AI Wine Label Scanner

Snap a Wine Label, Get the Grape, Region & Pairing

Photograph the label and send it to @vustbot: it reads the text printed on the bottle, then answers whatever you ask next — the grape, the region, the tasting profile, the serving temperature, what to eat with it — in plain English, in the chat you already have open. Free tier, no card. Reference knowledge, not a crowd-rating database.

Grape · region · tasting notes · pairings — free in Telegram.Reference knowledge, not crowd ratings
Grape & regionTasting notesFood pairings

Scope

How the reading works — and what it won't give you

@vustbot reads the text printed on the label you photograph, then answers from there — so it is only as good as what the camera can actually make out. Send the photo on its own and ask your question in the next message. A stylised, worn or picture-only label may come back unreadable, and when that happens it asks for a clearer shot or the name typed out rather than guessing at a wine; a partly-readable one is the case to watch, because it can answer confidently about the wrong bottle, so check the name it reads back. The photo is handled by an external AI service to pull the text out, so stick to bottle labels and keep personal documents out of the chat. And the knowledge itself is reference knowledge — grape, region, style, pairing — not Vivino-style crowd ratings from millions of real drinkers. For an average-score-of-real-people number on a specific vintage, a crowd-rating database is the tool, and no answer here will know tonight's price or whether the shop in front of you has the bottle.

The sample reading on this page illustrates the shape of an answer; it is not a captured scan of a real bottle.
Specimens

See the difference

The moment, an illustrative reading, and the weakness versus a crowd-rating database.

The moment

In the aisle, or at the table

You're standing in front of a wall of bottles, or a waiter hands you a list, and the label says 'Château Something 2019, Appellation d'Origine Contrôlée' and nothing else you can act on. You don't know the grape, whether it's dry or sweet, or what it goes with. You pick on price and hope.

What you actually want

Not a sommelier course — just to know: what grape is this, where's it from, will I like it, and what do I eat with it? The thirty seconds of guessing turned into a conversation you can decide from.

What comes back (illustrative)

Sample shape of an answer — illustrative, not a captured scan

Grape: Nebbiolo (100%). Region: Barolo DOCG, Piedmont, Italy. Style: dry red, high tannin, high acidity, medium body. Tasting notes: rose, tar, dried cherry, leather. Serve: 16–18°C, decant 1 hour. Pairs with: braised beef, mushroom risotto, aged hard cheese, truffle dishes.

What you'd do with it

Buy with confidence, or swap for something better-matched to tonight's dinner. This block illustrates the shape of an answer rather than reproducing one: the facts come from a language model's reference knowledge, not from a verified crowd-rating database.

Weakness

What an LLM reading is NOT

It is not a crowd rating. Vivino's real strength is 70M users pouring millions of real tasting scores into a database of ~16M wines (Sensor Tower, Jun 2026) — so 'this exact bottle, this vintage, 4.1 stars from 8,400 people' is something only a crowd database can give.

What it IS good for

Grape, region, style, serving and pairing knowledge — the reference-book layer, on demand, in the chat you already use. For an average-score-of-real-drinkers number on a specific vintage, a crowd-rating app is the tool; an LLM should not fake that.
Practical use cases

Who the label read helps

The person in the wine aisle
A wall of unfamiliar bottles and a label that only says the estate and vintage
The grape, the region, whether it's dry or sweet, and what to eat with it — enough to pick a bottle on purpose instead of on price.
Diners reading a wine list
A restaurant list of names you don't recognise and no sommelier to ask
A quick read on the grape and style behind a name, so you order something you'll actually enjoy with the meal.
Curious drinkers building taste
You liked a wine and want to understand why — grape, region, what's similar
A plain-English tasting profile and pairing notes that turn a lucky pick into knowledge you can reuse next time.
How it works01–03

What comes back

  1. 01

    Grape & region

    The grape variety (or blend) and where it's from — the appellation decoded into normal words.

  2. 02

    Tasting notes & style

    Dry or sweet, light or full, the aromas and flavours to expect — the reference-book profile, on demand.

  3. 03

    Food pairings

    What to eat with it and how to serve it — the classic matches a sommelier would suggest.

