Text summarization works by using algorithms and techniques to analyze a given text and extract its most important information. It involves identifying key sentences, phrases, or concepts and condensing them into a shorter summary. This can be achieved through extractive methods that select and arrange existing content, or through abstractive methods that generate new sentences based on the understanding of the original text. The goal is to provide a concise and meaningful summary that captures the essence of the source material.