Natural language processing (NLP) encompasses the complex process of transforming the human languages into the computer understandable form (vectors) and back to the human readable form as the computer on its own doesn’t understand the diverse languages of humans as it can only comprehend on the numbers. In this paper, starting with the topics like Types of Text Summarization, Techniques for Text Summarization, Transformers in NLP and implementation of the T5 Transformer is covered with Rogue Score. Text Summarization finds application in various fields, one such application is generating the summary of the CNN corpus for extracting the main idea of the whole article in a concise way. NLP is actually the launchpad for today’s buzzwords Such as Generative AI and currently we’ve ChatGPT created by OpenAI which we all must be familiar of and nowadays every student, research scholar and even the non-tech people take benefit from it.