Home / Alternatives to magic.al Apps Like magic.al for iPhone and iPad
by Magical Connect Pty Limited ★ 0.0 0 ratings Shopping Free Data updated 2026-09-09
Ranked alternatives Showing 261–280 of 1,000 ranked alternatives.
PVR INFOSOFT PRIVATE LIMITED
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
United Supermarkets, LLC
★ 4.5 13 ratings Shopping Free Data updated 2026-09-06
A2 Advertising, LLC
★ 3.7 7 ratings Lifestyle Free Data updated 2026-09-06
Stergios Dikos
★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
Ruud Telman
★ 0.0 0 ratings Shopping $0.99 Data updated 2026-09-06
ParraCity Web Pty Ltd
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Minh Nguyen Hoang
★ 5.0 3 ratings Shopping Free Data updated 2026-09-06
Guangzhou Pintreel Technology Co., Ltd.
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Alex Layne, LLC
★ 5.0 10 ratings Shopping Free Data updated 2026-09-06
MEDIAPAK Co
★ 3.0 2 ratings Lifestyle Free Data updated 2026-09-11
AS Watson & Company, Limited
★ 3.2 28 ratings Shopping Free Data updated 2026-09-12
Yousif Mohamed Ahmed Suliman
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Slice Digital Limited
★ 5.0 49 ratings Entertainment Free Data updated 2026-09-06
Anfal Dalal
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Anfal Dalal
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
PRINTERVAL TRADING JOINT STOCK COMPANY
★ 1.5 10 ratings Shopping Free Data updated 2026-09-06
A2 Advertising, LLC
★ 2.3 25 ratings Shopping Free Data updated 2026-09-09
MyBuzz Technologies Limited
★ 2.8 4 ratings Lifestyle Free Data updated 2026-09-06
Wine Oh App AI LLC
Scan labels, find matches, recommend wines
Scan labels, bottles, or menu items to identify the . Analyze characteristics and suggest matching pairings. Recommend wines based on personal taste preferences. Provide information on regions, flavors, and food pairings.
★ 5.0 16 ratings Lifestyle Free Data updated 2026-09-06
Ajit Thadhani
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
Previous Next