Choose a photo
Open a supported image in your browser. The photo is prepared locally for face detection and editing.
Automatically detect visible faces and apply blur directly in your browser. Review every detected area, add any missed regions, and download the edited image when you're ready.
Face blur can reduce visible facial detail, but it does not guarantee that a person cannot be identified from other information in the image.
Automatic face detection can miss faces or select the wrong area. Check the full image and add manual blur regions where needed before downloading or sharing it.
Choose a File
JPG, PNG, or WebP · up to 10 MB
Automatic detection helps you find faces, while the final review stays in your hands.
Open a supported image in your browser. The photo is prepared locally for face detection and editing.
The face detector marks possible faces. Remove incorrect detections and check for anything it missed.
Draw an additional region over any missed face or other part of the image you want to obscure.
Choose how strongly the selected regions should be visually blurred.
Create the blurred result, then check the entire image before sharing it.
Download the finished result as a PNG when you're satisfied with the review.
This tool looks for face-like regions in an image. It does not identify the person, compare them with a named person, or determine who they are.
Your selected image is read and edited in your browser. GadgetKit does not send the photo itself to a face-detection API or upload it to GadgetKit servers as part of this tool.
Your browser may download the face-detection model and runtime files from external hosting services. Those downloads provide the software needed to run detection locally; they do not require sending your photo with the model request.
The edited image is created in your browser for you to download. This tool does not provide cloud storage or an online image library.
Examples of situations where visual face blur may be useful before sharing an image.
Blur selected faces before posting a group, event, or public-space photo.
Reduce visible facial detail when your organization wants an additional visual privacy step before publishing.
Blur profile photos, video-call faces, or other visible identities before sharing a screenshot.
Review event images and blur selected attendees before distributing or publishing them.
Add visual face blur before publication when your editorial workflow calls for it.
Only edit and publish images you are permitted to use. Consent, privacy, workplace, school, editorial, and publication requirements can vary by situation and location. Face blur is a visual editing aid, not a determination that an image is legally cleared or fully anonymous.
The face-blur workflow is designed to read and edit the selected photo in your browser. The photo itself is not sent to a face-detection API or uploaded to GadgetKit servers as part of this tool. Your browser may separately download the detection model and runtime files needed to run the tool.
No. It detects face-like regions in the image but does not identify the person, compare them with a named individual, or determine who they are.
No. Blurring can reduce visible facial detail, but people may still be identifiable from clothing, location, body features, surrounding text, image context, metadata, or other information.
Yes. Small, obscured, side-facing, poorly lit, or unusual faces can be missed. Always review the whole image before downloading or sharing it.
Use Add Blur Area to draw a manual region over the missed face, then apply the blur again.
You can disable or remove that detected region before applying blur. Automatic detection should always be reviewed rather than accepted blindly.
Yes. The tool can mark multiple detected face regions, and you can choose which ones to blur before producing the edited image.
Yes, using a manual blur region. This can be useful for an avatar, name, license plate, badge, username, or another part of an image you want to obscure.
The current tool supports JPG, PNG, and WebP images up to the file-size limit shown in the upload area.
The current workflow exports the edited result as a PNG file.
Yes. Use the Blur Intensity control before applying the final blur. Stronger visual blur can hide more facial detail, but no blur setting guarantees complete anonymity.
Face detection runs locally in your browser, so the browser first needs the detection model and runtime software. These files perform the detection on your device rather than sending the photo to a remote face-analysis service.
No. The model download provides the software weights used for face detection. Your selected image is processed separately in the browser.
It can help apply visual face blur, but it does not determine whether a particular image satisfies your organization's consent, privacy, publication, or legal requirements. Follow the rules that apply to your situation.
The tool creates the edited result in your browser for download. It does not provide an online photo library or cloud-storage feature for your processed images.
Yes. Detection counts do not prove that every person has been covered or that the selected blur regions are sufficient for your intended use. Review the complete image before sharing it.