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Tutorial

How to remove an object from video — locally, not in the cloud

Dynamic Tracking Removal follows a walker or car. Static Removal stamps parked clutter. Both are object-erase workbenches — not watermark marketing.

August 21, 20265 mintutorial, video repair, post-production

The short answer

AI Object Remover has two current workbenches: Dynamic Tracking Removal for moving targets, Static Removal for things that sit still. Mark, preview the fill, export locally. This is object erase — not a watermark-removal pitch. Download then pricing.

Current Dynamic Tracking Removal workspace with an official erase demo still — layout screenshot, not a claimed cleanup
Current desktop screenshot. The preview pane uses an existing official demo still — not a claimed live result.
Current Static Removal workspace with an official still in the preview pane — not a claimed cleanup
Current desktop screenshot. Static Removal is the parked-object workbench — not a claimed live erase.

Pick dynamic or static first

  • Walker, cyclist, or car crossing the frame → Dynamic Tracking Removal
  • A parked bin, sign, or fixed clutter → Static Removal
  • Quick / Standard / High Quality tiers trade time for fill quality — preview first

What the fill cannot invent

  • Crowds, repeating tiles, and thin poles remain hard
  • Long occlusions leave a hole the neighbors cannot reconstruct
  • A single still is not a claimed before/after — watch motion

How to erase the nuisance

  1. Open the matching workbench and import the clip
  2. Mark with points, regenerate if the mask crawls, preview 1s/3s/5s
  3. Export locally only if the fill holds on the worst pass

Experience on Your Own Footage

Download KwaFlux locally and render 1s, 3s, and 5s previews before you pay — 100% on your GPU without cloud upload.

Try KwaFlux freeExplore features

Frequently asked questions

Is this watermark removal?

No. This tutorial covers object erase (dynamic and static). We do not market watermark removal.

Can I remove a person walking through?

Yes — that is the dynamic-tracking job. Dense crowds and long occlusions still fail; preview honestly.

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