Soften it, hide it, or make it disappear
You’re about to share a screenshot on Twitter, but it’s got your home address visible in the corner. Or you’ve got a beautiful photo you want as a website background, but the details compete with your headline text. Or maybe you just want that soft, dreamy look for an Instagram post.
Gaussian blur. That’s what this tool applies. It’s the same algorithm Photoshop uses, a bell-curve kernel that smooths out detail evenly across the image. No pixelation, no blocky artifacts. Just a clean, natural softening that you control with a slider from 1 (barely noticeable) to 50 (completely unrecognizable).
How to blur
- Upload your image.
- Drag the intensity slider: low numbers for subtle, high numbers for heavy.
- Hit “Blur & Download”.
At intensity 5-10, you get a soft focus effect. Think background images behind text on a landing page. At 30-50, faces become featureless blobs and text becomes illegible. That’s your privacy setting.
What you’re working with
- Gaussian algorithm: smooth, natural blur with no artifacts
- Intensity range of 1-50: fine-grained control over how much detail disappears
- All common formats: JPEG, PNG, WebP
- Server-side processing: works fast even on large images
- Nothing saved: your file gets processed in memory, then discarded
Real scenarios
Redacting sensitive info from screenshots. You’re writing a blog post about a banking app and need to show the interface, but your account number and balance are visible. Blur at 40+ makes that data completely unrecoverable. Not just hard to read, mathematically impossible to reconstruct.
Hero images that don’t fight your text. You found the perfect photo for your landing page header. But at full sharpness, the text overlay is hard to read. A blur at intensity 10-12 keeps the photo’s color and mood while pushing the detail into the background. Your headline suddenly pops.
Paywall preview images. Subscription sites and premium content platforms use heavy blur on preview thumbnails. The user can see enough to know what the content is about, colors, shapes, composition, but can’t actually consume it. Smart nudge toward that subscribe button.
The Instagram letterbox trick. Your photo is 4:3 but Stories needs 9:16. Take the same image, blur it heavily, stretch it to fill the frame, then layer the sharp original on top centered. You’ve seen this everywhere. Now you know how it’s done.
Depth-of-field faking. This tool blurs the whole image, but that’s actually useful. Export the blurred version, bring it into Figma or Photoshop as a background layer, and composite your sharp subject on top. Instant bokeh effect without a $2000 lens.
For monochrome effects, there’s the Image Grayscale tool. And here’s a fun side benefit: blurred images compress incredibly well with the Image Compressor, since blur removes all the high-frequency detail that eats up file size.
Stuff people ask
What exactly is Gaussian blur?
It’s a smoothing filter named after the Gaussian (bell curve) function. Each pixel gets averaged with its neighbors, weighted by that curve. The result looks natural, unlike a box blur, which can leave harsh edges.
Can I blur just one part of the image?
Not here. This applies blur to the entire image. If you need selective blur, like blurring a face while keeping the background sharp, you’ll need Photoshop, GIMP, or Figma.
Good for hiding personal info?
Absolutely. At intensity 30 and above, text, faces, license plates, and other details become completely unreadable. The blur destroys the data, it’s not a reversible filter.
Does blur make files smaller?
Often, yes. Blur removes sharp edges and fine detail, which are the most “expensive” parts of an image to encode. A blurred JPEG is typically smaller than a sharp one at the same quality setting. Nice bonus.
Can someone un-blur my image?
No. Despite what crime shows suggest, Gaussian blur permanently destroys detail. The math doesn’t work backwards, you can’t reconstruct pixels that have been averaged together. Keep your original if you need the unblurred version.