Insights · Trend · Creative
AI Video Scaling: Giving Your Footage a Second Life
Archival footage and low-quality assets no longer need to be discarded. Thanks to advanced AI algorithms, we can now recover details and smoothness that were previously technically unreachable. Here is what's changing and what you can do better.
What's changing right now
Traditional image enlargement caused blurring, and slowing down motion resulted in "choppy" frames. Today, neural networks generate missing pixels and intermediate frames, creating ultra-smooth 4K imagery from SD or HD sources while preserving the natural texture of objects.
What you can do better
Concretely, starting today
- Choose detail-oriented (generative) upscaling instead of simple edge smoothing.
- Use frame interpolation (Optical Flow AI) to achieve cinematic slow-motion even from standard 24 fps footage.
- Remove digital noise before the scaling process so the AI doesn't interpret artifacts as important details.
- Combine old footage with new graphic elements to mask any remaining source imperfections.
Proof from our work
At DTL Digital, we utilize the ScaleTry engine for lossless texture enlargement and FlashAI for video optimization. Our proprietary approach allows us to refresh client archives and re-release them in UHD standards without the need for costly reshoots.
Frequently asked questions
Can any video be upscaled to 4K?
Yes, but the result depends on the source quality. AI works best with sharp, albeit low-resolution images, managing to extract textures previously invisible to the naked eye.
What is frame interpolation?
It is the process of creating new image frames between existing ones. This makes low-frame-rate video extremely smooth, which is crucial for dynamic product advertisements.
Refresh your video archive
Send us your footage, and we'll show you how ScaleTry and FlashAI can restore its brilliance.
