Scan & Identify
Point your camera at any wine shelf or label to instantly identify every bottle. See grape varieties, regions, vintage years, and tasting notes.
Free on iOS and Android Scan Any Wine,
Scan Any Wine,
Get Instant
Recommendations
Point your camera at any wine shelf or label and VinSip identifies every bottle in seconds. Get personalized sommelier recommendations based on your taste, budget, and occasion — no wine knowledge needed.
No account, no email required No paid placements, no wine sold
3,172 Venues listed
58 Guides & reference pages
60 Cities covered
Everything in one app
Why Wine Lovers Choose VinSip
Find Wine Venues
Discover wine shops, bars, and restaurants near you or in any city worldwide. See opening hours, specialties, directions, and community ratings before you visit.
Personal Sommelier
Get AI-powered recommendations matched to your palate. Tell VinSip what you like — sweetness, body, budget — and it finds your perfect wines.
Wine Diary
Track every wine you taste. Rate bottles on a 5-star scale, add tasting notes, and build a personal history of your wine journey.
Smart Recommendations
The more you scan, the smarter VinSip gets. It learns your preferences and surfaces wines you'll actually love — no generic "top 10" lists.
Works Everywhere
Wine shops in Paris, restaurants in Rome, bars in New York. VinSip maps venues city by city and identifies wine wherever you are.
AI-powered identification
Scan Any Wine Shelf, Know Every Bottle
Hold your phone over a wine shelf and VinSip identifies every visible bottle in seconds. The scanner reads labels, back labels, and shelf tags — so it works even when bottles are tightly packed. Once identified, you see grape varieties, region of origin, vintage, and average ratings from wine communities.
- Works with shelves, single bottles, and restaurant wine lists
- Shows region, grape varieties, and vintage for each wine
- Detects duplicates from your scanning history
- Know if a wine matches your taste before you buy
Personalized recommendations
Your Personal Sommelier, Always in Your Pocket
VinSip doesn't just identify — it recommends. After scanning, you get personalized picks ranked by how well they match your taste profile. Set your preferences once — sweetness level, preferred body, budget range, occasions — and every scan delivers tailored suggestions.
- Recommendations ranked by personal match score
- Adjusts to your budget, from everyday wines to splurges
- Learns from your ratings over time
- Chat with AI sommelier for specific pairing advice
Wine diary & collection tracking
Track Your Wine Journey
Every wine you scan or taste gets saved to your personal wine diary. Rate bottles on a 5-star scale, add tasting notes, and mark wines as "Want to Try" or "Tasted". Over time, you build a rich history of your wine discoveries — see stats on your favorite regions, grape varieties, and price ranges.
- Personal wine diary with ratings and tasting notes
- Want to Try / Tasted organization
- Stats on your wine preferences and favorite regions
- Never forget a wine you loved
Three steps
How VinSip Works
Get the App Free
Download from the App Store or Google Play. No credit card, no sign-up required to start scanning.
Scan a Wine Shelf
Point your camera at any wine shelf, bottle, or restaurant wine list. VinSip identifies wines instantly.
Get Recommendations
See personalized picks based on your taste profile. Save favorites, track your journey, chat with AI sommelier.
Common questions
Frequently Asked Questions
Yes. VinSip is free to download on both iOS and Android. Core features including wine scanning, identification, and venue discovery are available at no cost. No account or credit card is required to start scanning.
VinSip uses AI trained on thousands of wine labels to identify bottles from a photo. Point your camera at any wine shelf or label and the app reads the label text, grape varieties, region, producer, and vintage in seconds. It works with single bottles, packed shelves, and restaurant wine lists.
No account is required to scan wines and receive recommendations. You can start using VinSip immediately after downloading — no sign-up, no email, no credit card. Creating a profile lets you save your taste preferences for more accurate recommendations.
After scanning, VinSip shows the wine's grape varieties, region of origin, vintage year, tasting notes, and how well it matches your personal taste profile. You also get personalized recommendations ranked by match score, along with the option to chat with the AI sommelier for pairing advice.
VinSip maps wine shops, wine bars, restaurants and wineries in 60 cities across 6 countries — Paris, London, Rome, Barcelona, Berlin, Lisbon and more. Each listing includes ratings, opening hours, specialties, and directions.
The AI sommelier chat lets you ask questions about wine in natural language. Ask for pairing recommendations, get advice on wines for a specific occasion or budget, or explore the wines identified during your scan. The conversation is context-aware — it knows what you scanned and what your preferences are.
Free to download, and free of paid placement
Start Discovering Wine Today
Scan before you buy. Free to download — no account, no email address and no credit card to start — and nothing on this site is paid placement.
