Automatic face detection
Multiple detection passes help find prominent front-facing faces. Always inspect the preview before sharing.
Automatically find faces and protect identities with adjustable blur, pixelation, or a solid privacy mask.
Multiple detection passes help find prominent front-facing faces. Always inspect the preview before sharing.
Use blur for a natural look, pixelation for an editorial effect, or blackout for the strongest visual concealment.
Uploaded and generated temporary files are deleted by the processing service after the response is sent.
Upload a supported image, choose a privacy effect, adjust coverage and detection sensitivity, then review the output carefully before downloading.
Choose High sensitivity and 20–30% coverage to improve detection of smaller background faces.
Use Blackout with an oval mask and generous coverage. Blur alone may not defeat advanced recognition methods.
Soft Blur at 45–65 strength with an oval mask works well for casual photos.
Profile faces, heavily covered faces, and very small faces may be missed. Review every face in the result.
Yes. Small, covered, rotated, low-contrast or unusual-angle faces may be missed. Always inspect the entire result before sharing it.
A solid blackout with generous coverage is visually stronger than blur or pixelation, though you should still review the mask placement.
No. Face detection runs securely on ZeeSharp’s server. Temporary input and output files are removed by the processing workflow.