Pixlane

Video Background Removal

100% free No upload — on-device No watermark AI on-device

Cut the subject out of every frame with on-device AI segmentation — a dedicated portrait-matting model kicks in when a face is detected — then export over a clean chroma key color for further compositing.

No green screen needed

Neural segmentation separates the person from the background in each frame, no studio setup required.

Chroma-key ready

Exports place the subject over a solid green (or black/white) backdrop so any editor can re-key it.

On-device

Frames never leave the browser — the model runs in WebAssembly.

How to remove a video background

  1. Open the tool and add your video. Open Pixlane Video Background Removal and drop your MP4 or MOV (or choose a file). It loads instantly and is processed on your device — nothing is uploaded.
  2. Adjust. Pick a replacement color — the AI segmentation cuts the subject out of each frame.
  3. Export and download. Click Remove & export and download the result — free, no watermark, no signup.

Frequently asked questions

Why a colored background instead of transparency?

H.264 MP4 has no alpha channel. The solid key color re-keys cleanly in any editor; transparent WebM export is on the roadmap.

Why the 30-second cap?

Segmentation runs a neural model on every frame (a few hundred milliseconds each). Trim longer clips first, then process the part you need — the live preview lets you watch progress and cancel anytime.

Which model is used?

When a face is detected the subject is matted with a dedicated portrait model (MODNet) for cleaner hair edges; otherwise the general u2net segmentation model runs. Both execute on-device in WebAssembly.

Can I get a transparent background instead of a color?

Not yet — MP4 has no alpha channel, so the export uses a solid key color you can re-key in any editor. Transparent WebM export is on the roadmap.

Does it work without a person in the shot?

Yes — when no face is detected the general u2net model segments the main subject; with a face, the portrait-matting model gives cleaner hair edges.