Meta-data extraction

Metadata extraction involves identifying and retrieving essential information about a digital file or data without accessing its actual content. For example, extracting details like the date a document was created, the author’s name, or the file size. This process helps organize, categorize, and manage data efficiently. It’s commonly used in search engines, digital forensics, and data management systems to quickly understand the context and attributes of data assets. Essentially, metadata acts like a data summary or label that provides valuable insights without opening or viewing the full content.