**VinSip — Wine Shops, Wine Bars & Wineries Worldwide** > Find the best wine shops, wine bars, restaurants with great wine lists, and wineries near you. Scan wine labels for instant identification with VinSip. Source: https://vinsip.app/ Your Wine Companion # Discover Wine Everywhere You Go Find wine shops, bars, restaurants and wineries worldwide. Scan any wine label for instant identification and personalized recommendations. - [Scan My First Wine — Free](https://vinsip.app/download/) - [Explore Wine Venues](https://vinsip.app/shops/) Free on iOS & Android · No account required · No wine sold here 3,172 wine venues, mapped and checked - **60** Cities - **6** Countries - **30** Languages - [Get VinSip Free](https://vinsip.app/download/) Every venue here came out of Google Places and was checked against its own listing. Nobody paid to be included and nobody can pay to rank higher. The directory Every figure on a reference page names the body that published it and links to it, so you can check the number instead of trusting us for it. The reference The app ranks a shelf against the preferences you state, not against a crowd average — and it sells no wine, so nothing is recommended because it earns us anything. The app ## How It Works 1 ### Scan Point your camera at any wine shelf or label 2 ### Identify AI instantly recognizes wines and their details 3 ### Discover Get personalized recommendations from your AI sommelier ![VinSip wine shelf scanning — point camera at wine bottles for instant identification](https://vinsip.app/images/screenshots/scan.png) Wine Scanner ## Point. Scan. Discover. No more guessing at the wine shop. Hold up your phone, scan the shelf, and get instant intelligence on every bottle in view — labels, vintages, ratings, and price context. - ◈ **Whole-shelf recognition** — scan dozens of wines at once, not one at a time - ◈ **Label & vintage details** — appellation, winery, grape varieties, drinking window - ◈ **Smart ranking** — wines sorted by match to your taste and budget - ◈ **Works offline** — cached results available without signal - [Scan Your First Wine — Free](https://vinsip.app/download/) AI Sommelier ## Your Personal Sommelier, Always Available Ask anything about a wine — food pairings, aging potential, alternatives at half the price. The AI sommelier knows your taste profile and gives answers tuned to you, not generic advice. - ◈ **Multi-turn conversation** — follow-up questions, not just one-shot answers - ◈ **Taste-aware** — remembers your preferences, avoids wines you dislike - ◈ **Occasion matching** — date night, casual dinner, gift — context matters - ◈ **Budget-conscious** — world-class recommendations at every price point - [Meet Your Sommelier](https://vinsip.app/download/) ![VinSip AI sommelier chat — personalized wine recommendations in conversation](https://vinsip.app/images/screenshots/chat.png) ![VinSip wine results and diary — track tasting notes and favorite bottles](https://vinsip.app/images/screenshots/results.png) Wine Diary ## Track Every Wine You Taste Every scan is saved. Build a personal wine diary with tasting notes, ratings, and the story behind each bottle — from that Barolo at your anniversary dinner to the Chablis you discovered on a Tuesday. - ◈ **Want to Try / Tasted** — two-tab system keeps your wishlist organized - ◈ **Star ratings & notes** — capture what you loved before you forget - ◈ **Grape & region tracking** — see patterns in what you enjoy most - ◈ **Scan history** — every bottle you've ever looked up, always searchable - [Start Your Wine Diary](https://vinsip.app/download/) VinSip by the numbers **3,172** Wine Venues **60** Cities Covered **6** Countries **63** Guides & reference pages **0€** Paid placements sold ## Explore Wine Venues - [### Wine Bars 902 venues in 60 cities](https://vinsip.app/bars/) - [### Restaurants 683 venues in 60 cities](https://vinsip.app/restaurants/) - [### Wine Shops 1,104 venues in 60 cities](https://vinsip.app/shops/) - [### Wineries 483 venues in 60 cities](https://vinsip.app/wineries/) ## Popular Cities Browse wine shops, bars, restaurants, and wineries in major cities worldwide - [🇬🇧 ### London United Kingdom 59 venues](https://vinsip.app/shops/united-kingdom/london/) - [🇺🇸 ### New