Home / Alternatives to AuthScan Apps Like AuthScan for iPhone and iPad
by Meng Duo Duo Technology Limited ★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Ranked alternatives Showing 621–640 of 1,000 ranked alternatives.
Shanghai Chaoshe Information Technology Co., Ltd.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
PAYMENT ASIA TECHNOLOGY LIMITED
★ 0.0 0 ratings Business Free Data updated 2026-09-14
Arpit Shah
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Ryan Anderson
Scan, store, and share cards offline
Scan and save any using barcode or QR code. Store rewards, loyalty, and membership cards offline. No internet required. No account needed. No data tracking. Share cards securely without syncing.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Notakey Latvia, SIA
★ 0.0 0 ratings Utilities Free Data updated 2026-09-11
GEA Grading 11 Limited
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Vault Software Licenciamento de Programas Ltda
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Umakhan Magomedov
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Mohamed El Tabakh
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
MAXTT SDN BHD
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Mitek Systems Inc.
★ 5.0 1 ratings Business Free Data updated 2026-09-13
Janhavi Wagh
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
innoscripta GmbH
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Ventaja International Corp.
★ 2.0 1 ratings Utilities Free Data updated 2026-09-06
Appsolut Limited
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Paymentwall, Inc.
★ 5.0 1 ratings Productivity Free Data updated 2026-09-12
Jeferson da mota souza
★ 5.0 1 ratings Utilities Free Data updated 2026-09-06
Joost Aanen
★ 5.0 1 ratings Utilities Free Data updated 2026-09-12
Service Station Computer Systems, Inc.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Asif Tufail
★ 0.0 0 ratings Utilities 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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