The food tracker built for diabetes — not for dieting.
Photo meal logs. Carb counts trusted by 250,000+ users. Glucose context when you connect a CGM. AI coaching that adapts to T1D, T2D, GDM, prediabetes, and GLP-1 contexts.
A food tracker for diabetes is an app or system used to record meals and their macronutrient composition (carbohydrates, protein, fat, fibre) for the purpose of supporting glycaemic management. Diabetes-specific food trackers differ from generic calorie counters by emphasising carbohydrate accuracy, glucose response correlation, and clinical reporting compatible with care teams.
Generic food trackers were never built for diabetes.
Calorie-counting apps optimise for weight loss. Diabetes optimises for Time in Range. The two metrics rarely align. A food tracker built for diabetes puts carb accuracy, glucose context, and clinical relevance first.
Designed for the metric that actually matters: glucose response.
Every meal is photo-logged and overlaid on your CGM curve (or pattern-tracked when no CGM is connected). The AI Nutritionist coaches based on your diabetes context, not a generic weight-loss playbook.
Built on clinical evidence.
Time in Range
Published RCT result in T1D users — measured by CGM, not self-report.
eClinicalMedicine, 2025Fewer carb errors
Versus T1D self-estimates in a head-to-head accuracy study.
JDST, 2024Pattern detection across weeks
Spots the foods, timings, and combinations that move your numbers — automatically.
AI Nutritionist · always onSNAQ is the only consumer nutrition app with peer-reviewed clinical evidence.
Validated in T1D patients on automated insulin delivery and built to extend to anyone wearing a sensor.
Source: eClinicalMedicine (The Lancet), 2025 · 53 T1D participants.
Common questions.
Do I need a CGM to use SNAQ?
How accurate is the meal recognition?
Is SNAQ free?
Do I need a prescription to use SNAQ?
Coming from MyFitnessPal or Carb Manager?
SNAQ's photo recognition + glucose context go beyond manual entry.