AI video editing
Video upscaling: definition and examples
What is Video upscaling?
Video upscaling is the process of increasing a video’s resolution, converting low-resolution footage to a higher pixel count. AI upscaling uses deep learning models to reconstruct fine detail that was not in the original, so footage looks sharper at the larger size while staying consistent across frames.
When you'd use it
- 1When archival or user-generated footage looks soft against the resolution you publish at.
- 2When footage shot on an older or lower-spec camera looks soft next to newer clips in the same edit.
- 3When a platform requires a minimum resolution and the source file falls below it.
- 4When you are repurposing older brand content and want the visual quality to hold up on modern screens.
Example
A creator finds a 720p interview recording from five years ago that they want to repurpose. AI upscaling converts it to 1080p with acceptable sharpness on the speaker's face, though fine text in the background becomes slightly smeared.
Use cases
- 1Upscaling archival brand footage to 4K so it can sit alongside newer clips in a brand story video.
- 2Improving the resolution of user-generated content before including it in an edited brand compilation.
- 3Bringing older campaign footage up to platform minimum quality before republishing.
Make on-brand short-form video from the footage you already have.