Home / Alternatives to E-Scan Apps Like E-Scan for iPhone and iPad
by TechMed 3D Inc. ★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 601–620 of 1,000 ranked alternatives.
Hit Squad Elite LLC
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Aditya Gaba
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
The Raleigh Racquet Club Inc.
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Ikhwan Noorsetyo
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Viral Works Pte. Ltd.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Taika3D Oy
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Sankalp Singh
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Viktor Cvetanovic
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Sham Rasheed
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
VESIGN d.o.o.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Louis Oktovianus
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MCW Handelsgesellschaft m.b.H.
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Kendon Howard
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
ReTiSense Tech India Private Limited
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Medisnap Limited
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
DATACARING POSTUREPEDIC TECHNOLOGY (HK) LIMITED
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Syed M Abdul Rehman
Scan food and calories
Allows users to log meals by scanning food items. It provides estimated calorie and macro information based on the scan. Users can nutritional data against daily goals. The offers menu breakdown for restaurant meals.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Edge Life Technologies LLC
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Ai Highway Inc
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Onyi Esu
★ 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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