Home / Alternatives to Menu, please! Apps Like Menu, please! for iPhone and iPad
by Krists Krievins ★ 5.0 2 ratings Travel Free Data updated 2026-09-06
Ranked alternatives Showing 161–180 of 1,000 ranked alternatives.
36378 baked food corp.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Keystone IT Solutions Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Hazlnut, LLC
★ 4.8 4 ratings Food & Drink Free Data updated 2026-09-06
CONON TECH PTY LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Bulent Altinisik
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
RC Solution Co.
★ 2.1 18 ratings Weather Free Data updated 2026-09-10
Eighty8 Malaysian Cuisine Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Hongju Chen
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Antonio Carvalho
★ 3.7 3 ratings Education Free Data updated 2026-09-09
Qiming Lianke Technology Co.,Ltd
★ 5.0 1 ratings Utilities Free Data updated 2026-09-06
DIY LINK COMPANY LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ds Online B.V.
★ 4.6 5 ratings Utilities Free Data updated 2026-09-06
East Side Pies, LLC
★ 4.7 9 ratings Food & Drink Free Data updated 2026-09-06
Aleksandr Shershakov
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
NOODLE GROUP LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PEBLLA, INC
★ 5.0 19 ratings Food & Drink Free Data updated 2026-09-06
Piet Jonas
Translate text between languages
Translate text between languages using Google's translation service. Detect source automatically. Switch between source and destination texts. Create new emails with translated content. Supports Afrikaans, Albanian, and other languages.
★ 2.6 5 ratings Travel Free Data updated 2026-09-08
Ginilab Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
IHYBRID LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dracut House of Pizza
★ 4.8 32 ratings Food & Drink 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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