Home / Alternatives to iFoodTrack Apps Like iFoodTrack for iPhone and iPad
by FBotLogic Solutions Inc. ★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 721–740 of 1,000 ranked alternatives.
Daniel Unapanta
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Hajime Sasaki
★ 0.0 0 ratings Education Free Data updated 2026-10-02
NutriFit Technologies Ltd
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
GABRIEL JOHN BEAI I Y
★ 5.0 3 ratings Health & Fitness Free Data updated 2026-09-06
jeongwon Cheong
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
GLPER LIMITED
★ 4.0 4 ratings Health & Fitness Free Data updated 2026-09-06
SAMI ISMAIL
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Venatra Inc.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
SUMMIT APPS LLC
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
3D-minded
Track calories with 3D portion scans
Track daily calorie intake using 3D portion measurement and augmented reality for food and drinks. Scan barcodes for nutrient data from over 350,000 products. Log entries and view historical data.
★ 3.0 2 ratings Health & Fitness Free Data updated 2026-09-08
Angel Services Miami LLC
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Ahmed Yousef
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Igor Rudyak
★ 5.0 4 ratings Health & Fitness Free Data updated 2026-09-06
MBGames Limited
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Saud Altamimi
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Funn Media, LLC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-19
Axiom Praxis LLC
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
IGNACIO ESCRIBANO OTT
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Jakir Hossain
★ 3.5 2 ratings Health & Fitness Free Data updated 2026-09-06
家名 周
★ 4.0 4 ratings Health & Fitness 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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