How to Reframe Horizontal Video to Vertical with AI

Reframing changes the view of a source video to fit a different aspect ratio. An AI tool can detect faces or objects and pan a crop to keep a subject near the center. This is faster than keyframing every movement, but the crop contains less of the original horizontal image. A tool may follow the largest face rather than the person speaking, lose a moving subject, or cut off a second person or important context. Choose the output format and story goal first. Decide whether the clip should follow one speaker, keep a group together, or show an action and its surroundings. Preview a representative segment, including entrances, fast movement, and scene changes. Set tracking priorities where available, but inspect the crop at normal playback. Add manual keyframes or choose a wider crop when the automatic track misses a reaction, hands, ball, tool, or piece of on-screen text. Reframing can affect more than the subject. Captions may sit outside the safe area, graphics may be cut off, and a viewer may lose spatial information that explains the scene. Check the beginning and end of each cut, transitions, and any text overlays. For interviews, track turn-taking rather than assuming the loudest or largest face is the only relevant person. For demonstrations, show the hands and the object being handled together when both matter. Keep the original horizontal sequence and create a separate reframed version. Review platform aspect ratio, resolution, captions, and safe areas before export. Auto-reframe is a first pass, not a substitute for editorial choices about who or what deserves attention. The crop should preserve the meaning of the scene and should not imply that a person was alone or that an action happened outside the visible frame.