Apple has launched a new Clean Up feature in their iOS 18.1 developer beta, aiming to remove unwanted objects from photos. In a face-off against rival tools Google Magic Eraser and Samsung Galaxy AI, we test the capabilities of Apple's Clean Up on three photos with varying levels of difficulty. Will Apple's tool reign supreme or will its competitors prove to be more effective?
Apple Unveils "Clean Up" Feature to Rival Google Magic Eraser and Samsung Galaxy AI
Background:
In the realm of photo editing, removing unwanted objects from images has become a highly sought-after feature. Several tech giants, including Google and Samsung, have introduced their own object removal tools, such as Google Magic Eraser and Samsung Galaxy AI. Now, Apple has entered the fray with its own "Clean Up" feature in the iOS 18.1 developer beta.
Apple's Clean Up Feature:
Apple's Clean Up feature leverages advanced machine learning algorithms to identify and remove unwanted objects from photos. It operates similarly to Google Magic Eraser and Samsung Galaxy AI, allowing users to select and erase objects with a simple tap or swipe.
Comparison to Competitors:
To assess the capabilities of Apple's Clean Up feature, it was tested against Google Magic Eraser and Samsung Galaxy AI on three photos with varying levels of difficulty.
Results:
Top 5 FAQs:
1. When will Apple's Clean Up feature be available to the public?
It is expected to be released with the official launch of iOS 18.1, which is currently in beta testing.
2. Which devices will support the Clean Up feature?
It will be available on all iPhones and iPads running iOS 18.1 or later.
3. How does Clean Up compare to previous object removal tools from Apple?
It is an improvement over previous tools, offering more accurate object detection and removal.
4. Can Clean Up remove moving objects?
No, it currently cannot remove objects that are in motion in the photo.
5. How does Clean Up affect the quality of the edited image?
It generally preserves the image quality, but it may introduce slight artifacts in complex backgrounds.
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