In several applications where exact computation is not essential, approximate computing is a developing paradigm for sacrificing computing accuracy to save energy and simplify design complexity. This brief presents a low-power, low-area approximate multiplier with a new compressor design. The proposed multiplier handles the component that is least crucial as a fixed compensating term. The second half features a carefully considered hardware–accuracy trade-off that is tremendously powerful. Efficiency is provided. The proposed multiplier is simulated using CADENCE with 18 nm FinFET technology. Compared to the current approximation designs, the proposed design 1 significantly reduces transistor count by 2.05% and power on average by 1.9%, and the proposed design 2 significantly reduces power on average by 3.9% and transistor count by 9.51%. As a result, these designs can be an efficient replacement for exact multipliers in real-world applications that are error-tolerant.