Whisky Compass App app icon

Apps Like Whisky Compass App for iPhone and iPad

by David Attwood★ 0.00 ratingsFood & DrinkFreeData updated 2026-09-06

Ranked alternatives

Showing 1–20 of 1,000 ranked alternatives.

  1. Ainbr: Whiskey Scanner app icon

    Ainbr: Whiskey Scanner

    Hwechul Cho

    Scan bottles and track prices

    Scan bottles to identify brands and access detailed information. View tasting notes, user and expert reviews, and price comparisons. Track collections and learn about different types and regions.

    ★ 4.2381 ratingsFood & DrinkFreeData updated 2026-09-06
  2. Whiskypedia app icon

    Whiskypedia

    Shanghai Hengxiang Network Technology Co., Ltd

    ★ 0.00 ratingsFood & DrinkFreeData updated 2026-09-06
  3. Bevvy app icon

    Bevvy

    Bevvy Limited

    Scan labels, manage collections, curate lists

    Scan whisky bottle labels to access product details, origin, and tasting notes. Manage whisky collection with inventory tracking and list creation. Receive personalized recommendations based on flavor preferences and drinking history.

    ★ 4.216 ratingsFood & DrinkFreeData updated 2026-09-06
  4. Mjølner Melbourne app icon

    Mjølner Melbourne

    Speakeasy Group Pty Ltd

    Order whisky, filter by preference, drink responsibly

    Explore whisky options by filtering by region, cask type, flavour profile, distillery, label, or recommendations. Save preferred whiskies to a favourites list. Log whiskies in a journal with emoji tags.

    ★ 0.00 ratingsFood & DrinkFreeData updated 2026-09-06
  5. Mjølner Sydney app icon

    Mjølner Sydney

    Speakeasy Group Pty Ltd

    Order whisky, filter by taste, track

    Explore whisky options filtered by region, cask type, flavour profile, distillery, label, or recommendations. Save preferred whiskies to a favourites list. Log whisky entries in a journal with emoji tags. Track consumption and notes for each entry.

    ★ 0.00 ratingsFood & DrinkFreeData updated 2026-09-06

How we rank alternatives

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