Same tool · in Telegram@vustbot

Read a wine label in Telegram

Photograph the label or type the name — @vustbot comes back with the grape, region, tasting notes and pairings. Free tier, no card, no signup.

Open in Telegram
Quality & trust

What this is and isn't

It reads the label's text, not the bottle

@vustbot pulls the printed text off the photo and answers from there, so crisp type in any language reads well while ornamental script, a worn label or a mostly-pictorial one may not. When the text doesn't come through it asks for a clearer shot or the typed name instead of guessing at a wine. The photo is handled by an external AI service to extract that text, so keep to bottle labels.

Reference knowledge, not crowd ratings

The answer is language-model reference knowledge — grape, region, style, pairing — not Vivino-style crowd ratings from millions of real drinkers. For an average-score-of-real-people number on a specific vintage, a crowd-rating database is the right tool. No star counts, and no shelf price or local stock either.

Typing works just as well

If you can read the name off the bottle, type it: 'what grape is Chablis?', 'what pairs with Malbec?' — same free tier, same answer. The photo is there for the labels you'd rather not transcribe.

FAQ

Frequently asked questions

Can I photograph a wine label and get an answer?

Yes. Send the photo to @vustbot and it reads the text printed on the label — producer, appellation, vintage, whatever the bottle actually says — and answers from there. Send the photo on its own and then ask what you want to know in the next message: the grape, the region, whether it's dry or sweet, how to serve it, what to eat with it. Free tier, no card. Two limits worth knowing. It reads the label's text rather than recognising the bottle visually, so a heavily stylised, worn or picture-only label may not come back readable — when that happens it says so and asks for a clearer shot or the name typed out. And a partly-readable label can produce a confident answer about the wrong bottle, so check the name it reads back before you buy. Typing the name always works too.

How is this different from Vivino?

Vivino's core is a crowd-rating database — ~70M users, millions of real tasting scores across ~16M wines, and it was the #4-grossing Food & Drink app in the US with roughly $400K/month revenue (Sensor Tower, Jun 2026). That average-of-real-drinkers rating on a specific vintage is Vivino's genuine moat and @vustbot cannot fake it. What @vustbot gives instead is the reference layer — grape, region, style, tasting profile, food pairings — on demand. Different job: knowledge and pairing in a chat, not a crowd score.

Are the tasting notes real, and are there ratings?

The tasting notes and pairing suggestions are genuine reference knowledge — grape characteristics, regional style, classic pairings — the kind of thing a wine book or a sommelier would tell you. Ratings are a different matter, and the answer is that you won't get one: @vustbot has no measured average of real drinkers, so there are no star counts here and no invented '4.2 from 5,000 reviews.' For a crowd score on a specific bottle and vintage, a crowd-rating database is the right tool. It also can't know tonight's price or whether the shop in front of you has it.

Why Telegram instead of a separate app?

Because a wine question happens in a shop aisle or at a restaurant table — exactly the moment you'd rather not install and register a new app. The chat is already open: photograph the label or type the name into @vustbot, then keep asking in the same conversation. No account to create, no download while the waiter waits, and nothing to uninstall afterwards.

What else can I ask @vustbot about wine?

Anything you'd ask a knowledgeable friend, typed or photographed. What grape is in a wine you name, what a region's wines taste like, what to pour with a specific dish, how to read an unfamiliar appellation, whether a style is dry or sweet, what to serve a guest who says they only like reds. It answers as general AI chat, free tier, no card — and you can keep going in the same conversation, narrowing by budget or by what's actually on the shelf in front of you.

Is this useful if I'm not a wine expert?

That's exactly who it's for. Experienced drinkers already recognise producers and vintages; the person staring at an unfamiliar label with no idea where to start is the one who benefits from 'here's the grape, here's the style, here's what it goes with.' It's orientation for the everyday bottle-buying and menu-ordering decisions where a sommelier isn't standing next to you — not a replacement for one when you want a truly authoritative call.

Ready when you are

Snap a label, get the grape, region & pairing.

Photograph the bottle and @vustbot reads the label's text, then explains it in plain English — free, in Telegram. Reference knowledge, not crowd ratings.