Image Blur
Apply Gaussian blur to a photo — adjust the radius and download, no upload.
Examples
Privacy blur
Input
Photo with a visible license plate
Output
Entire image at blur radius 20 — plate is unreadable
Soft background
Input
Sharp product photo
Output
Gentle blur at radius 4 — dreamy soft-focus effect
About this tool
This free online image blur tool applies a smooth Gaussian blur effect to photos in your browser — no upload required. Drag the radius slider to control how strong the blur is, hit Apply, and download the result. It is useful for softening backgrounds, creating a dreamy effect, or obscuring sensitive information across the whole image.
How to use
- Drop a JPG, PNG, or WebP image into the upload zone.
- Drag the Blur Radius slider (0–50 px) to set the blur intensity.
- Click Apply to process the image.
- Preview the blurred result and check the file size.
- Click Download to save the blurred image.
Frequently asked questions
How do I blur an image online for free?
Drop your image into this tool, adjust the blur radius slider, and click Apply. The Gaussian blur is applied in your browser — no upload, no sign-up, completely free.
Is my image uploaded to a server?
No. Blurring happens entirely in your browser using the Canvas API. Your image never leaves your device.
What blur radius should I use?
For a subtle soft-focus effect, try 2–5 px. For a strong blur that obscures content (faces, license plates), use 15–30 px. The default is 5 px.
Which image formats can I blur?
JPG, PNG, and WebP are all supported. The output format matches your input — JPEG for JPG files, PNG for everything else.
Can I blur just part of an image?
This tool applies a uniform Gaussian blur to the entire image. For selective blur (e.g. blurring a face), an image editor such as GIMP or Photoshop gives you more control.
Can I use a blur radius of 0?
A radius of 0 passes the image through unchanged, which is useful for changing the format or checking the unblurred version before downloading.
Will blurring reduce the file size?
Often yes — blurred images have less high-frequency detail, which compresses more efficiently. The output size is shown after processing so you can compare.
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