Blur Pixelate Image
Blur or pixelate part of a photo — a face, license plate, or any sensitive detail — free and processed entirely in your browser.
About Blur & Pixelate Image
Sharing a photo publicly sometimes means hiding a face, a license plate, an address, or another detail you don't want visible. This tool lets you draw a box over any region and apply a blur or pixelation effect, permanently obscuring what's underneath.
This is a manual tool — draw the box yourself over what needs hiding — rather than automatic AI face detection, so you have full control over exactly what gets obscured, including things that aren't faces at all. Everything runs locally in your browser using the Canvas API.
How to Blur or Pixelate Part of a Photo
Step 1
Upload your photo
Drag and drop a PNG, JPG, or WEBP photo, or choose one from your device.
Step 2
Draw over what to hide
Draw a box over each region, and choose blur or pixelate for each one.
Step 3
Download your photo
Save the result with those regions permanently obscured.
Frequently Asked Questions
Does this automatically detect faces?
No — this is a manual tool where you draw the box yourself over whatever needs hiding, whether that's a face, a license plate, a document, or anything else. That gives you full control, rather than relying on automatic detection that could miss something or blur the wrong thing.
What's the difference between blur and pixelate?
Blur softens the region smoothly; pixelate breaks it into large, blocky squares. Both make the underlying content unrecognizable.
Can I obscure more than one region?
Yes — draw as many boxes as you need, each with its own blur or pixelate setting.
Is my photo uploaded anywhere?
No. Everything happens locally in your browser.
Can blurred or pixelated content ever be recovered?
At a strong setting, recovery isn't practical for any real-world purpose. At a very light blur or large pixelation-block setting, specialized image-reconstruction techniques can sometimes partially recover simple content like text — this is documented in real security research, not just theoretical. For anything genuinely sensitive rather than casual, use the strongest setting that still looks acceptable, not just enough to visually obscure it.