A Text Summarizer is a tool designed to condense lengthy pieces of text into shorter, more digestible summaries. It uses algorithms to identify key points and main ideas, making it easier for readers to grasp essential information without having to read the entire document. This technology is particularly useful for students, researchers, and professionals who need to process large volumes of information quickly. There are two main types of text summarization: extractive and abstractive. Extractive summarization selects important sentences directly from the text, while abstractive summarization generates new sentences that capture the essence of the original content. Both methods aim to enhance comprehension and save time for users, making them valuable tools in today's information-rich environment.