Overview
- Get instant nutritional breakdowns for any meal—home-cooked, restaurant, or packaged—by simply taking a photo, powered by AI trained on millions of food images.
- Track calories with confidence, not guesswork, as the app shows confidence scores and provides realistic ranges instead of misleading numbers when uncertain.
- Achieve accurate portion estimation without a scale using a proprietary depth-estimation algorithm that calculates food volume from your photo.
- Maintain motivation with a personalized AI coach that tailors guidance and daily reminders to your specific dietary goals and preferences.
- Build a complete health picture by syncing your nutrition data seamlessly with Apple Health and Google Health Connect.
- Scan packaged foods instantly for detailed nutrition facts using the integrated barcode scanner and an extensive food database.
- Identify ingredients from global cuisines with AI trained on food images from over 100 countries for reliable recognition.
- Correct and customize any meal analysis by modifying individual ingredients to ensure your food log is perfectly accurate.
Pros & Cons
Pros
- Instant nutrition analysis
- Advanced image recognition technology
- Detailed calorie and nutrient breakdown
- Recognizes diverse cuisines
- Recognizes home-cooked dishes
- Recognizes restaurant meals
- Recognizes packaged foods
- Aligns coaching with user's goals
- Integrates with health tracking platforms
- Apple Health and Google Health integration
- Offers a barcode scanner
- Extensive nutrition data database
- Supports multiple languages (English and Spanish)
- Uncertainty assessment feature
- Assigns confidence scores
- Provides ranges for unknown factors
- Prompt for better photo angles
- Tested against dietitian-weighed portions
- Tested against USDA lab values
- Supports corrections and ingredient modification
- Smart Streak System for motivation
- Allows meal image corrections
- Adaptive to user's meals over time
- Multisource nutrition database
- Accurate single-item meal analysis
- Meal components automatically broken down
- Fast meal correction
- Honest about uncertainties
- Weekly database update
- New products indexed quickly
- High database accuracy
- Detects hidden ingredients
- App learns from user corrections
- Allows reused meals from history
- Fast logging and correction
- Tracks 82+ nutrients
- Provides error rates openly
- Integrated with Open Food Facts
- Integrates cooking method-specific retention factors
- Analyzes multi-component plates
- Visible confidence scoring for ingredients
- Uses photos for logging meals
- Fast and simple meal logging
- Multilingual support spans worldwide
- Track and achieve goals feature
- Performance metrics available
- Offers free trial
Cons
- Accuracy dependent on photo quality
- Unable to identify hidden ingredients
- Requires manual correction for inaccuracies
- Depends on phone camera capabilities
- Multi-language support limited to two languages
- No desktop version
- Limited to Apple Health and Google Health Connect
- No mention of food allergy detection
- No peer-reviewed method validation
- Cannot analyze drinks
Reviews
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❓ Frequently Asked Questions
PlateLens uses advanced image recognition technology to identify different ingredients in a meal from a photo. Trained on millions of labeled food images across thousands of food categories, it is capable of recognizing and categorizing a broad array of ingredients almost instantaneously for accurate nutrition analysis.
PlateLens comes equipped with an uncertainty assessment feature that assigns confidence scores at every step of food identification and portion estimation. Unlike many other apps, whenever there's any ambiguity, PlateLens offers ranges of nutrition values instead of absolute numbers. This ensures users get a realistic understanding of their calorie intake and avoids misleading information.
PlateLens employs a proprietary depth-estimation algorithm for portion estimation. It calculates the volume and weight of each identified food item using plate geometry, food density profiles, and reference object detection. This method allows for accurate portion estimation without requiring any physical props or scales.
Yes, PlateLens can recognize meals from diverse cuisines. The AI technology driving PlateLens has been trained with food images from cuisines over and above 100 countries. This gives it an exceptional ability to recognise and analyze meals from virtually any part of the world.
