Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/3799 2018 2018 College of Computer Science and Information Technology, University of Kerbala, Iraq Huda Huda College of Computer Science and Information Technology, University of Kerbala, Iraq Rand Abdulwahid Albeer College of Computer Science and Information Technology, University of Kerbala, Iraq Dhamyaa A. Nasrawi College of Computer Science and Information Technology, University of Kerbala, Iraq Huda Hallawi College of Computer Science and Information Technology, University of Kerbala, Iraq Muthanna Medin Nasser College of Computer Science and Information Technology, University of Kerbala, Iraq Ibrahim Haider Jabbar College of Computer Science and Information Technology, University of Kerbala, Iraq Burhan Karar Abbas Data compression technologies play a big role in various areas where efficient data storage and transmission are essential. Data compression is the science of reducing redundant data to a compact form, which used to safely store files or information. On the other side, Unicode is a global standard for the representation of text and symbols in computers. The basic elements of the Unicode standard are code points, which represent a specific symbol. Unicode provides a unified way to map and manage these points to ensure consistent representation and interpretation of text data across different systems, platforms, and languages. This paper proposes a method to compress texts in Arabic, based on Unicode ligatures, which typically join characters together. This method replaces two or more Unicode Arabic ligature characters with a single Unicode Arabic ligature based on their appearance in the Arabic text file, eliminating the need for coding or decoding. The size of the original and output text files has been compared to show the percentage of compression. The selected dataset: Modern Standard Arabic text involves Arabic news, and Classical Arabic text involves Arabic Holy and Honorific text collected from Kaggle. The percentage of compression depends on the frequency of ligature characters in Arabic documents. Unfortunately, the results were not promising, as the method was only able to compress the file to a very small percentage (6.71 %and 12.82 %, respectively, for Arabic news and Arabic Holy text). We think that the proposed method can be improved by using a hybrid technique of text compression in the future; in addition, consider other properties of Arabic Unicode. Programming can express competency concepts in a well-defined mathematical model for a particular. 2025 2025 12 23 10.54216/FPA.200102 https://www.americaspg.com/articleinfo/3/show/3799