This research aims to explore the current digital tools available for translation activities to simplify work and save costs and time. Accordingly, it is necessary and appropriate to analyze the results of automated translation (AT) and machine translation (MT) systems, classifying the identified shortcomings and errors. The methodological foundation of this research comprises comparative analysis, quantitative analysis, exhaustive sampling method, and statistical data processing. Digital tools ease the work of translators and enhance translation quality. The widespread use of automated translation systems and the significant advancements in artificial intelligence (AI) in 2023 underscore the relevance of the chosen research topic. The authors compile almost all available tools currently used in various fields and types of translation, unlike most similar works where tools are considered in isolation. The undeniable value of this research lies in the analysis of existing problems in different machine translation systems. This is the contribution of the research to the study and further development of information technologies (IT) and the expansion of AI capabilities.