Scan the bottle
Point at any label. WineMe identifies it, prices it, and scores it against your palate.
Ask it what to drink tonight — or point the camera at any bottle or menu. WineMe answers like a sommelier: the bottle, the price, and exactly how well it fits your palate.
Ask like you'd ask a friend. WineMe answers like a sommelier — naming the bottle, the price, and precisely why it fits your taste, down to the percentage match against your palate.
It knows what's in your cellar, what you've rated, and what you reached for last time.
Every pick is rateable, cellarable, giftable
Hosting? Seat your guests at a virtual table and WineMe finds the pour that fits every palate in the room — the bottle nobody has to compromise on.
It reads every seated palate at once, not the average of them.
Dinner-party diplomacy, solved by math
Point at a single label and WineMe identifies it, prices it, and scores it against your palate. When a wine isn't in our library it searches the open web — Google, Shopping, Vivino.
Or hand it a restaurant wine list and it reads every bottle on the page at once, then tells you which to order before the server comes back.
Both scans, one button
Every bottle you own, valued and mapped — collection worth, drink windows, and the regions your palate keeps returning to. Your wine story, told in one glance.
Red, white, rosé, sparkling — tracked to the bottle
Follow friends, compare palates, and post the bottle with the photo of the evening attached. Rate it, write the note, and it lands in their feed.
When words aren't enough — gift the bottle itself.
Wine was never meant to be a solo pursuit






Body, sweetness, tannin, acidity. The more you pour, the sharper it gets — and the closer every recommendation lands. No other wine app is scoring bottles against you.
Point at any label. WineMe identifies it, prices it, and scores it against your palate.
Give it a number, write the note, keep the photograph. Thirty seconds, at the table.
Every rating retunes body, sweetness, tannin and acidity — so the next recommendation lands closer.