TrainAR
- Android app
- Yes
- Free plan
- Yes
- Runs on
- Android, iOS, Linux, Mac, Windows

Summary
TrainAR combines a procedural augmented reality training concept, didactic framework, and authoring tool for handheld devices. Authors import 3D models, convert them to TrainAR objects, then use visual scripting to define instructions, user actions, and feedback. The authoring tool includes onboarding animations, tracking solutions, assembly placement, layered feedback, and training assessments. Users can grab, interact with, and combine objects, as well as respond to UI elements such as questions. TrainAR can also be used without its visual-scripting overlay through the Unity Editor and C# programming. The Unity extension works on Windows, macOS, and Linux; completed training apps can be deployed to Android and iOS. iOS deployment requires Xcode on macOS after building the app. The installation guide calls for Unity 2022.3 LTS and the relevant platform modules. TrainAR is free for commercial and non-commercial use under the MIT license. It supports procedural task understanding, but does not train associated motor skills.
Who it is for
TrainAR is aimed at non-programmers, designers, and domain experts with media competency, while also supporting developers with Unity and programming experience. It may suit people creating procedural task training for Android or iOS devices.
What is good
- Free for commercial and non-commercial use under MIT license
- Visual stateflow defines instructions, actions, and feedback
- Supports object interaction and UI questions
- Includes training assessments and layered feedback
What to know first
- SkinnedMeshRenderers are not supported for conversion
- iOS deployment requires Xcode on macOS
- It does not train associated motor skills
Verdict
TrainAR offers a visual authoring path for procedural AR training, with an alternative Unity and C# workflow. Check the model requirements and the distinction between task understanding and motor-skill training before choosing it.
TrainAR plans and pricing
All plansCompared on augmented reality learning apps
- Free plan
- Yesjblattgerste.github.io
- AR mode
- markerlessjblattgerste.github.io
- Supported platforms
- Android, iOS, Windows, macOS, Linuxjblattgerste.github.io
- Lesson authoring
- Yesjblattgerste.github.io
Facts
- What it does
- TrainAR combines an interaction concept, didactic framework, and authoring tool for procedural augmented reality training on handheld devices.jblattgerste.github.io · 3 Oct 2026
- Authoring
- Authors import 3D models, convert them to TrainAR objects, and use a visual-scripting stateflow to define instructions, user actions, and feedback.jblattgerste.github.io · 3 Oct 2026
- Built-in features
- The authoring tool includes onboarding animations, tracking solutions, assembly placement, evaluated interaction concepts, layered feedback, and training assessments.jblattgerste.github.io · 3 Oct 2026
- Interactions
- TrainAR supports grabbing, interacting with, and combining objects, as well as UI actions such as questions.jblattgerste.github.io · 3 Oct 2026
- Extensibility
- TrainAR can also be used without its visual scripting and authoring overlay, through the standard Unity Editor overlay and C# programming.jblattgerste.github.io · 3 Oct 2026
- Editor platforms
- The Unity editor extension can be used with Unity on Windows, macOS (Silicon or Intel), and Linux.jblattgerste.github.io · 3 Oct 2026
- Deployment platforms
- TrainAR trainings can be deployed to Android and iOS devices; deploying to iOS requires Xcode on macOS after building the app.jblattgerste.github.io · 3 Oct 2026
- Unity requirement
- The installation guide instructs users to install Unity 2022.3 LTS and the relevant platform build modules.jblattgerste.github.io · 3 Oct 2026
- Model limitation
- A model needs a Transform, MeshFilter, and MeshRenderer to be converted to a TrainAR object; SkinnedMeshRenderers are not supported.jblattgerste.github.io · 3 Oct 2026
- Intended audience
- TrainAR is aimed at non-programmers, designers, and domain experts with media competency, while also supporting developers with programming and Unity expertise.jblattgerste.github.io · 3 Oct 2026
- Training scope
- TrainAR is intended to support procedural task understanding before or after practical training, and the maker says it does not train associated motor skills.jblattgerste.github.io · 3 Oct 2026
- License
- The maker says TrainAR is freely accessible for commercial and non-commercial use under the MIT license, with no acknowledgement required in the training or app itself.jblattgerste.github.io · 3 Oct 2026
- Support and contribution
- The project invites contributions through GitHub Issues and Discussions and provides a getting-started guide, full documentation, and API references.jblattgerste.github.io · 3 Oct 2026
- Integrations
- TrainAR is integrated into the Unity Editor and can incorporate Unity Visual Scripting nodes in its stateflow.jblattgerste.github.io · 3 Oct 2026
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Sources
- jblattgerste.github.io/TrainAR/· checked 3 Oct 2026
- jblattgerste.github.io/TrainAR/manual/TrainARNodes.html· checked 3 Oct 2026
- jblattgerste.github.io/TrainAR/manual/Setup.html· checked 3 Oct 2026
- jblattgerste.github.io/TrainAR/manual/TrainARObjects.html· checked 3 Oct 2026
- jblattgerste.github.io/TrainAR/manual/NoVisualScripting.html· checked 3 Oct 2026
- jblattgerste.github.io/TrainAR/manual/VisualScripting.html· checked 3 Oct 2026



