Beautiful tracker, no glucose model.
Yazio is the cleanest calorie counter in Europe, with intermittent fasting built in. SNAQ adds the layer Yazio doesn't have: a validated glucose model that turns meals into actionable guidance.
In short.
Yazio is a polished European calorie counter with intermittent fasting and a Pro-tier AI photo scanner that Yazio itself describes as a 'rough estimate'. SNAQ is an AI nutritionist for diabetes, prediabetes and GLP-1 users, with photo carb counting validated at 5.5 g mean absolute error, a personal glucose model, and a published RCT in eClinicalMedicine. Yazio fits sustainable weight loss; SNAQ fits glucose-driven goals.
At a glance.
- Yazio's AI Calorie Tracking is Pro-only and self-described as a rough estimate, with independent reviews placing it at ~6% calorie deviation.
- SNAQ cross-references meals, glucose, insulin, activity and weight to surface patterns Yazio's calorie tracker can't, with weekly progression summaries.
- SNAQ photo carb counting is validated at 5.5 g mean absolute error against lab-verified meals (Herzig 2020, JMIR mHealth).
- SNAQ has a personal glucose response model and integrates with 20+ CGMs and wearables. Yazio has no glucose model.
- Both tools are global. Yazio has a free tier with paywalled barcode and AI photo. SNAQ Premium is $2.66/mo on the 3-year plan with a 7-day free trial on App Store and Play Store, plus a 30-day money-back guarantee on web purchases.
- Yazio's intermittent fasting workflow is a strength SNAQ does not aim to replicate.
Feature by feature.
Structured comparison based on publicly available information, last reviewed May 2026.
| Feature | SNAQ | Yazio |
|---|---|---|
| Primary goal | Diabetes, prediabetes, GLP-1, metabolic health | Sustainable weight loss, intermittent fasting |
| Photo meal logging accuracy | Validated at 5.5 g mean absolute carb error (peer-reviewed) | Pro-only AI scan, self-described as "rough estimate" |
| Cross-data pattern insights | ✅ Across meals, glucose, insulin, activity and weight; weekly progression and simple summaries | ⚠ Calorie/macro trend insights (Pro), no glucose data |
| Glucose prediction | ✅ | ❌ |
| CGM and device coverage | ✅ 20+ devices direct | ⚠ Apple Health only |
| Intermittent fasting tracking | ⚠ Not the core focus | ✅ Category-defining feature |
| Peer-reviewed clinical evidence (product-specific) | ✅ RCT, eClinicalMedicine 2025 | ❌ |
| Nutrient coverage | Calories, carbs, protein, fat, fibre with glucose-impact context | 28 nutrients tracked |
| Pricing | From $2.66/mo (3-year plan), 7-day free trial | Free + ~$47.90/yr Pro |
| Best for | People whose food decisions are glucose-driven | People doing sustainable weight loss with fasting windows |
Sources: Herzig D. et al., JMIR mHealth and uHealth, 2020 (carb counting accuracy) Piazza et al., eClinicalMedicine 2025 (RCT NCT05671679, Time-in-Range) SNAQ research overview Yazio Help Center: AI Calorie Tracking Feature Yazio Review 2026, calorie-trackers.com
Why users switch.
Validated accuracy, not 'rough estimate'
Yazio's own help centre describes its AI scan as approximate. SNAQ is validated against lab-verified carbs at 5.5 g mean absolute error.
Glucose context, not just calories
If you're on a GLP-1 or managing prediabetes, calories aren't the whole picture. SNAQ overlays your CGM data and forecasts the next meal.
Try before you commit
Yazio's barcode scanning and AI photo logging are Pro-only. SNAQ offers a 7-day free trial on App Store and Play Store, plus a 30-day money-back guarantee on web purchases.
Honest take.
Choose SNAQ if…
- Diabetes, prediabetes or a GLP-1 medication is part of your reality.
- You want photo logging accuracy that has been independently measured.
- You wear a CGM or wearable and want a single hub.
Consider Yazio if…
- Intermittent fasting is your primary protocol.
- Your goal is general weight loss and you like Yazio's design and recipe library.
Bottom line
Yazio is the polished European calorie counter for weight loss with fasting. SNAQ is the AI nutritionist for diabetes and metabolic health. Different jobs.
Published randomised controlled trial evidence, measured against standard care in T1D patients on automated insulin delivery systems.
Source: eClinicalMedicine (The Lancet), 2025 · Piazza et al. · NCT05671679
Frequently asked.
What's the main difference between SNAQ and Yazio?
Is the clinical evidence for SNAQ independently verified?
Which CGMs and devices does SNAQ work with?
Does SNAQ support intermittent fasting?
How accurate is Yazio's AI photo recognition?
See the difference yourself.
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