Lad - Calorie Tracker

Lad is an AI-powered nutrition tracker built to make meal logging faster, simpler, and easier. Instead of manually building every meal from scratch, Lad lets you log food in the way that fits the moment. Snap a photo, scan a barcode, scan a nutrition label, use your voice, or type what you ate. Lad then helps turn that input into a clear nutrition breakdown with calories, protein, macros, ingredients, and food quality insights. Whether you are tracking a full meal, a quick snack, a packaged item, or a custom recipe, Lad is designed to keep the process fast without hiding the details that matter. Key features: • AI calorie and macro tracking • Food photo analysis • Barcode scanning • Nutrition label scanning • Voice-based meal logging • Typed meal descriptions • Protein, carb, and fat tracking • Food quality scoring • Ingredient-level breakdowns • Weight and progress tracking • Daily nutrition insights • Fast history and meal review Lad combines AI analysis with a custom food database to calculate meals, identify ingredients, and generate nutrition summaries. Barcode and nutrition-label scans are useful for packaged foods, while photos, voice, and typed entries make it easier to log meals when exact labels are not available. Every logged meal gives you a practical view of what you ate, including calories, macros, protein, and food quality. Lad is built to help you understand your nutrition without making the process feel complicated or slow. Use Lad to: • Log meals quickly throughout the day • Track calories and macros with less manual work • Understand protein, carbs, and fats • Review food quality across meals • Scan packaged foods and labels • Keep daily progress organized • Build a clearer picture of your eating patterns Lad is designed for real daily use: simple enough for quick logging, detailed enough for meaningful nutrition tracking, and flexible enough to handle different types of meals. Nutrition estimates can vary depending on the input method and available information. Barcode and label scans usually provide the most structured data, while photo, voice, and typed entries are best for fast estimates and general meal tracking.