What is shot metadata?

Definition

Shot metadata turns visual and production characteristics into searchable fields. It can include shot size, camera angle, movement, lens, depth of field, lighting direction, color, location, time, subject count, action, and continuity notes.

Structured metadata helps creators find relevant examples and convert selected properties into prompts or production plans. Automated extraction can be useful, but ambiguous visual judgments should remain reviewable and linked to the source reference.

ELI5

Shot metadata is a set of labels describing how a video or film shot is made. It can record the framing, camera movement, lighting, setting, subjects, and visual style.

For example, a shot can be labeled "close-up, low angle, slow push-in, warm side light, shallow focus." Creators can search those labels to find examples and build a structured prompt for a new shot.

Frequently asked questions

What fields can shot metadata contain?

It can contain shot size, angle, lens, movement, focus, lighting, color, setting, subjects, action, duration, style, and continuity.

How does shot metadata help AI video prompting?

It converts visual qualities into searchable and reusable fields that can be selected and assembled into a clearer generation request.

Videos explaining shot metadata

  1. Tim Simmons beside the headline Mystery AI Video Models