Blur Face

Hide faces, license plates, addresses, and other private details before sharing a photo.

What Blur Face helps you do

Hide faces, license plates, addresses and other private details before sharing a photo by dragging blur rectangles over them. You control exactly which areas are obscured, and the blur is applied to the full-resolution image rather than the preview. A browser face-detection API can suggest rectangles where it is available.

Blurring runs entirely in your browser. Your photo never leaves your device.

How it works

These tools decode the image in your browser, draw it onto a canvas, apply the change, and encode a new file. Nothing is uploaded, so the result depends on the browser's own decoders and encoders rather than a server library. Re-encoding always creates a new file: metadata such as EXIF, GPS and color profiles is generally dropped, and JPEG or WebP output loses a little quality on every save. Canvas work is capped at roughly 36 megapixels, so very large images may be refused rather than processed slowly. Browsers normally apply EXIF orientation when decoding, so a phone photo usually appears upright before any rotation is applied.

How to use Blur Face

  1. Open the photo and drag rectangles over each area to hide.
  2. Adjust the blur strength if the result is not opaque enough.
  3. Use Detect faces if your browser offers it, then check the boxes.
  4. Apply the blur, review the result and download.

When to use it

  • Blur faces before posting a group photo publicly.
  • Hide a license plate, house number or document detail.
  • Obscure identifying details in a screenshot or photo.
  • Redact a name badge in an event photo.
  • Hide a screen or whiteboard in the background.
  • Prepare an example image for a tutorial without exposing anyone.

When not to use it

  • Do not rely on a light blur for truly sensitive data; strong blur or a solid cover is safer.
  • Do not assume automatic detection is available or complete.
  • Do not use it as a substitute for consent when publishing someone's image.

Example

Dragging a rectangle over a face and applying a strong blur obscures that region on the exported image. Because the blur is applied to the source pixels, the preview scale does not limit the result. A light strength leaves recognizable features, while a high strength turns the area into an unrecognizable smear.

What you can do with Blur Face

  • Drag rectangular blur areas over a photo.
  • Set the blur strength from 4 to 50 pixels.
  • Undo the last area or clear all areas.
  • Detect faces automatically where the browser supports it.
  • Apply the blur at full resolution.
  • Download the redacted image.

Example: pick the format for the job, then check the result

Keep the original. Every tool downloads a new file, and repeated conversion between lossy formats compounds artifacts.

Choose the format by purpose: PNG for sharp edges, text and transparency; JPEG for photographs; WebP when file size matters on the web.

Check transparency before converting to JPEG. Alpha is flattened onto a background color, and the choice is permanent in the output.

Look at the output at 100 percent. Smoothing, sharpening and watermark placement are easier to judge at full size than in a small preview.

For a batch, check the ZIP contents and file count. A single failed image is reported separately and does not stop the rest.

Note the output dimensions and file size. A larger pixel count does not always mean a better result, and a large PNG can be slower to load than a smaller JPEG.

What to know before you start

  • Blurring is manual; detection is not automatic, so you must mark every sensitive area yourself.
  • A light blur can sometimes be reversed, so use strong blur or cover for truly sensitive data.
  • Automatic face detection depends on a browser API that is not available everywhere.
  • The blur is rectangular and follows the dragged box, not the shape of the object.

Common mistakes

  • Using a light blur that still reveals the face.
  • Missing a second face or a reflection.
  • Assuming Detect faces works in every browser.
  • Blurring the preview and downloading before applying.

Troubleshooting

If Detect faces is unavailable, the browser lacks the FaceDetector API; draw the boxes manually.

If the blur looks weak, increase the strength or apply it twice.

If an area is misplaced, undo and redraw it.

If the download is disabled, the blur has not been applied yet.

Related standards and documentation

  • PNG is specified by the W3C and supports lossless compression and alpha.
  • JPEG is standardized as ISO/IEC 10918 and is lossy.
  • WebP is a Google format with both lossy and lossless modes.
  • sRGB (IEC 61966-2-1) is the usual color space for web images.
  • EXIF (CIPA DC-008) stores camera settings and can include GPS coordinates.
  • ICC profiles describe a device's color gamut, and most canvas exports do not preserve them.
Local, lossy, final
  • Keep the source file.
  • Match the format to the use.
  • Check alpha and size.
  • Inspect the export.

Frequently Asked Questions