Style transfer is a natural language processing generation task, it consists of substituting one given writing style for another one. In this work, we seek to perform informal-to-formal style transfers in the English language by using a style transfer model that takes advantage of the GPT-2. This process is shown in our web interface where the user input a informal message by text or voice. Our target audience are students and professionals in the need to improve the quality of their work by formalizing their texts. A style transfer is considered successful when the original semantic meaning of the message is preserved after the independent style has been replaced with a formal one with a high degree of grammatical correctness. This task is hindered by the scarcity of training and evaluation datasets alongside the lack of metrics. To accomplish this task, we opted to utilize OpenAI’s G...