Home / Alternatives to Patterns: Background wallpaper Apps Like Patterns: Background wallpaper for iPhone and iPad
by Sergey Vanichkin ★ 0.0 0 ratings Utilities Free Data updated 2026-09-26
Patterns: Background wallpaper screenshots Ranked alternatives Showing 641–660 of 1,000 ranked alternatives.
East Frisia LLC
Backgrounds with one tap
Backgrounds from photos using AI-powered detection. Edit portraits with specialized people recognition. backgrounds from product images with precise edge detection. Export edited images in high quality.
★ 5.0 1 ratings Graphics & Design Free Data updated 2026-09-06
Zhuhai Ltech Technology Co., Ltd.
★ 4.0 1 ratings Utilities Free Data updated 2026-09-13
Semen Abramenko
★ 1.0 1 ratings Photo & Video Free Data updated 2026-09-06
树浩 李
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
FEYZA NUR AY
★ 5.0 2 ratings Utilities Free Data updated 2026-09-06
IMPACT GIL SERVICE INC
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
yusuf kildan
★ 4.0 2 ratings Photo & Video Free Data updated 2026-09-06
Laigang Wang
★ 5.0 2 ratings Utilities Free Data updated 2026-09-06
Anhui Fengji Future Technology Co., Ltd.
★ 5.0 2 ratings Utilities Free Data updated 2026-09-06
Procyon Inc
★ 5.0 2 ratings Productivity Free Data updated 2026-09-06
Yaroslav Kozubovskyi
★ 0.0 0 ratings Graphics & Design Free Data updated 2026-09-06
小虎 周
★ 5.0 1 ratings Graphics & Design Free Data updated 2026-09-06
锐洪 李
★ 5.0 1 ratings Graphics & Design Free Data updated 2026-09-06
Ahmad Burghol
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Alastair Mooney
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Ethan Ward
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
Aginova Sarl
★ 0.0 0 ratings Utilities Free Data updated 2026-09-17
SMOB JOINT STOCK COMPANY
★ 0.0 0 ratings Graphics & Design Free Data updated 2026-09-06
PixelPunk Inc.
★ 5.0 1 ratings Photo & Video Free Data updated 2026-09-06
Tiger Ng
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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