The amount of data being generated in the great age of Big Data is enormous, which in turn has led to a large demand for storage infrastructures. With this growing demand, the storage infrastructures that depend on natural resources like silicon for hardware will become expensive. Hence there is a need to use techniques that minimize the size required by the data and efficiently store the data in these infrastructures. Data compression is a technique that reduces the size of data. This project’s goal is to reduce the size of the original data without losing the quality of the data. We propose a generalized system with which data of any type or more commonly multimedia can be reduced in size without losing the quality of the data.