Home / Alternatives to Maplescan Apps Like Maplescan for iPhone and iPad
by Carbon Studio LLC (Apps) ★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 781–800 of 1,000 ranked alternatives.
awfar market
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Mangoose, LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Placeholder LTD EOOD
★ 3.0 2 ratings Utilities Free Data updated 2026-09-06
TAIC LLC
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Luca Ulizi
Snap meals, track macros, log calories
Scan meals with the camera to automatically track calories, protein, carbs, and fats. Receive a health score with analysis of nutritional benefits and potential concerns. Set goals and monitor progress over time.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
TUNAHAN AKTAY
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
Andres Ramirez
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
DOTTEDSQUARE INC.
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Gurkan Erkus
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
BEHRAM KORKUT
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Passio Inc
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
Mefood Omics SL
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
DANIEL PETRISOR ATITIENEI
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PLUTO COACH LTD
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Wing Hei Brian Tam
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Sussex Endocrine Clinic LTD
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Meelio AI Ltd.
★ 4.5 2 ratings Health & Fitness Free Data updated 2026-09-06
Huseyin Inciler
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Featherhour LLC
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Daili Value LLC
★ 5.0 1 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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