Free on iOS and Android No account, no email required No paid placements, no wine sold
How does an app identify a wine from a photograph?
A wine app identifies a bottle by reading the label as an image, not by recognising the wine. Four separate steps run between the shutter and the recommendation, and each one fails differently.
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Step 1 — find the bottle in the frame
The first pass locates label-shaped regions in the photograph and straightens them. A shelf photograph typically contains eight to twenty candidate labels, most of them at an angle and partly hidden by the bottle in front. Anything the detector misses at this stage cannot be recovered later, which is why a straight-on photograph of a single bottle is far more reliable than a wide shot of a shelf.
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Step 2 — read the text
Optical character recognition converts each region to text. This is where the classic failures live: a serif capital on a dark background, gold foil that blows out under a shop light, a script face on a Burgundy label, and a vintage printed on the neck rather than the body. The output is a string, and a wrong character in a producer name is enough to send the next step to the wrong wine.
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Step 3 — match the text to a wine
The extracted text is matched against a wine database. A match needs a producer, a wine name and ideally a vintage; with only two of the three the result is a family of wines rather than a bottle. This is the step that decides whether you get "Château Something 2019" or "a Bordeaux red".
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Step 4 — turn a name into a recommendation
Naming the bottle and recommending one are different problems, and only the first is a vision task. A recommendation ranks the identified bottles against what you said you like — style, sweetness, budget, the occasion — which means the quality of the answer depends far more on how honestly you filled in those preferences than on how good the camera is. An app that recommends without ever asking what you like is ranking by popularity and calling it personalisation.
Where wine recognition reliably fails
It fails on damaged, wet or peeling labels, because the text is not there to read. It fails on very small producers whose wines are in no database. It fails on wines whose label carries a region and no producer name, which is common in Italy and Spain. It fails in low light, because OCR needs contrast more than it needs resolution.
It also fails quietly, which is the dangerous mode: a confident answer naming the wrong vintage of the right wine. Vintage is the single most misread field, because it is the smallest text on most labels and often sits on a separate strip.
A subtler failure is the one nobody warns about: recognition can be perfect and the recommendation still wrong, because the bottle in front of you is not in the reference data at the vintage you are holding. A 2022 of a wine the database knows only through 2019 will be described with the older wine's character, and nothing in the interface signals that substitution happened.
The practical rule: use recognition to find out what a bottle is when you have never seen it before, and check the label yourself before anything expensive depends on the answer. No image model should be the last word on an auction bid or an insurance valuation.
Bottom line
Wine recognition from a photograph is optical character recognition plus a database lookup, with a detection step in front of it. It works well on a clean, well-lit, front-facing label from a producer that exists in the reference data, and it degrades — usually into a plausible wrong answer rather than an obvious failure — on damaged labels, script typefaces, low light and obscure producers. Vintage is the field most often wrong. Treat the result as a strong hint about what you are holding, and verify from the label before acting on anything where being wrong costs money.
How VinSip differs from the big wine apps
Three differences that can be checked rather than taken on trust, including the one that goes against us.
| What is being compared | The large wine apps | VinSip |
|---|---|---|
| What the ranking is computed against | The average of everyone who rated the wine | The style, sweetness, budget and occasion you set before scanning |
| What gets scanned | One bottle you have already picked up | The whole shelf in front of you, ranked |
| Whether the recommender sells the wine | Yes — Apple lists Vivino under Shopping as well as Food & Drink, and it sells through its own marketplace | No. We sell no wine and take no payment for a listing or a ranking position |
| Size of the wine database | Vivino publishes 19.6 million wines and 3.26 billion scans | Far smaller, and this is a genuine trade-off |
What the ranking is computed against. An average answers "do people like this". It cannot answer "will I", because a person with a definite preference sits in the tail of that distribution, which is exactly where a mean carries least information.
What gets scanned. The decision happens in the aisle among twenty bottles, not afterwards over one.
Whether the recommender sells the wine. This is a structural point, not an accusation: a recommendation shown next to inventory the recommender profits from is a different object from one that is not.
Size of the wine database. On an obscure grower Vivino will name the bottle and we will not. We would rather write that here than have you discover it in a shop.
Bottom line
The largest wine database belongs to Vivino and it is not close: 19.6 million wines against a catalogue orders of magnitude smaller. What VinSip does differently is what it ranks against — the preferences you state rather than the average of strangers — and that it has no wine to sell you, so nothing on the list is there because it pays to be. If you want the biggest catalogue, use the biggest catalogue. If you want a shelf sorted against your own taste by something with no stake in the answer, that is this.