SONAR (Southern Ornithology Network for Applied Research) is a distributed network of autonomous acoustic recording units (or “nodes”), each operating on compact Linux-based processors. These nodes are designed to capture and analyze bird vocalizations both during the day and at night. The system integrates three key open-source software components: Nighthawk for detecting nocturnal flight calls (NFCs), BirdNET for identifying bird species from diurnal vocalizations, and sonaR, a new CNN audio classifier for NFCs and wildlife vocalizations (Contina et al. in prep.). Our sonaR software includes a set of custom-built R and Python scripts to manage, process, and organize the data across the network. SONAR Viewer is a web interface for real-time data display and spectrogram validation to support sonaR model training.