
About
Effortlessly track your nutrition by simply taking a photo of your meals. This AI-powered app instantly analyzes food to calculate calories, protein, carbs, and fats, providing a clear overview of your intake and helping you create personalized meal plans for your health goals.
What's New in Kalori
1.3.5
April 14, 2026
Technical infrastructure improvements.
Subscription plans
Kalori premium měsíčně
Kalori premium měsíčně
FAQ
Does Kalori have ads?
No, Kalori does not contain advertisements. The app is free to download and offers a premium subscription for its advanced food analysis features.
What are the subscription options for Kalori?
Kalori offers several subscription plans: a monthly plan for $8.99, a 3-month plan for $19.99, and an annual plan for $34.99. All plans include a 7-day free trial.
How accurate is Kalori's AI food analysis?
The app uses advanced AI to instantly recognize ingredients and calculate nutritional information. While the description emphasizes accuracy, user experience may vary based on photo quality and food complexity.
What devices does Kalori support?
Kalori is available for iPhone and iPod devices. The app was last updated on April 14, 2026, with version 1.3.5.
What is the age rating for Kalori?
Kalori has an age rating of 4+, making it suitable for a wide range of users. The app focuses on providing nutritional information and meal planning assistance.
Can I use Kalori offline?
The description does not specify offline functionality. However, the AI-powered food analysis likely requires an internet connection to process images and calculate nutritional data.
How does Kalori help with weight loss or muscle gain?
Kalori helps users achieve their fitness goals by providing an accurate overview of their food intake and calculating daily energy expenditure. It also assists in creating personalized meal plans tailored to specific objectives like weight loss or muscle gain.
What makes Kalori different from other calorie tracking apps?
Kalori differentiates itself by using AI to automatically analyze food from photos, eliminating the need for manual input or complex tables. This approach aims to simplify the diet tracking process for users.




