AI Video Upscaler

Modest improvements (like SD to a cleaner near-HD look) tend to work best. Dramatic jumps (very low-res to 4K) push the limits of what can be reliably reconstructed, since detail that was never captured can't be perfectly recovered — expect a clearer, sharper version rather than true added resolution out of nowhere.

It can reduce mild blur and noise, improving overall clarity. Heavy motion blur or significant camera shake is harder to correct and may see only partial improvement.

Yes — old SD footage, low-light clips, and heavily compressed videos (from being re-shared many times) are common cases where upscaling can meaningfully improve clarity.

The tool tries to sharpen without distorting — faces and text usually stay recognizable and get somewhat clearer. Very degraded source footage limits how much detail can be added back, since it can't invent information that isn't there.

Processing time depends on video length and requested improvement — short clips typically process in a few minutes. Longer videos or more ambitious upscales take longer.

Very low-quality or heavily compressed source video has a ceiling on how much can be improved. If the first pass isn't enough, try describing the specific issue more precisely (like 'reduce grain' vs. 'sharpen edges') for a more targeted result.