Compression is an economical and efficient way of data handling in not only communication, but also storage purposes. We aimed to implement a compression application based on frequent use of English letters, digraphs, trigraphs and tetragraphs without sacrificing memory and/or the other resources. Despite its conceptual simplicity, the approach achieves promising results. The system is tested for several data and the result was compared with LZW, Huffman Coding, and arithmetic coding. The system can be applied to either small or large files, and it can be seen that the result is still stable.