Description

Apache Tika is a content detection and analysis framework designed for application developers. It enables users to detect and extract metadata and text from over a thousand different file types, develop a universal type detector and content extractor to extract both structured text as well as metadata from different types of documents such as spreadsheets, text documents, images, PDFs and even multimedia input formats to a certain extent, crawl through the Web to fetch the documents that are to be indexed using the indexing technique, and analyze documents automatically at the semantic level. Features include content management, information retrieval, data clustering, machine learning algorithms, and document analysis.