BodyPal

AI-powered calorie and macro tracker using photo recognition and barcode scanning

Lifestyle & Education Health & WellnessFreemium

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$9.99/moStarting price

2.4KMonthly visits

6Popularity

About BodyPal

BodyPal is a mobile application that uses artificial intelligence to estimate the calorie and macronutrient content of meals from photographs. Users can snap a photo of their food, and the app automatically identifies items, estimates portion sizes, and logs calories, protein, carbohydrates, fat, fiber, sugar, and sodium. The tool also supports barcode scanning for packaged foods and includes a searchable database of over three million items in 19 languages. Daily tracking includes water intake, steps, active calories from wearables, and a health score summarizing progress. Users can build and save custom recipes, track trends over weeks or months, and set personalized macro goals. The interface displays daily totals, weekly trends, streaks, and achievements to encourage consistent healthy habits without manual logging.

Key features

Photo-based meal logging with AI recognition
Barcode scanning for supermarket products
Custom recipe creation and storage
Water intake tracking with reminders
Health score combining food, water, and movement
Macro and micronutrient tracking (protein, carbs, fat, fiber, sugar, sodium)
Weekly and monthly trend analysis
Streak and achievement badges for motivation

Use cases

Daily calorie and macro tracking for weight management
Meal planning and grocery list generation from saved recipes
Nutrition monitoring for dietary conditions requiring fiber, sugar, or sodium tracking

Pros

AI-powered food recognition from photos
Barcode scanning for packaged foods
Multi-language food database (19 languages)
Syncs with Apple Health and Health Connect
Custom recipe building and meal planning

Cons

Mobile-only application (iOS and Android)
Requires internet connection for AI processing
Accuracy depends on photo quality and portion estimation

Frequently asked questions about BodyPal

What is BodyPal and how does it work?

BodyPal is an AI-powered mobile application that estimates the calorie and macronutrient content of meals from photographs. Users take a photo of their food, and the app automatically identifies items, estimates portion sizes, and logs calories, protein, carbohydrates, fat, fiber, sugar, and sodium. It also supports barcode scanning for packaged foods and includes a searchable database of over three million items in 19 languages.

Who is BodyPal designed for?

BodyPal is designed for individuals looking to track their nutrition effortlessly, whether they are fitness enthusiasts, health-conscious users, or those managing dietary goals. It suits users who prefer visual logging over manual entry and want a streamlined way to monitor their daily food intake, activity, and progress.

Does BodyPal integrate with health and fitness tracking platforms?

Yes, BodyPal syncs with Apple Health and Health Connect to automatically include steps and active calories burned from wearables in the daily tracking summary. This provides a holistic view of progress by combining nutrition and activity data in one place.

Can I track nutrients beyond calories with BodyPal?

Yes, BodyPal tracks a comprehensive range of nutrients, including protein, carbohydrates, fat, fiber, sugar, and sodium. This allows users to monitor not just calorie intake but also key dietary components often recommended by health professionals.

How accurate is the AI calorie tracking in BodyPal?

AI photo tracking in BodyPal provides a fast estimate that is accurate enough for daily tracking and trend spotting. Users can adjust portion sizes or values manually to refine the data, balancing speed with precision.

Is BodyPal available for free, and what features does the free version include?

Yes, BodyPal is free to download on the App Store and Google Play. The free version includes AI photo scanning, macro tracking, a water tracker, and progress charts, allowing users to start tracking calories and macros without upfront payment.