Seismic networks produce large volumes of data, that are hard to process through traditional methods. Here we create an automatic workflow using machine and deep learning techniques to process five years of data in the western coast of South America. This allows us to detect smaller earthquakes than before, creating a catalogue of seismicity that contains far more events than other regional catalogues.