Blur Image

How Blur Image works

Apply a gentle blur across the whole image. Blurring averages neighbouring pixels, hiding detail and softening edges. Everything happens inside this page: the tool reads your input, runs the calculation or conversion locally, and hands the result back to you. Nothing is transmitted, because there is no backend to transmit it to.

That design choice is deliberate. Most free tool sites upload your files to a server, process them there, and quietly keep a copy. Toolcin cannot do that — the site is a set of static files. If your connection dropped the moment the page finished loading, every tool would still work.

A fixed 3-pixel blur

The browser's blur filter applies a Gaussian blur with a 3-pixel radius, so the amount scales with the image only in the sense that a 4000-pixel photo and a 400-pixel one both get a 3-pixel softening — visually, the larger image looks much less blurred.

That is the main limitation: there is no strength control on this page. For a heavy blur on a large image, downscale first, blur, then scale back up — the result is faster and stronger.

What blur is good for

Hiding identifying detail in a screenshot or a photo before sharing — a house number, a face, a licence plate. A 3-pixel blur is enough for small text and usually not enough for a face on a high-resolution image.

It is also the standard way to make a background image readable behind text without darkening it.

Blur is not redaction

A blurred region can sometimes be partially recovered with deconvolution, and a 3-pixel blur leaves a lot of structure. For anything sensitive, crop the region out or cover it with a solid block instead of blurring.

Good to know

• Works offline once loaded, including on flights and in locked-down networks.
• No file size limit beyond your device's own memory.
• Free to use, with no account and no usage counter.
• Results are produced locally, so they are not logged or shared with anyone.

Questions