Home / Alternatives to OMAD Snap! Apps Like OMAD Snap! for iPhone and iPad
by Arbor Apps LLC ★ 5.0 4 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 461–480 of 1,000 ranked alternatives.
Heri Atmaja
★ 1.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Goran Ugresic
★ 1.0 2 ratings Health & Fitness Free Data updated 2026-09-06
Jerseykit LTD
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
James Mackenzie
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-28
Metehan Gurgentepe
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
VMGM Software LLC
★ 5.0 4 ratings Health & Fitness Free Data updated 2026-09-06
Brianlite Private limited
★ 3.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Aiden Price
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Chad Volant
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Jaewoo Park
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Root Labs OU
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
FILIN Solutions - F.Z.E
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Omer Kadir Kurt
★ 3.0 2 ratings Health & Fitness Free Data updated 2026-09-06
Zentra AI LLC
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
Eric Rosenbaum
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Ilya Tkach
★ 4.3 6 ratings Health & Fitness Free Data updated 2026-09-06
Mirsad Hasic
★ 2.3 3 ratings Health & Fitness Free Data updated 2026-09-12
乃鑫 李
Snap and track your meals automatically
Track calories by snapping photos of meals with AI recognition. Log nutrients automatically. Set daily goals and monitor progress. Sync data across devices. Receive personalized feedback based on dietary patterns.
★ 4.8 6 ratings Health & Fitness Free Data updated 2026-09-06
Zoran Sasko
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Irem Karaoglu
★ 4.3 6 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.
Previous Next