Text summarization is a way to condense important information from a text into a shorter summary. This helps save time and is useful for things like search engines and business analysis. There are two main methods for summarization: extractive and abstractive. Different techniques are used, like breaking down sentences and ranking them. Research in this area is ongoing, especially in languages like Indian languages. The process involves steps like pre-processing, feature extraction, and summary extraction. Overall, this paper reviews the current research on text summarization and highlights important findings for future studies.