Tutorial

How to Search Video by Description

Turn a video library into searchable shots so you can find concrete visual moments by describing what is visible.

Workflow

Start with footage you own or manage. ShotMind is designed around your local video library rather than a public stock-footage marketplace.

The app turns long videos into smaller visual moments so search can point to a specific shot instead of only a whole file.

Select the shot clips you want to make searchable. These selected clips are analyzed by AI and become part of your searchable reference library.

Describe the shot the way you would describe it to a collaborator: subject, action, scene, lighting, camera movement, mood, or style.

Use the search result to jump back to the relevant visual moment, then check the original video when timing, accuracy, or client approval matters.

The best queries describe visible evidence, not internal file names or vague project notes.

Subject or object: person, product, vehicle, UI screen, character, or prop.
Action: walking, turning, picking something up, pushing forward, cutting to a transition.
Scene and mood: neon street, quiet indoor room, low light, warm daylight, tense expression.
Camera and composition: close-up, wide shot, over-the-shoulder, slow push-in, handheld move.

Full source videos stay local.
Only selected shot clips are temporarily sent to cloud AI for analysis.
AI search can miss details, so verify important matches against the original video.