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 241–260 of 1,000 ranked alternatives.
CodeOne Energy LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
ABDUL BASITH KHAN
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FOOD HUB GROUP LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Fetullah Topal
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-10
Logisch Technologies Private Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Takemax LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Simber Tech
See dishes, snap menus, get visuals
Convert restaurant menus into visual guides by snapping photos or uploading documents. View real images of dishes to make informed choices. Translate menu items into multiple languages for travelers. Share menu visuals with others for reference.
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
eSign
★ 5.0 7 ratings Food & Drink Free Data updated 2026-09-06
ORDER AI LLC
★ 4.4 8 ratings Health & Fitness Free Data updated 2026-09-06
Nexever Private Limited
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
KUBERSOLUTIONS LLC
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Naoki Takahashi
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
STANLEY AVE TACOS LLC
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Benedikt Gottstein
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Lucian Simo
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
The taco company LLC
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
LIAKAT ALI
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Pita Pita, LLC (CA)
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
ANNURDIEN RASYID
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ginilab Ltd
★ 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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