DrinkingBud app icon

Apps Like DrinkingBud for iPhone and iPad

by DrinkingBud, Inc.★ 5.01 ratingsFood & DrinkFreeData updated 2026-09-06

Ranked alternatives

Showing 421–440 of 1,000 ranked alternatives.

  1. Bartender AI app icon

    Bartender AI

    SDP Innovations LLC

    Create cocktails with AI guidance

    Create cocktail recipes based on available ingredients. Suggest drink variations and serving styles. Store favorite recipes and share them via social media or email. Provide step-by-step mixing instructions and glassware recommendations.

    ★ 4.36 ratingsFood & DrinkFreeData updated 2026-09-06
  2. Barcade app icon

    Barcade

    Barcade Holdings, LLC

    ★ 5.02 ratingsEntertainmentFreeData updated 2026-09-06
  3. Royal Kush app icon

    Royal Kush

    Tech Delivery Solutions, LLC

    ★ 5.03 ratingsHealth & FitnessFreeData updated 2026-09-06
  4. uMenu app icon

    uMenu

    John Coryell

    Upload food photos and share them

    Share food photos from your camera roll to inspire others. Upload images of meals, desserts, or local finds. Browse nearby restaurants and hidden eateries. Connect with food enthusiasts in a community-focused .

    ★ 4.714 ratingsFood & DrinkFreeData updated 2026-09-11
  5. BarBot AI app icon

    BarBot AI

    Junaid Dawud

    Create cocktails with AI and your favorite

    Input ingredients to generate personalized cocktail recipes. Adjust recipe details like sweetness and strength. Save and share favorite drinks. Sync with smart devices to control mixers and dispensers.

    ★ 5.09 ratingsFood & Drink$0.99Data updated 2026-09-06
  6. Alc AI app icon

    Alc AI

    Khushaal Choithramani

    Snap, compare, and learn about drinks

    Analyze alcohol bottles with a single photo. Retrieve detailed pricing, product information, and alcohol content. Save and share favorite drinks. Compare prices and read reviews. Set preferences for drink types and brands.

    ★ 5.01 ratingsFood & DrinkFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.