Home / Alternatives to Meal Eyes AI Apps Like Meal Eyes AI for iPhone and iPad
by Thomas Register ★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 441–460 of 1,000 ranked alternatives.
Anuradha Agarwal
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Trevor Shires
★ 5.0 3 ratings Health & Fitness Free Data updated 2026-09-06
PT Patel
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Daniil Gerasimenko
★ 4.7 3 ratings Health & Fitness Free Data updated 2026-09-06
COCOPALMS TECH WEB DESIGN COMPANY
★ 5.0 8 ratings Food & Drink Free Data updated 2026-09-06
PlateLicker, Inc.
★ 5.0 11 ratings Social Networking Free Data updated 2026-09-06
Aalto Studio FZE
★ 3.7 3 ratings Food & Drink Free Data updated 2026-09-06
Refactor Consulting Ltd
★ 3.7 3 ratings Food & Drink Free Data updated 2026-09-06
Tarik Kasbaoui
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Health Apps LLC
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
krffl llc
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
DANIEL ALEX FLIJMBAN
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Remy Noel
★ 4.5 6 ratings Food & Drink Free Data updated 2026-09-06
Allyson, Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ghalia Kattan
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nishant Joshi
★ 5.0 4 ratings Food & Drink Free Data updated 2026-09-06
SafeAgain Technologies LLC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Kevin Matanovic
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Aldrean Smith
Track meals, log calories, monitor nutrition
Log meals by scanning barcodes or searching for foods. Track calories, macronutrients, and micronutrients. Set daily goals and receive progress updates. Sync data across devices and view detailed nutritional reports.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
My Dear LLC
★ 4.5 11 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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