Home / Alternatives to MoARph Apps Like MoARph for iPhone and iPad
by freisicht GmbH ★ 0.0 0 ratings Education Free Data updated 2026-09-06
Ranked alternatives Showing 101–120 of 1,000 ranked alternatives.
Big Picture Initiative
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Current Studios Inc.
★ 0.0 0 ratings Education Free Data updated 2026-09-06
eTips LTD
★ 3.0 44 ratings Education Free Data updated 2026-09-09
Collaborative for Advanced Landscape Planning, UBC
★ 5.0 1 ratings Education Free Data updated 2026-09-06
Mustafa Alpay
★ 1.0 1 ratings Education $0.99 Data updated 2026-09-06
Ying Tang
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Ajnaware Pty Ltd
★ 4.1 8 ratings Navigation Free Data updated 2026-09-09
Library Ideas, LLC
★ 3.1 20 ratings Education Free Data updated 2026-09-06
Southern New Hampshire University
★ 1.4 49 ratings Education Free Data updated 2026-09-11
Habitat XR (PTY) Ltd
★ 0.0 0 ratings Education Free Data updated 2026-09-06
Valeriy Danyuk
★ 4.2 5 ratings Education Free Data updated 2026-09-06
Lynn Cazabon
★ 5.0 1 ratings Education Free Data updated 2026-09-06
Marcello De Palo
★ 3.5 4 ratings Education Free Data updated 2026-09-06
Allez Interactive Inc
Explore nearby Wikipedia articles with AR
Explore nearby Wikipedia articles using augmented reality. View location-based information about points of interest. Filter and sort articles by category. Share content with others. Navigate using real-world visuals and location data.
★ 4.5 38 ratings Travel Free Data updated 2026-09-06
Andrei Rech
★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
Kimberly Erjavac (Apps)
★ 5.0 6 ratings Entertainment Free Data updated 2026-09-06
AZIZKHUJA URUNOV
★ 3.7 10 ratings Education Free Data updated 2026-09-06
Christian Urff
★ 0.0 0 ratings Education $0.99 Data updated 2026-09-06
Smithsonian Institution
★ 5.0 12 ratings Education Free Data updated 2026-09-06
eTips LTD
★ 1.5 6 ratings Education Free Data updated 2026-09-10
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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