Home / Alternatives to SnapFood AI - Calorie Tracker Apps Like SnapFood AI - Calorie Tracker for iPhone and iPad
by Outlane, Inc. ★ 4.5 2 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 561–580 of 1,000 ranked alternatives.
Soulaimane Rezzak
★ 5.0 1 ratings Utilities Free Data updated 2026-09-06
akaani inc
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Hali Tsotetsi
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Zakaria Ferzazi
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DHAL TECHNOLOGIES LIMITED
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
ANDIEES LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
HungrX LLC
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
GENOVA Softworks
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Rakesh Bhadani
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FABRIC INFORMATION TECHNOLOGY
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Kimberly Cachia
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mihail Kulik
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ahsan Kalam
Plan meals, track expenses, and prep recipes
Plan meals based on dietary needs, budget, and cuisine preferences. Input restrictions and preferences to receive recipes with ingredients, nutritional info, and prices. Access recipes from multiple websites with source credits.
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
NIMBS LIMITED
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Vida AI Ltd
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
骐 曹
★ 5.0 1 ratings Travel Free Data updated 2026-09-06
X Reve
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
NUTRIBITAPP LLP
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Bartolome Masco Lopez
★ 5.0 2 ratings Food & Drink $4.99 Data updated 2026-09-06
MRN GROUP LLC
★ 5.0 2 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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