Digital filters have a key role in digital signal processing. They are programmable and hence have several advantages over analog filters. Due to improved precision, adaptability, storage capacity, and faster processing, they find extensive applications in signal and image processing, communication, etc. This research explores the design of lowpass infinite impulse response filters using Butterworth, Chebyshev, and elliptic designs. The study compares the responses and explores minimum-order designs to define passband and stopband criteria regarding acceptable ripple and cut-off frequencies. The study contributes to creating efficient digital filter designs, which are essential for modern communication networks. This study makes recommendations for extending the research's reach to investigate multi-stage filter designs and additional filter types, which will enhance our understanding of the industrial applications of digital filters. The validated results support the wide range of applications for infinite impulse response (IIR) filters.