The article discusses how automatic text summarization systems help save time by creating summaries from digital documents. These systems can extract key information from the original text without changing its meaning. The research focuses on extractive summarization, where important sentences or phrases are selected and included in the summary. The study compares different methods and finds that deep learning techniques perform well when trained with enough data.