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About GunaFood

Discover the ancient wisdom behind every food you eat. GunaFood classifies 433+ foods as Sattvic (pure), Rajasic (stimulating), or Tamasic (heavy) based on classical Ayurvedic and Yogic texts -- and tells you the best time to eat each one. Ever wondered why certain foods make you feel calm and focused, while others leave you restless or sluggish? The ancient Ayurvedic tradition has answers. The three Gunas -- Sattvic, Rajasic, and Tamasic -- describe the fundamental qualities of every food and their effects on your mind, body, and spirit. WHAT YOU CAN DO: - Search any food and instantly see its Guna classification - Learn why each food is classified the way it is, with citations from the Bhagavad Gita, Charaka Samhita, and other classical texts - See the best times to eat each food (before meditation, after workout, evening meal...) and when to avoid it - Explore how preparation methods change a food's Guna - Browse educational guides for each Guna quality - Discover seasonal eating wisdom from the Ayurvedic calendar (Ritucharya) - Save your favorite foods for quick reference DATABASE: - 433 foods with complete Guna classifications - Both traditional Indian foods (dal, ghee, tulsi) and modern foods (oat milk, quinoa, dark chocolate) - Hindi and regional name aliases -- search in your language - Composite dishes (khichdi, avocado toast, paneer butter masala) WORKS OFFLINE: The entire food database is built into the app. No internet required for searching, learning, or browsing. Your data stays on your device. EDUCATIONAL, NOT PRESCRIPTIVE: GunaFood presents the traditional Ayurvedic framework as one lens for understanding food. All classifications cite classical sources. This is not medical or nutritional advice. Coming in future updates: meal logging, AI food photo scanner, and personalized guidance.

App privacy

The developer, Gowtham Kethineedi, reported these privacy practices to Apple.

Data Not Linked to You

The following data, which may be collected but is not linked to your identity, may be used for the following purposes:

  • Usage Data: Product Interaction
  • Diagnostics: Crash Data

Used for: Analytics

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