إزالة السائحين من الصور باستخدام الذكاء الاصطناعي

Yes. Describe unwanted tourists with Quick Remove or select them with Magic Eraser. AI removes the targeted area and generates replacement scenery; results depend on the photo and how much background is hidden.

Yes. Indicate which background people should go and keep your own subject outside the selection. Clear separation between you and the tourists generally makes editing easier.

You can target multiple people. A few separated visitors are usually easier to remove cleanly than a dense, overlapping crowd.

It can help with photos from landmarks, plazas, and monuments. If a crowd covers much of the scene, more background must be generated, so inspect the result carefully.

The goal is to edit the selected people while leaving the rest of the photo intact. Keep yourself outside the target area and review the finished image for unintended changes.

Yes. Describe or select the strangers you want removed, and take care to exclude family members and friends you want to keep.

You can try targeting all visible people. When they cover a large portion of the landscape, the generated background may need closer review.

Use Magic Eraser to select and refine the people you want to target. Quick Remove is also available when a short description clearly identifies them.

Switch to Magic Eraser and refine the selection around the overlap. Close contact can be difficult, so check the subject boundary after generation.

No. The hidden area is newly generated from the surrounding visual context; the exact original pixels are not available.

Yes. You can target selected people on beaches or waterfronts. Check the reconstructed sand, water, and shadows for visual consistency.

Yes. It can clean up selected visitors around buildings and attractions. Detailed structures such as railings, signs, and windows may need extra inspection.

The editor supports JPG, PNG, and WebP images.

The edit focuses on the targeted area and uses the surrounding scene as context. Review the full image to catch any changes outside the intended region.

Adjust the description or selection and run another pass. You can also remove a complex crowd in smaller, focused areas and review each result.