How Our AI Reads Between the Lines on Messy Menus

Ever faced a handwritten menu that looks like abstract art? Or a dish description vague enough to be a riddle? You're not alone. At mm food, our AI tackles these culinary puzzles so you can dine with confidence. Here’s how it works:

Step 1: Image Intelligence – Seeing Through the Scribbles

When you snap a photo, our advanced optical character recognition (OCR) goes beyond standard text reading. Trained on thousands of handwritten menus worldwide, it decipfers wonky cursive, ink smudges, and faded print. Curly "a" that resembles an "o"? No problem. We analyze letter structures, spacing, and even menu layouts to reconstruct words accurately.

Step 2: Context Clues Mastery – Solving the Ambiguity Puzzle

What does "Grandma’s Garden Mix" mean? Is "Market Catch" salmon or shrimp? Our AI cross-references contextual cues:

• Local ingredients (e.g., "nam pla" signals Thai cuisine)
• Cooking terms ("al ajillo" implies garlic)
• Common pairings ("trio of mushrooms" likely includes common varieties) It flags uncertain items—like sauces or unspecified meats—so you know exactly where risks might hide.

Step 3: Safety First – Filtering for Your Needs

Once dishes are translated and clarified, our system cross-checks each ingredient against your dietary profile. Vegan? It'll note hidden dairy in "creamy" descriptors. Allergic to nuts? We’ll spot unmentioned pistachios in "pesto." Ambiguous items get a caution tag, giving you clear warnings before you order.

Behind the Scenes: Continuous Learning

Every menu processed sharpens our AI. User feedback on dish accuracy trains the system further, while global culinary databases stay updated with regional terms. The result? A smarter, safer dining experience—whether you’re decoding a Parisian bistro’s chalkboard or a Tokyo izakaya’s specials sheet.

With mm food, messy menus become stress-free adventures. Snap, scan, and savor with confidence.