Home / Alternatives to Blood Sugar Monitor - Sug AI Apps Like Blood Sugar Monitor - Sug AI for iPhone and iPad
by Gabriele Pala ★ 4.3 9 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 881–900 of 1,000 ranked alternatives.
RIFT CO
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
MUNISH JOKHANI
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Aliaksei Kislou
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
DevsLab Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Hung Van Nguyen
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
UNIKWORK SYSTEMS LLP
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Tuna Yesil
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Omer Erdem Aydemir
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Nitrotech Inc
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Bartu Kaynar
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Vansh Shah
Scan food and log macros instantly
Scan food items with the camera to instantly log calories, protein, carbs, and fats. Identify meals and snacks automatically using AI. Track macros without manual entry or database searching.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Onrival LLC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Chadly Marouane
★ 0.0 0 ratings Health & Fitness $3.99 Data updated 2026-09-06
VITAWAY E-CLINIC LTD
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Mohamed MESBAHI
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
OG NUTRITION
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
The Ohio State University
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
LITE AI TECHNOLOGY PTE LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Gxlab Inc
★ 0.0 0 ratings Medical Free Data updated 2026-09-06
Europos IT, UAB
★ 0.0 0 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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