Home / Alternatives to AI Object & Background Eraser Apps Like AI Object & Background Eraser for iPhone and iPad Remove backgrounds from photos
Edit photos by removing and replacing backgrounds using AI-powered tools. Cut out people or objects with precise edges. Add custom backgrounds, blur backgrounds, or erase unwanted areas. Save edited images in various formats.
by BEES Nest Limited ★ 4.1 32 ratings Photo & Video Free Data updated 2026-09-06
Ranked alternatives Showing 941–960 of 1,000 ranked alternatives.
Star 48
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
NexiFie L.L.C-FZ
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
ZYSOFT LIMITED
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
Hitesh Gondaliya
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
Lucas Yamashita
★ 0.0 0 ratings Utilities Free Data updated 2026-09-14
Beebz, Inc.
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
Shitalben Parasania
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
方成 印
★ 0.0 0 ratings Graphics & Design Free Data updated 2026-09-06
CHAYMAE AAFER
★ 0.0 0 ratings Graphics & Design Free Data updated 2026-09-06
YI CHENG CHANG
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
Pic Slideshow Maker Limited
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Pankaj Varu
★ 0.0 0 ratings Graphics & Design Free Data updated 2026-09-06
Jalpa Jagani
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Sonani Bharatbhai
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
秀英 朱
★ 0.0 0 ratings Graphics & Design $7.99 Data updated 2026-09-13
Sen Stellar Co., Ltd.
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
Emil Frey AG
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
Ivan Blajic
★ 0.0 0 ratings Graphics & Design Free Data updated 2026-09-06
Halil Can GUNDUZ
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
Muhammad Fahreja ghifari
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
Previous Next