Metadata & Privacy Tools

Blur Faces / Privacy Mask

Automatically detect faces when supported or manually draw blur and pixelation masks over sensitive areas.

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About this tool

What does Blur Faces / Privacy Mask do?

Blur Faces / Privacy Mask helps hide faces, license plates, addresses, screens and other identifying details before an image is shared. Automatic face detection uses a browser-loaded model when available. Manual rectangle selection remains available for any object and is essential for verifying missed areas.

Automatic browser face detection

Manual rectangle selection

Blur, pixelate and solid-mask modes

Editable list of privacy regions

Step-by-step guide

How to use Blur Faces / Privacy Mask

  1. Upload the image that contains sensitive details.
  2. Run face detection or draw manual rectangles.
  3. Choose blur, pixelation or solid mask strength.
  4. Inspect every area carefully and download the protected copy.

Understand the result

How to read and refine the output

Automatic detection is a starting point, not a privacy guarantee. Review reflections, background faces, license plates, documents and screens manually. Strong pixelation or solid masks are harder to reverse visually than a light blur.

Practical advice

Tips for better results

  • Use solid masks for highly sensitive information.
  • Check the full-resolution output, not only the thumbnail.
  • Add manual regions for missed faces and plates.
  • Keep the unredacted original in secure storage.

Best-fit tasks

When to use Blur Faces / Privacy Mask

  • Masking faces before public posting
  • Hiding addresses, license plates, badges and screens
  • Creating a cleaned copy for support tickets or social sharing

Choose carefully

When another method may be better

Automatic detection is not a guarantee. For highly sensitive material, manually inspect every region and prefer an opaque mask when underlying text must be visually unrecoverable.

Practical example

Example workflow

After automatic face detection, manually scan corners, reflections and text labels, add masks where needed, export a copy and inspect it again at full size.

Read: verification-first redaction workflow →

Important limitations

What this tool cannot guarantee

Face detection can miss profiles, small faces, masks and unusual lighting. Blur may leave recognizable shapes, and no browser tool can guarantee anonymization against every reconstruction technique. Manual review is required.

Common questions

Blur Faces / Privacy Mask FAQs

Is automatic face detection guaranteed?

No. Always review the image and add manual masks for missed areas.

Which mask is safest?

An opaque solid mask usually reveals less visual information than a light blur.

Can I hide license plates?

Yes. Draw a manual rectangle over each plate.

Does detection send faces to a server?

No. The model runs in the browser after its files are loaded.

Continue editing

Related image tools

Practical tool guide

Using Blur Faces / Privacy Mask effectively

Automatically detect faces when supported or manually draw blur and pixelation masks over sensitive areas. This page is designed to help you work with the result with a clear browser-based workflow rather than making you install a separate utility for a small task.

How to use it

Load an image, make one focused change at a time, compare the preview with the source, and export only after dimensions, format and quality look right.

Best used for
  • web and social media assets
  • quick format or size adjustments
  • preparing images for documents and online forms
What to verify

Use it when you need a focused result without installing a separate desktop application. Repeated lossy exports can reduce image quality. Keep an untouched original when editing important photos, artwork or brand assets.

Why this workflow matters

Image workflows are usually a trade-off between visual quality, dimensions, format and file size. Blur Faces / Privacy Mask is intended for a focused edit rather than a long creative workflow. Compare the preview with the original at normal viewing size, check text and edges for artifacts, and export once you are satisfied. Keeping the untouched source makes it easier to try different settings without accumulating quality loss.

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