The integration of Augmented Reality (AR) into chemistry education holds significant promise but is often hindered by the effort associated with creating accurate digital molecular models. We propose two open-source tools that automate the creation of digital molecular models from SMILES strings: an online 3D molecular model generator and a Blender plugin. Two evaluations based on the Technology Acceptance Model (TAM) were carried out. The first qualitative study (n = 11) identified the online generator as intuitive and efficient, while the Blender plugin provided greater flexibility at the cost of higher complexity. The second study (n = 67) reports a quantitative questionnaire based on the TAM and showed high ratings for the online generator. Future developments should particularly address supporting users in working with SMILES notation─e.g., by integrating access to chemical databases, offering graphical molecule builders, or providing explanatory tutorials─while expanding export options toward cross-platform formats (e.g., OBJ, STL), alongside optimizing the Blender plugin’s usability to foster broader classroom adoption.
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