So what can youactuallydo with them?
You canisolate subjects in photosincluding people, pets, and inanimate objects like signs or clothing.
To do this, long-press a photo and use the Quick Actions menu to Remove Background.
Hannah Stryker / How-To Geek
Youll find stickers in the + plus menu that appears alongside the compose box in a Messages conversation.
you’re free to create static and animated stickers.
Animated stickers are created from Live Photos, while static stickers can come from any kind of photo.
Tim Brookes / How-To Geek
This will create a static sticker.
you’re able to also add additional visual effects.
To remove a sticker, tap and hold it and choose Delete.
Your stickers will sync between devices thanks to the wonders of iCloud.
ApplesFreeform might just be the best toolfor the job.
you might then move, scale, and arrange your mood board accordingly.
Mood boards can be fun and functional.
If youre into this sort of thing, subject isolation can be a valuable tool.
For best results, keep your lighting, posing, and orientation consistent between images.
Tim Brookes / How-To Geek
For more obscure visual logs, this could require a little more care.
Instagram seems to be the only social internet that can take advantage of this trick.
This can help emphasize the subject and remove untidy or distracting elements from your image.
Tim Brookes / How-To Geek
For rough and ready memes and quick designs, Freeform might be the best app for the job.
Publishing apps likeApple PagesandGoogle Docs, in addition to slideshow tools likeGoogle SlidesandApple Keynotealso natively support the feature.
Design and layout apps likeCanvaandPicCollageboth support pasting of subjects once theyve been copied to your clipboard.
In most cases, all you oughta do is tap or long-tap and select Paste.
Sometimes youll find this option underneath an ellipsis … menu instead.
Many apps support the feature, you just need to experiment.
This will create a PNG image with a transparent background, ideal for use in projects.
Isolating subjects is made possible using machine learning, where Apple has trained its software to recognize subjects.
