Text summarization is the process of condensing important information from a text into a shorter version. There are two main types of techniques: extractive, which picks out key sentences, and abstractive, which creates new sentences based on the original text. This study compares different automatic summarization methods to see how fast they are, how accurate the summaries are, and how well they capture the original meaning. The goal is to understand the strengths and weaknesses of each technique.