In the world where man uses the latest technological achievements on the Internet as a global computer network and the most important source of information, the need for translation has evolved. Taking into account the fact that man's everyday life has become accelerated and that frequent use of the term "we need it for tomorrow" has come up, we come to the conclusion that time plays a very important role. Therefore, there is a need for automating translations, because by logical thinking we understand that human translator is irreplaceable in translation, but also very slow in translation, because the translation of texts requires a certain amount of time that translators need to translate the correct and meaningful text. That is why there is a need to create a machine that will be able to replace a man in this area as human beings have so far invented and produced countless machines that will make it easier to perform certain tasks that save energy and time. Before the machine, man had to do everything manually without any help, but given the unlimited nature of the human mind and many different and useful ideas he was able to invent machines of different purpose. So man made another machine that is going in step with his time, which is a translation machine. Work begins by elaborating the notion of machine translation and how it has evolved through history over the years. Then it was explained why the machine translation is important and what its purpose is. These are issues that affect the work of a machine translator and its capabilities and limitations in use for various purposes. Analysis of different text types was performed using two free machine translation tools - Google Translate and Yandex Translate. Translations will also be analyzed on the morphological, syntactic, semantic and lexical level. The results of the analysis show that the most accurate machine translation tool is Google Translate, while the best translated text is original-scientific work.