In this paper, we present ema2wav, a software conversion tool for electromagnetic articulographic data, producing multichannel WAVE files. The data can be converted either by executing a stand-alone Python script or by using a user-friendly GUI. ema2wav allows the display and extraction of EMA trajectories as well as data smoothing and the computation of derivatives and Euclidean distances between sensors. A great asset of this converter is that it allows the research community to process EMA data in widespread and easy-to-use open-source programs like Praat. It is completely platform-independent and is thus a very promising alternative for e.g., students, teachers and researchers in experimental linguistics who have either limited access to software licenses and/or seek for an easy way to maintain open solutions for their research.