The problem
Recipe apps give you recipes that need ingredients you don't have
Every recipe app starts from the recipe and works backward to the ingredient list. You search for “chicken pasta” and get a beautiful dish that requires mascarpone, fresh tarragon, and crème fraîche — none of which you have.
KitchenDiary inverts this. It starts from your actual pantry and fridge, and generates recipes around what you already have. No shopping trip required. No recipe that was never going to happen.
How KitchenDiary works
From fridge to fork
Pantry scanning via camera
Point your phone at your fridge or pantry shelves. Vision AI identifies ingredients — down to variations like 'half a lemon' or 'leftover cooked rice' — and builds your inventory.
Constraint-aware generation
Set your dietary restrictions, intolerances, and cooking skill level once. Every recipe suggestion respects them — not as a filter on top of generic results, but built into the generation itself.
Time-based suggestions
Tell it you have 15 minutes or 90 minutes. The recipes it suggests match the time you actually have, with realistic prep estimates — not 'quick' recipes that take 45 minutes.
Taste profile learning
Over time, KitchenDiary learns which cuisines, flavors, and ingredients you gravitate toward. It skews suggestions toward what you actually cook and enjoy — not what an algorithm guesses you might like.
AI stack
Visual pantry scanning
Identifies ingredients from fridge and pantry photos, including partial quantities and cooked leftovers — not just sealed packages with labels.
Recipe creation
Generates recipes from first principles given the ingredient set, constraints, and time — not just retrieving matching recipes from a database.
Taste learning
Tracks which recipes you cook, complete, and rate to build a preference profile that improves suggestions over time.
Cook what you have
Interested in KitchenDiary or building a similar AI food experience? Let's talk.
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