The purpose of this article is to present the Colombian sign language translator software capable of communicating deaf-mute people with people of common speech, improving the adaptation of deaf-mute people to society since they are very excluded today, a tool that seeks to influence the improvement of communication and relationships between ordinary people who suffer from this condition, in addition to not only being able to interact with deaf-mute people but also with people who have other conditions, for example a blind person can communicate with a deaf-mute person, a mute person could also communicate with a deaf-mute person. The processing of the images was achieved by capturing points on the hands, which in total add up to twenty-one points recognizable by the training module. The software is based on Machine Learning modeling through Artificial Neural Networks. The storage of the letters was reflected in a 98% approval rate. The aim is to process videos where words can be extracted in the form of signs and stored in the database, where in the future it will serve as a basis for new artificial intelligence projects.