Home / Alternatives to SnackScan Apps Like SnackScan for iPhone and iPad
by Monty Giovenco ★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 521–540 of 1,000 ranked alternatives.
FLUMO, MB
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
NANO SOFTWARES
Scan meals, log ingredients, track calories
Scan meals and ingredients using AI to identify calories, macros, and nutrients. Log meals and track daily intake of protein, carbs, fats, sugar, fiber, and more. Set personalized goals for weight loss, muscle gain, or maintenance.
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Hakeem Alraheem
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
MITSUFUJI CORPORATION
★ 0.0 0 ratings Business Free Data updated 2026-09-06
No Nasties
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Treshna Enterprises Ltd
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Giulio Mignemi
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Afriwan Ahda
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Amit Gupta
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
DEV12BR SISTEMAS E APLICATIVOS LTDA
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Fenuku Kekeli
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
MYFURTRIBE INC.
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
Diagnox LLC
★ 3.0 2 ratings Medical Free Data updated 2026-09-06
MUNISH JOKHANI
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
lohith nagaraj
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
东景 梁
★ 0.0 0 ratings Health & Fitness $1.99 Data updated 2026-09-06
Alper Beser
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
SANTIAGO MARTINEZ ANTEQUERA
★ 3.4 5 ratings Entertainment Free Data updated 2026-09-06
Zan Zagar
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Fusion Lab LLC
★ 5.0 3 ratings Lifestyle 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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