In this work, we present a comprehensive, high-throughput workflow that automates the process of calculating accurate empirical thermochemistry corrections for virtually any quantum mechanical model chemistry. This workflow includes the implementation of automated fitting procedures for both Petersson-type and Melius-type bond additivity corrections, as well as isodesmic reaction methods. These procedures have been seamlessly integrated into Arkane, an open-source software package for statistical mechanics, kinetics, and thermochemistry calculations, allowing users to readily compute accurate thermochemistry for a wide range of molecules and levels of theory using a single, user-friendly platform. In addition to implementing the calculation procedures, we have also curated an extensive database of reference species from the literature, which can be used to fit additional BAC values or as a basis for constructing isodesmic reactions. This database encompasses a diverse range of chemistries, expanding upon the scope of previous investigations by including a wider variety of elements such as sulfur and halogens. To assess the performance of different thermo-correction approaches, we conducted a benchmark on 15 commonly used QM levels of theory. The curated reference species database, code for computing thermo-corrections, and newly calculated AEC and BAC values for the 15 benchmarked LOTs are made publicly available for free on GitHub and/or in the supporting information, enabling users to perform quick and accurate thermochemistry estimations using the LOTs and species relevant to their research.