Home / Alternatives to M-Eats Apps Like M-Eats for iPhone and iPad
by Kevin Wang ★ 3.8 16 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 141–160 of 1,000 ranked alternatives.
TouchPoint Loyalty Limited
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Eyecall Marketing, Inc
★ 3.5 2 ratings Food & Drink Free Data updated 2026-09-06
DOTTEDSQUARE INC.
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Sivan Yassin
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Imaginations Wonders for IT
★ 5.0 4 ratings Lifestyle Free Data updated 2026-09-06
Suraj Chaudhari
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Keep Creating LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Cuisine Development LLC
★ 3.0 2 ratings Food & Drink Free Data updated 2026-09-08
Hector Guerra
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Cuisine Development LLC
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-08
Cuisine Development LLC
★ 2.3 3 ratings Food & Drink Free Data updated 2026-09-08
Cuisine Development LLC
★ 2.0 3 ratings Food & Drink Free Data updated 2026-09-08
Cuisine Development LLC
★ 1.0 3 ratings Food & Drink Free Data updated 2026-09-08
RULE 16, LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Jake Muencz
★ 5.0 1 ratings Finance Free Data updated 2026-09-06
M4 Enterprises LLC
★ 4.0 2 ratings Food & Drink Free Data updated 2026-09-06
Find Table General Trading- LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
ARAMARK Corporation
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Filippo Rovito
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Murali Kathari
Scan food, check allergens, stay safe
Scan food items using barcode or ingredient labels to identify allergens. Create personalized profiles for specific allergies. Receive alerts for hidden allergens and cross-contamination risks.
★ 5.0 2 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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