aTrain is an offline speech transcription tool developed by researchers at the Center for Business Analytics & Data Science, Graz University, and tested by researchers at the Graz Knowledge Center. It utilizes the latest machine learning models to automatically transcribe audio recordings without uploading any data. aTrain is featured in a paper published in the *Journal of Behavioral and Experimental Finance*. Please cite this paper if used for research. It supports Windows 10 and 11 systems, with users able to download and install it through the Microsoft App Store or the BANDAS Center website. Installation guides for Linux systems are available on the Wiki. aTrain's primary advantages include privacy protection by avoiding data uploads, high-quality transcription accuracy, and fast processing speeds on your local computer.