We present OpencanSARchem -a speed-enhance, fully open alternative to the canSARchem pipeline by transitioning from a KNIME/ChemAxon-based workflow to a more efficient Python/RDKit framework. This new pipeline improves computational performance, particularly in the tautomerization step, while eliminating reliance on commercial software. This enhanced efficiency empowers researchers to register larger volumes of compounds, harmonize structural and bioactivity data from ever-growing databases, and leverage that standardized data to train future predictive models.