PlateLens's barcode scanner feature is significantly effective. It can instantaneously deliver accurate and comprehensive nutrition data for packaged goods. It leverages an extensive database for this feature, ensuring accuracy and reliability.
Yes, PlateLens is capable of accurately tracking home-cooked meals. It uses advanced image recognition algorithms to instantly analyze the photos of your meals, identify the ingredients, and estimate portion sizes. Therefore, whether your meals are home-cooked, restaurant-served, or packaged foods, PlateLens can track them accurately.
The personal AI coach in PlateLens is designed to consider the user's dietary goals and preferences. Through its continuous interaction with the user, it aligns its guidance and advice with the user's specific dietary needs, helping them reach their health and fitness goals more effectively.
PlateLens integrates smoothly with health tracking platforms like Apple Health and Google Health Connect. This allows it to provide users with a comprehensive picture of their nutrition data along with other fitness data like steps and weight. Such integrations are designed to offer users a unified and comprehensive view of their health data.
Besides English, PlateLens is also available in Spanish. The team at PlateLens understands the need for making its tool accessible to a wider user base, and hence has incorporated support for multiple languages.
In case of any ambiguities in food identification or portion estimation, PlateLens employs its uncertainty assessment feature. It assigns confidence scores and when there's ambiguity, it provides ranges instead of absolute values. This ensures that users receive realistic estimates and not potentially misleading precision.
When PlateLens's system faces low confidence in food identification due to the position or angle of the food in the photo, it prompts users to take better angled photos. This additional user interaction ensures a more accurate and reliable data output by the system.
PlateLens is engineered to provide highly reliable and accurate calorie count. It employs advanced AI, trained extensively on a vast library of food images, and sophisticated algorithms for accurate portion estimation. It also manifests culinary transparency, showing confidence scores and providing ranges when estimates are uncertain, leading to overall reliable and user-friendly calorie tracking.
Yes, PlateLens is designed to work with restaurant meals. It uses advanced AI technology to recognize and analyze a wide variety of meals, be it home-cooked, restaurant-served, or packaged foods.
PlateLens provides comprehensive nutrition data by integrating innovative technologies and vast databases. It uses advanced AI for image recognition and portion estimation, references extensive databases to match nutrients, and adjusts data based on cooking methods, thereby giving a detailed breakdown of calories, proteins, carbs, fats, and over 82+ nutrients.
Yes, PlateLens is programmed to recognize packaged foods. In addition to recognizing meals from images, it also includes a barcode scanner that can scan packaged goods and deliver instant nutrition data from an extensive database.
PlateLens handles portion estimation using a depth-estimation algorithm. This algorithm calculates the volume and weight of the identified food in an image using food density profiles, plate geometry, and reference object detection. This makes PlateLens's portion estimation sophisticated and accurate.
PlateLens provides substantial support for dietary goals and preferences through its AI Coach. This feature learns from the user's goals, preferences, and eating habits and provides personalized guidance aligned with these factors. Therefore, it offers real-time, personalized dietary advice that is aligned with the user's specific needs.
For home-cooked meals, PlateLens uses its advanced image recognition technology to identify ingredients from the photo. Trained on millions of food images across thousands of categories, it recognizes a wide array of ingredients, estimates portions, and analyzes the nutritional content in the meal.
Yes, PlateLens can recognize diverse cuisines from photos. It's trained over a wide range of cuisines from over 100 countries leading to its capabilities of recognizing meals from virtually anywhere in the world.
PlateLens is exceptionally reliable as a calorie tracking tool. Its built-in AI has been trained on millions of food images spanning thousands of categories. It uses a proprietary depth-estimation algorithm to accurately estimate portions, while its uncertainty assessment feature offers confidence scores or ranges when there's ambiguity. These combined with the ability to track home-cooked, restaurant, and packaged foods make PlateLens a dependable tool for calorie tracking.
Pricing
Pricing model
Freemium
Paid options from
$19.99/month
Billing frequency
Monthly
