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Blur a video background

Choose a portrait look, preview the moving cutout, and create a naturally blurred background.

How it works
  1. ImportChoose source
  2. AnalyzeRun locally
  3. PreviewReview result
  4. ExportCreate file
InputMP4, WebM, MOV and M4V videoOutputMP4 or WebM video

Blurring the background is the video-call look applied properly: the subject stays sharp, the room behind them softens into bokeh, and attention lands where you want it. It is more forgiving than a full cutout, because the softened edges of an imperfect mask are much harder to spot against a background that is already out of focus.

Why blur hides mask errors

Replacing a background puts a hard boundary between a sharp subject and a completely different scene, so any mistake in the mask reads instantly as a halo or a bitten-off edge. Blur keeps the original background, just softened, which means the colours and lighting still match and a stray misclassified pixel simply looks slightly out of focus. That is why blur is the more reliable choice for anything shot without a green screen, and why video-calling software offers it as the default.

Choosing the strength

A moderate blur reads as a portrait lens and keeps the room recognisable, which suits interviews and presentations where the setting adds context. A heavy blur removes the background as information, which is what you want when the room is untidy, confidential, or simply distracting. What to avoid is the middle ground applied to a very busy background: enough blur to look processed but not enough to stop the eye trying to resolve what is back there. Preview with the subject moving, since the mask is more visible in motion than in a still frame.

Questions, answered

Is blurring easier than replacing the background?

Yes, noticeably. The background stays in place and just softens, so lighting and colour still match and small mask errors look like slight defocus rather than a visible halo.

How much blur should I use?

Moderate for interviews and presentations where the room adds context; heavy when the background is untidy, confidential or distracting. Avoid a half-measure over a very busy background.

Do I need a green screen for this?

No. The subject is identified directly from the picture, so it works in an ordinary room with no special setup.

Why does the edge around my subject shimmer?

The mask is calculated per frame, so small variations show up as a moving edge. Steady lighting, a static camera and slower movement all reduce it.

Is this the same as portrait mode on a phone?

Similar in effect. A phone often uses depth sensors as well as image analysis; here the separation comes from the picture alone, which is why edges around hair are harder.