Wine AI - Scan & Track
Alberto Moral
Labels and find matches
Labels or menus to find matching bottles. Receive detailed analysis, tasting notes, and food pairings. Answer questions about budget and occasion for tailored recommendations.
Apps Like PerfectGrape - Wine Matching for iPhone and iPad
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.
Hello Vino: Wine Assistant
Hello Vino, LLC
Pair with food and occasions
Answer questions about food, occasions, and flavor preferences to receive pairing suggestions. Explore curated lists for meals and events. Save favorite recommendations and view detailed profiles.
Firstleaf: Wine Scanner
Firstleaf.com, Inc.
Find , scan labels, get picks
Scan labels, menus, or shelves to get instant recommendations. Rate wines to refine suggestions and build a personal profile. Find expert-approved picks and learn about pairings and storage tips.
Vivino: Drink The Right Wine
Vivino ApS
Scan labels, rate wines, buy directly
Scan labels to access ratings, reviews, and details. Search for wines by name or region. Track personal preferences with ratings and notes. Buy wines directly from shoppable merchants. View information on 16 million wines and 245,000 wineries.
InVintory: Wine Bottle Tracker
InVintory Wines Incorporated
Curate, track, and store collections
Manage and track collections with detailed information, including vintage, region, and pairing suggestions. Organize wines into cellars, set tasting notes, and receive AI-driven recommendations.
Afuté - wine & cheese pairing
beyowi
Pair and instantly
Find and pairings based on type, grape variety, region, and vintage. Search for specific cheeses like Brie or Camembert. Get expert recommendations for with red, white, or rosé wines.
Wine Scanner: Wine Identifier
Meltem Arslan
Scan labels, learn details, find pairings
Scan labels to identify varieties, regions, and vintages. View tasting notes and food pairing suggestions. Learn about origins and characteristics through detailed information.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.