AI Video Breakdown on Astorie

Video breakdown takes a video clip and runs shot-detection plus keyframe-extraction across it. The output is a timeline of detected cuts with a representative frame per shot, so a 30-second reference film resolves into six or eight panels you can study and reuse. Some breakdown variants also tag camera movement, scene type, and dominant subject so you can search the breakdown by intent.

On the Astorie canvas, video breakdown spawns multiple downstream nodes — one image node per detected shot — that you can wire into the next stage of your project. Common follow-ups include feeding each shot frame into Nano Banana 2 to generate stylised variants, into Seedance 2 or Kling 3 for image-to-video reproduction, or into Flux Kontext to swap subject and re-render in your own style.

Upload or select your source video on the canvas. Reference films, trailers, prior generations, or competitor ads all work. Cleaner cuts produce sharper shot detection — heavily edited or fast-cut content can over-segment.

Drop a Video Breakdown tool node and wire the source into its input. Configure thresholds if the model exposes them — sensitivity controls how aggressively the detector splits on motion or lighting changes. Default settings are tuned for typical narrative pacing.

Submit and the breakdown returns as a panel of image nodes (one per detected shot) plus optional metadata per shot. Walk the timeline left-to-right, keep the beats that matter, and delete the rest — each kept frame is a normal image node any downstream tool can consume. For the full step-by-step walkthrough, see the docs guide.