ASR evaluations are created to help developers troubleshoot speech recognition issues and improve performance, identifying commonly misrecognized words for better customer experience. A utility has been developed, open-sourced on GitHub, to simplify the evaluation process by performing pre-processing normalization of text and going beyond Word Error Rate (WER). This tool can calculate various metrics, including WER, Levenshtein Distance, and text comparison to visualize differences. It provides an easy-to-use command-line interface for running evaluations with original and generated files. The utility aims to make ASR evaluations more convenient and time-efficient for developers, offering free trial credits for exploring conversational intelligence solutions.