What is Gaussian blur?

Gaussian blur replaces each pixel with a weighted average of its neighbours using a bell-curve distribution, producing smooth, natural-looking blur.

What blur radius should I use?

1–3 for subtle softening, 4–8 for visible blur (background effects), 10–15 for strong privacy blur, 15–20 for heavy blur (LQIP placeholders).

At radius 15+, blur effectively obscures text and faces. For maximum security, use a solid colour fill over sensitive areas instead.

No. Blur is applied entirely in your browser using the Canvas API. Nothing is sent to any server.

Yes. The alpha channel is blurred too. However, edge fringing may appear where transparent pixels meet coloured pixels — check the result carefully.

Apply Gaussian blur to photos — ideal for backgrounds and privacy.

100% client-side · no upload

Image file (JPEG, PNG, WebP, AVIF)

Settings Blur radius (px) Output quality (%) Output format

Load a file to begin.

Drop your image onto the file picker or tap to select from your device.
Set the blur radius — 1–3 for subtle softening, 4–8 for visible blur, 15–20 for heavy privacy blur.
Choose output format (JPEG for smallest file, PNG for lossless), adjust quality, then click Blur image.

What is Gaussian blur?: Gaussian blur replaces each pixel with a weighted average of its neighbours using a bell-curve distribution, producing smooth, natural-looking blur.
What blur radius should I use?: 1–3 for subtle softening, 4–8 for visible blur (background effects), 10–15 for strong privacy blur, 15–20 for heavy blur (LQIP placeholders).
Is blur effective for hiding sensitive information?: At radius 15+, blur effectively obscures text and faces. For maximum security, use a solid colour fill over sensitive areas instead.
Is my image uploaded to a server?: No. Blur is applied entirely in your browser using the Canvas API. Nothing is sent to any server.
Does blur work on PNG with transparency?: Yes. The alpha channel is blurred too. However, edge fringing may appear where transparent pixels meet coloured pixels — check the result carefully.

Last updated: 2026-05-20 By jarvisbox