In a recent study, researchers developed a predictive model for slow pyrolysis of lignocellulosic biomassBiomass is a complex biological organic or non-organic solid product derived from living or recently living organism and available naturally. Various types of wastes such as animal manure, waste paper, sludge and many industrial wastes are also treated as biomass because like natural biomass these More, offering insights into the carbon sequestration potential and energy products of biochar. The model accurately predicts biochar yields and composition within a 5% margin of experimental values, while showing broader distributions for bio-oil and syngasSyngas, or synthesis gas, is a fuel gas mixture consisting primarily of hydrogen and carbon monoxide. It is produced during gasification and can be used as a fuel source or as a feedstock for producing other chemicals and fuels.   More, typically within 20%. This compositional model utilizes mass-weighted cellulose, hemicellulose, and lignin pyrolysis products to estimate outcomes, overcoming limitations in life-cycle assessment data for biomass pyrolysis. The tool provides a valuable means to estimate pyrolysis outcomes and life cycle inventories. Addressing the scarcity of life-cycle inventories for slow pyrolysis processes, the study employs a three parallel reactions model to estimate biochar, bio-oil, and syngas yields, along with key properties. With a focus on carbon sequestration potential and energy products, the model offers a comprehensive approach to assessing the environmental benefits of biochar production. The provided calculator allows for rapid and accurate estimation of pyrolysis outcomes and LCIs based on widely available feedstockFeedstock refers to the raw organic material used to produce biochar. This can include a wide range of materials, such as wood chips, agricultural residues, and animal manure. More composition, contributing to informed decision-making in the biochar industry.