Apps Like Slazzer- Background Remover for iPhone and iPad
Slazzer- Background Remover screenshots
Ranked alternatives
Showing 241–260 of 1,000 ranked alternatives.


Haze - Photo Enhance, Colorize
MOBIVERSITE YAZILIM BILISIM REKLAM VE DANISMANLIK HIZMETLERI SANAYI TICARET LIMITED STI

Face Restore Color Old Photos!
Sansa Group AB
Photos and enhance details
Edit photos with AI colorization, enhancement, and restoration. Remove scratches, tears, and blurs. Convert black and white images to high-definition . Adjust clarity and brightness. Share restored photos directly.







AI Fixer - AI Photo Enhancer
Clapps LLC
Enhance photos with AI fixes
Enhance photos with AI-powered adjustments. Improve facial details and skin texture. Remove scratches and restore old images. Compare before and after edits. Save and share edited photos.

Body And Face Shape Editor App
Phoebe Crowhurst
Edit faces, refine features, enhance photos
Edit photos with retouch tools to smooth skin, remove blemishes, whiten teeth, and enhance eyes. Adjust , slim figures, and reshape proportions. Apply filters and effects to alter appearance and enhance visuals.


Viral AI Photo Editor
Spring Tech Co., Ltd.
Remove background from images
Remove backgrounds from images using AI technology. Edit and generate new backgrounds. Create transparent images for social media, e-commerce, and design projects. Tap to remove backgrounds automatically.


PhotoUp: AI Photo Enhancer Pro
Ugur Can
Enhance photos with AI upgrades
Edit photos with AI-powered enhancements, including noise reduction, color correction, and sharpness adjustments. Remove blur and improve lighting. Export enhanced images in high resolution and share directly.


SoReal AI | Face Swap Changer
Perfect365, Inc.
Create avatars for social profiles
Create AI avatars for social media profiles. Customize appearance with style options. Design virtual outfits and backdrops. Generate realistic digital personas for Instagram, TikTok, Facebook, and Snapchat.



How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.