York United States 64 venues](https://vinsip.app/shops/united-states/new-york/) - [🇩🇪 ### Berlin Germany 58 venues](https://vinsip.app/shops/germany/berlin/) - [🇺🇸 ### Los Angeles United States 51 venues](https://vinsip.app/shops/united-states/los-angeles/) - [🇪🇸 ### Madrid Spain 53 venues](https://vinsip.app/shops/spain/madrid/) - [🇺🇸 ### Chicago United States 50 venues](https://vinsip.app/shops/united-states/chicago/) - [🇩🇪 ### Hamburg Germany 62 venues](https://vinsip.app/shops/germany/hamburg/) - [🇫🇷 ### Paris France 54 venues](https://vinsip.app/shops/france/paris/) - [🇺🇸 ### Houston United States 47 venues](https://vinsip.app/shops/united-states/houston/) - [🇺🇸 ### Dallas United States 65 venues](https://vinsip.app/shops/united-states/dallas/) - [🇺🇸 ### Phoenix United States 48 venues](https://vinsip.app/shops/united-states/phoenix/) - [🇩🇪 ### Munich Germany 52 venues](https://vinsip.app/shops/germany/munich/) Wine Guides ## Learn More About Wine - [All Guides](https://vinsip.app/guides/) - [### Wine Nutrition Labels: Ingredients, Allergens and Calories A wine nutrition label is the nutrition declaration and ingredient information provided for a wine. Since 8 December 2023, the European Union’s Regulation (EU)… Read guide →](https://vinsip.app/guides/wine-nutrition-label-explained/) - [### Animal Wine Labels: Meaning and How to Find a Bottle A wine with an animal on the label is usually identified through its brand artwork and printed text, not through a universal animal code. A kangaroo, horse… Read guide →](https://vinsip.app/guides/wine-labels-with-animals-on-them/) - [### Why Burgundy Vintage Charts Matter Less Than Growers A Burgundy vintage chart is a broad editorial assessment of wines associated with a harvest year. A grower is the vineyard operator whose farming, harvest and… Read guide →](https://vinsip.app/guides/burgundy-vintage-explained/) ## Frequently Asked Questions What is VinSip? VinSip is an AI-powered wine discovery app. Scan any wine shelf or label with your phone camera and get instant identification, ratings, and personalized recommendations from your AI sommelier. How does VinSip identify wines? Point your camera at a wine shelf or label. Our AI instantly recognizes the wines, pulls detailed information, and recommends the best options based on your taste preferences, budget, and occasion. Is VinSip free to use? VinSip is free to download and includes basic wine scanning. Premium features like unlimited scans, detailed sommelier recommendations, and wine diary are available with a subscription. What countries does VinSip cover? Our wine venue directory covers 6+ countries and 60+ cities worldwide, including wine shops, bars, restaurants, and wineries across Europe, Americas, and beyond. Can I use VinSip in a wine shop? Absolutely — that's the primary use case. Walk into any wine shop, scan the shelf, and VinSip helps you pick the perfect bottle by analyzing every wine in view and matching them to your preferences. Does VinSip work for restaurants too? Yes. You can photograph a restaurant wine list and VinSip will identify the wines, explain each one, and recommend the best options for your meal and budget. ## Get the VinSip App Scan wine labels, get instant identification, and receive personalized recommendations from your AI sommelier. - [App Store](https://vinsip.app/go/?url=https%3A%2F%2Fapps.apple.com%2Fapp%2Fvinsip-your-ai-sommelier%2Fid6753107729&utm_source=vinsip&utm_medium=referral&utm_content=cta_section) - [Google Play](https://vinsip.app/go/?url=https%3A%2F%2Fplay.google.com%2Fstore%2Fapps%2Fdetails%3Fid%3Dcom.vastflow.vinsip&utm_source=vinsip&utm_medium=referral&utm_content=cta_section) Free on iOS & Android. No account required. ## 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. 1. ### 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. 2. ### 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. 3. ### 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". 4. ### 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. --- HTML version: https://vinsip.app/ Structured data for this site: https://vinsip.app/api/v1/openapi.json · https://vinsip.app/llms.txt Free to quote and reuse with a link back to the source URL above (CC BY 4.0).