Home / Alternatives to KR Scanner Apps Like KR Scanner for iPhone and iPad
by Ulf-Dieter Spethmann ★ 0.0 0 ratings Education Free Data updated 2026-09-06
Ranked alternatives Showing 881–900 of 1,000 ranked alternatives.
Frank Goodin
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Stanislav Yakusevich
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Masaya Nagaoka
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Pivot Point USA, Inc.
★ 0.0 0 ratings Book Free Data updated 2026-09-06
Cogneti LLC
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Denisha Vadukia
★ 0.0 0 ratings Developer Tools Free Data updated 2026-09-06
Hangzhou Ziqiu Tea Industry Co., Ltd
★ 0.0 0 ratings Developer Tools $0.99 Data updated 2026-09-06
One Bite Apps Inc.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
CODEX COMPANY FOR DESIGNING AND PROGRAMMING SPECIAL SOFTWARE LLC
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Marvin Krueger
★ 0.0 0 ratings Developer Tools Free Data updated 2026-09-06
OPEN SPACE (Sofia city, Bulgaria)
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Basile Cornet
★ 0.0 0 ratings Developer Tools Free Data updated 2026-09-06
mark david
Discover coffee combinations and flavor profiles.
The app helps users find coffee combinations, flavor profiles, and blend information. It allows users to discover coffees by region, blend strength, or complementary flavors.
★ 0.0 0 ratings Food & Drink $0.99 Data updated 2026-11-07
Calvin Fraites
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Coleg Cambria (Apps)
★ 0.0 0 ratings Education Free Data updated 2026-09-27
COLEG SIR GAR
★ 0.0 0 ratings Education Free Data updated 2026-09-06
iCert Inc,
★ 0.0 0 ratings Education $24.99 Data updated 2026-09-06
Alexander Herdt
★ 0.0 0 ratings Developer Tools Free Data updated 2026-09-06
Mehmet Bayram
★ 0.0 0 ratings Developer Tools Free Data updated 2026-09-06
Uonmap Information Technologies Ltd.
★ 0.0 0 ratings Education Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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