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 201–220 of 1,000 ranked alternatives.
HUNGRRR LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Prime Three LLC (CA)
★ 4.1 13 ratings Food & Drink Free Data updated 2026-09-06
Craver Solutions Inc.
★ 5.0 15 ratings Food & Drink Free Data updated 2026-09-06
Quick Bite Inc
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
SISKH Co,.Ltd.
★ 4.0 1 ratings Food & Drink Free Data updated 2026-09-06
Aditya Bansal
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Soban LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
TAKER, OOO
★ 4.9 17 ratings Food & Drink Free Data updated 2026-09-06
KUBERSOLUTIONS LLC
★ 5.0 5 ratings Food & Drink Free Data updated 2026-09-06
Frame Sixty Labs LLC
Translate text, objects, and locations
Translate text, objects, and spoken words in real time. Support over 100 languages. Use voice or text input. Identify food, locations, and items. Provide translations and descriptions for the visually impaired. Share translated content.
★ 4.4 7 ratings Utilities Free Data updated 2026-09-10
Mostafa Mousavi
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SIMYA LABS COMPANY LIMITED
★ 4.3 18 ratings Travel Free Data updated 2026-09-06
Amy Hu
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DAN BEE KIM
★ 5.0 3 ratings Stickers $0.99 Data updated 2026-09-06
Qmanja Solutions Private Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PEBLLA, INC
★ 4.9 9 ratings Food & Drink Free Data updated 2026-09-06
Bite Technology Limited
★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
Muravell LLC
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Shanghai Jushita Network Technology Co., Ltd.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Emil Gainanov
★ 0.0 0 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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