This paper analyzes text data security and compression techniques using Huffman coding. It provides an overview of data compression techniques, focusing on lossless compression. Huffman coding is described as an optimal technique that uses a prefix code generation process to assign unique codes to symbols based on their frequency. While Huffman coding provides effective compression and security, issues can arise with its binary tree implementation. The paper concludes that Huffman coding is widely used but has execution challenges, and an optimal solution can be found through further analysis.