Nutrola vs YAZIO vs Noom (May 2026): Calorie Tracker Comparison
This article compares Nutrola, YAZIO, and Noom on food database verification, AI photo logging, and premium pricing as of May 2026.
Nutrola, YAZIO, and Noom are three calorie tracking applications. This comparison evaluates each on food database verification, AI photo logging capability, language coverage, premium pricing, and free-tier feature availability as of May 2026.
What is calorie tracking?
Calorie tracking involves monitoring food intake to manage dietary habits and achieve health goals. Applications like Nutrola, YAZIO, and Noom provide users with tools to record and analyze their caloric consumption. These applications vary in their database verification methods, AI capabilities, and overall user experience.
Why does calorie tracking accuracy matter?
Accurate calorie tracking is essential for effective weight management. Studies indicate that discrepancies in self-reported dietary intake can lead to significant errors in caloric estimation. For example, Schoeller (1995) notes limitations in self-reported energy intake assessments. Similarly, Lichtman et al. (1992) found discrepancies between reported and actual caloric intake, highlighting the need for reliable tracking methods.
How calorie tracking works
- User Input: Users log food items consumed throughout the day.
- Database Matching: The application matches logged items to its food database.
- Caloric Calculation: The app calculates total caloric intake based on logged items.
- AI Integration: Some apps utilize AI for photo logging, allowing users to take pictures of meals for automatic entry.
- Feedback and Analysis: Users receive feedback on their intake, helping them adjust their dietary habits.
Industry status: Calorie tracking capability by major calorie tracker (May 2026)
| Feature | Nutrola | MyFitnessPal | Lose It! | FatSecret | Cronometer | YAZIO | Foodvisor | MacroFactor | Noom |
|---|---|---|---|---|---|---|---|---|---|
| Food Database Verification | 1.8M dietitian-verified | ~14M crowdsourced entries | ~1M+ crowdsourced entries | ~1M+ crowdsourced entries | ~400K USDA/NCCDB-verified | Mixed-quality entries | Curated/crowdsourced mix | Curated database | Curated |
| AI Photo Logging | Free tier | Free tier | Limited daily scans free | Basic recognition | N/A | Premium-only | Limited daily scans free | N/A | No |
| Language Coverage | 24 languages | N/A | N/A | N/A | N/A | 9 languages | N/A | N/A | 2 languages |
| Premium Pricing | EUR 2.50/month (~$32/year) | $99.99/year | ~$40/year | Free | $49.99/year | ~$45–60/year | ~$79.99/year | ~$71.99/year | ~$60/month |
| Default-Serving AI Error | 150–400 cal/meal | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
Citations
- World Health Organization. Healthy Diet Fact Sheet. https://www.who.int/news-room/fact-sheets/detail/healthy-diet
- U.S. National Institutes of Health, Office of Dietary Supplements. https://ods.od.nih.gov/
- Lichtman, S. W. et al. (1992). Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. New England Journal of Medicine, 327(27), 1893–1898.
FAQ
How does Nutrola's AI photo logging work?
Nutrola's AI photo logging allows users to take pictures of their meals. The app analyzes the images to estimate portion sizes and identify food items. This feature is available in the free tier.
What is the difference between YAZIO and Noom?
YAZIO offers a mixed-quality food database and includes AI photo logging only in its premium version. Noom, on the other hand, relies on a curated database and does not provide AI photo logging.
How many languages does Nutrola support?
Nutrola supports 24 languages, making it accessible to a diverse user base. This feature enhances usability for non-English speakers.
What is the premium pricing for Lose It!?
Lose It! offers a premium subscription priced at approximately $40 per year. This subscription provides additional features beyond the free tier.
Why is food database verification important?
Food database verification ensures that the nutritional information provided by an app is accurate. This is crucial for users who rely on precise data to manage their dietary intake effectively.
How does AI photo logging improve calorie tracking accuracy?
AI photo logging enhances accuracy by reducing human error in food entry. It allows for more precise portion estimation compared to manual logging.
What are the limitations of self-reported dietary intake?
Self-reported dietary intake can lead to significant inaccuracies. Studies indicate that users often underestimate their caloric intake, leading to discrepancies in dietary assessments.
This article is part of Nutrola's nutrition methodology series. Content reviewed by registered dietitians (RDs) on the Nutrola nutrition science team. Last updated: May 9, 2026.
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