What if a face is not detected?
Profile views, extreme angles and very small faces are commonly missed. Review the output, and use the Blur / Pixelate Image tool to cover anything the detector did not find.
All free toolsImage tool · 100% free
Blur Faces in Image
Faces are detected automatically and blurred or pixelated, so you can publish a photo of a crowd, a classroom or a street without exposing the people in it. Detection runs on the server with OpenCV, and the file is deleted the moment your download finishes. It is free, needs no account, and adds no watermark to your result.
Built for: blur faces in image
Deleted as soon as you download itFree · fair-use only
Drop image files herePNG · JPG output · up to 100 files
Included in this tool
Automatic face detectionBlur or pixelateStrength controlBatch processing
When you need this
What people use it for.
Publishing event or school photos where you do not have consent from everyone in frame
Sharing a workplace picture without identifying colleagues
Posting street photography while respecting bystanders' privacy
How it works
What happens to your file.
A Haar cascade classifier locates frontal faces, and each detected region is blurred or pixelated at the strength you choose. The rest of the image is untouched, so the photo still reads normally.
Where it stops: Frontal detection misses faces in profile, at sharp angles, heavily shadowed or very small in frame. Always check the result before publishing, and use the manual blur tool for anything missed.
What this tool includes
Everything you need, without a paywall.
Automatic face detection
Blur or pixelate
Strength control
Batch processing
Questions
Common questions.
Can the blur be reversed?
No. The pixels are destroyed rather than covered, so the original detail is not recoverable from the output file.
Should I remove the photo metadata too?
Yes, if you are publishing for privacy reasons. A blurred photo that still carries GPS coordinates can reveal exactly where it was taken.
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