in a single REST call.
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The low-light problem
Video shot in poor lighting suffers from two compounding issues: underexposure (detail is there but invisible) and noise (the camera amplifies sensor grain to compensate). Simply 'brightening' the video makes it noisier and doesn't recover detail.
Where low-light footage comes from
- Security cameras: Night footage, poorly lit parking lots, interior shadows
- Dashcams: Night driving, tunnel exits, headlight glare
- Consumer phones: Indoor events, concerts, evening recordings
- Body-cams: Low-light encounters, building interiors
In each case, the footage exists but the detail is buried. Enhancement surfaces it.
How the API handles low-light
BetterVideo applies a multi-stage pipeline to low-light footage:
- Adaptive CLAHE: Contrast-limited adaptive histogram equalization recovers local detail without blowing highlights
- Denoising: Reduce sensor grain amplified by low-light exposure
- Super-resolution: Real-ESRGAN reconstructs detail lost to compression
- Face restoration: GFPGAN sharpens faces that matter for identification
One API call runs the full pipeline — you don't chain steps yourself.
Use cases
- Insurance claims: Dashcam footage of night incidents
- Investigations: Security video from poorly lit areas
- Content platforms: Automatically improve user uploads shot in low light
- Archive digitization: Old footage shot with less capable cameras
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 recovers detail from underexposed footage, but can't create detail that was never captured. Extremely dark footage has limits.
Adaptive CLAHE is contrast-limited — it enhances shadows without clipping bright areas.
Yes — one API call runs contrast enhancement, denoising, and super-resolution together.
It handles standard low-light video; infrared or thermal imaging may have different characteristics.
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