Parasitic effects in bioimpedance measurements lead to errors in parameterization and hence in the physiological indicators. For this reason, the elimination throughout of these effects is required. The hook effect is the most common error in bioimpedance and is due to parasitic capacitances that can be modelled as a capacitor in parallel with the tissue under study. In this work, a method for removing this effect is proposed, based on the use of the geometrical three-points (3P) method and an iterative search of the capacitance value, starting from an initial estimation at maximum frequency of the dataset. The results show errors below 0.091% in the Cole parameters compared to theoretical values when using four simulated spectra. Additionally, to test the method on real spectra, we randomly selected three spectra from a database and conducted one total body measurement using a Mark3 device (Sheffield). We then performed an assessment against the time delay as a function of frequency method Tdelay(ω). ‘The results demonstrate excellent agreement with theoretical predictions, with errors below 0.047%. As the proposed method does not require a complex algorithm, it could be implemented in low-cost processors.