TrainAR review
A focused, open-source toolkit for building procedural AR training in Unity.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
TrainAR is an open-source interaction concept, didactic framework, and authoring tool for procedural augmented-reality training. It is designed for educators, researchers, designers, and domain experts, including authors without AR-specific programming expertise. Scenarios are created in the Unity Editor with imported 3D models, visual stateflows, interactive objects, feedback, and assessments. Training content can be deployed to Android and iOS handheld devices, while authoring runs on Windows, macOS, or Linux.
Its strongest fit is procedural instruction. Visual scripting stateflows can organize training sequences, while TrainAR Objects support positioning, rotation, scaling, visibility, grabbing, interaction, and combination. Markerless surface scanning enables training-assembly placement without relying on physical markers. Onboarding animations, AR tracking solutions, layered feedback modalities, expert insights, and conclusion flows extend the framework beyond simple object placement. These capabilities make it suitable for structured scenarios where learners must follow steps, receive feedback, and complete an assessment.
TrainAR is a framework and Unity Editor extension rather than a hosted classroom-management product. Authors should be prepared to work within Unity and to convert or import 3D models into interactive objects. Its open-source model supports access without a paid plan, while the published product description does not present paid tiers or AI features. Choose TrainAR when the priority is building custom, markerless procedural training for mobile AR. A broader classroom platform may be a better fit for organizations seeking general course management, while teams looking for AI-assisted authoring should consider alternatives.
TrainAR pros and cons
- Where it wins
- Visual stateflows support procedural training sequences without AR-specific coding
- Markerless placement and interactive 3D objects support practical AR scenarios
- Runs across Android, iOS, Windows, macOS, and Linux
- Where it doesn't
- Requires the Unity Editor for authoring and scenario creation
- Focused on procedural training rather than broad classroom learning
- Does not include AI features
TrainAR fact sheet, pricing and score →
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