  aTrain is an open-source and offline tool for transcribing audio data in
multiple languages with CPU and NVIDIA GPU support. It is specifically designed
for researchers using qualitative data generated from various forms of speech
interactions with research participants. aTrain requires no programming skills,
runs on most computers, does not require an internet connection, and was
verified not to upload data to any server. aTrain combines OpenAI's Whisper
model with speaker recognition to provide output that integrates with the
popular qualitative data analysis software tools MAXQDA and ATLAS.ti. It has an
easy-to-use graphical interface and is provided as a Windows-App through the
Microsoft Store allowing for simple installation by researchers. The source
code is freely available on GitHub. Having developed aTrain with a focus on
speed on local computers, we show that the transcription time on current mobile
CPUs is around 2 to 3 times the duration of the audio file using the
highest-accuracy transcription models. If an entry-level graphics card is
available, the transcription speed increases to 20% of the audio duration.
