Short answer
Pick MyFitnessPal if you want the biggest food database, barcode scanning on everything, and proven calorie-tracking for weight loss. Pick Aloe AI if you want to figure out which specific foods make you bloat, crash, or feel bad 2 hours later. These are different kinds of apps built for different questions.
MyFitnessPal at a glance
Fifteen-year-old incumbent. 20-million-item food database. Barcode scanner that recognizes nearly every packaged food. Macro tracking, exercise logging, fitness-tracker integrations, recipe importer, progress photos, and community features. Free tier exists but is ad-supported and feature-limited. Premium at $19.99/month or $79.99/year. Strengths: unmatched database depth, data export, decade-plus of user history for existing users. Weaknesses: free tier increasingly restricted, UI dated compared to AI-first competitors, innovation velocity slowed after two private-equity acquisitions.
Aloe AI at a glance
Pre-launch as of April 2026, focused on food-to-feeling correlation rather than calorie counting. Log meals by photo or text. Aloe checks in 1 to 4 hours later on how you felt, tracks Apple Health context (sleep, activity, heart rate), and over 2-4 weeks surfaces personal patterns like "you bloat 80 percent more on days with dairy plus carbs within 2 hours." Strengths: the feedback loop is unique, the personalization compounds over time, Apple Health integration provides context no other tracker captures. Weaknesses: not a calorie tracker in the traditional sense, app is not yet publicly available, value takes 2-4 weeks of consistent use to fully materialize.
Pick MyFitnessPal if
- Your primary goal is weight loss via a calorie deficit
- You want precise macro tracking (bodybuilding, medical diet, athletic performance)
- You eat many packaged foods and barcode-scan often
- You have existing MFP data you do not want to abandon
- You are comfortable with a mature but slow-moving product
Pick Aloe AI if
- You feel bad after eating and cannot figure out why
- You have tried low-FODMAP, dairy-free, gluten-free without finding the trigger
- Calorie accuracy matters less than finding your personal food-feeling patterns
- You want an AI coach that learns your body rather than a tracker that forgets each day
- You can wait for pre-launch access (or sign up for early notification)
Where they overlap
Both support iOS. Both integrate with Apple Health. Both have mobile-first experiences. Both can technically handle meal photos (MFP added AI photo recognition via the Cal AI acquisition in March 2026). Both cost roughly $70-80 per year for paid tiers. A user could theoretically use both, with MFP handling quantity tracking and Aloe handling quality feedback. The double-logging burden is the main friction.
Where they genuinely differ
MyFitnessPal stops at "you ate 620 calories, 32g protein, 58g carbs." Aloe AI asks "how did you feel 2 hours later" and builds a personal profile from the answer. This is the core product difference. A 620-calorie grain-bowl feels different than a 620-calorie bagel. MFP treats them as equivalent. Aloe treats the difference as the point. For pattern-seekers, this changes the tool from a tracker into a detective.
MFP's moat is database depth and brand incumbency. Aloe's moat is the food-feeling correlation data that accumulates over time. Neither moat protects the other. For context on how food-to-feeling tracking actually works, see how to track food-feeling. For a more head-to-head AI-native comparison, see Aloe AI vs Cal AI.
Bottom line
If you already know what foods work for you and just want to track calories, MyFitnessPal wins on database depth and maturity. If you do not know why you feel bad after eating and want an app that helps you figure that out, Aloe AI is built for that question and MFP is not. The right pick depends on which question you are actually trying to answer, which is worth clarifying before installing anything.
