The most common approach to identify and quantify the reaction products in reaction mixtures in a high-throughput fashion is gas or liquid chromatography. This approach requires authentic standards of the expected products to confirm the presence of reaction products and calibration curves to accurately quantify product concentrations. When only a small number of products are being considered, it is manageable to isolate or independently generate an authentic standard for each potential product or byproduct. However, if a large library of novel compounds is made, isolating or independently synthesizing each compound under consideration is prohibitively time consuming. The synthesis of large libraries of compounds that span unexplored areas of chemical space is critical for the diversity-oriented synthesis approach in drug discovery, the generation of training data for machine learning models, and the automated discovery of novel reactions. Methods for reaction analysis that are based on mass spectrometry have limited ability to differentiate compounds that are isomers of one another, and cannot be used easily to quantify the concentrations of novel products. In contrast to gas or liquid chromatography, nuclear magnetic resonance (NMR) spectroscopy is commonly used to determine the relative concentrations of reaction products without the need for an authentic standard or calibration curve. Moreover, NMR spectroscopy provides detailed information about the identity of products, allowing it to be used to determine the structure of new chemical compounds. The use of NMR spectroscopy to analyze the data generated by HTE would dramatically expand the capabilities of HTE, especially when large numbers of novel compounds are synthesized. However, in most cases, NMR spectra are analyzed by experts, slowing down the process of an otherwise automated workflow. A tool that automatically analyzes the NMR spectra of an unpurified reaction mixture (henceforth referred to as the crude spectrum) would greatly enable HTE campaigns.