Home / Alternatives to Cleaner - Clean for iPhone Apps Like Cleaner - Clean for iPhone for iPhone and iPad
by Viet Bi ★ 4.4 348 ratings Utilities Free Data updated 2026-09-06
Cleaner - Clean for iPhone screenshots Ranked alternatives Showing 941–960 of 1,000 ranked alternatives.
Jaya Ben
★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
Vishwesh Pratap Singh
Delete photos with a simple
AI identifies duplicates, similar photos, blurry images, and screenshots. Users can to delete or keep items. Smart categories organize photos by type like WhatsApp images and large files. Blur detection removes out-of-focus photos on iOS 18+.
★ 5.0 1 ratings Utilities Free Data updated 2026-09-06
siriwit nambutdee
★ 1.0 1 ratings Utilities Free Data updated 2026-09-06
AppYogi Software
★ 0.0 0 ratings Utilities $9.99 Data updated 2026-09-12
Rubikon Teknoloji Limited Sirketi
★ 0.0 0 ratings Productivity Free Data updated 2026-09-20
Arvind Murali
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
芳婷 林
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Javid Multani
★ 1.0 1 ratings Utilities Free Data updated 2026-09-06
阳 杨
★ 3.0 1 ratings Utilities Free Data updated 2026-09-06
THK Global Limited
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
波 宋
★ 0.0 0 ratings Utilities $1.99 Data updated 2026-09-19
Guangzhou Dianwan Network Technology Co., Ltd.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Trend Micro, Incorporated
★ 0.0 0 ratings Utilities Free Data updated 2026-09-11
Trendest Insight SRL
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Serhan Elmali
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Volodymyr Kravets
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Mykhailo Kutovyi
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
萍 魏
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
LEAN ASIA CO., LTD
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Serhii Kushnir
★ 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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