In Peru, visual impairment affects 1,473,583 people, being the most frequent condition in the country, according to INEI. However, the region of Junin has only 15 Special Basic Education Centres, which represents only 0.6% of the total number of educational institutions, showing the lack of inclusive resources. For this reason, the present study aims to develop an automated transcription machine for transcribing printed texts in Spanish into Braille for educational institutions in Junin. The proposed prototype follows the VDI 2221 standard and integrates a Raspberry Pi 4B with OCR technology. Its interface allows scanning texts, processing files from USB, entering text manually or by dictation, as well as offering a help function for frequently asked questions. To promote autonomy and learning for visually impaired students, the system includes Braille buttons and a tactile alphabet. The captured text is translated into G-code and printed in Braille format by a CNC machine. As a result, the machine can transcribe up to 60 characters per minute with 95% accuracy, using an area equivalent to an A3- sized sheet of paper. Compared to traditional methods and commercial devices, this system is faster and cheaper. Finally, it is concluded that the proposed system facilitates access to inclusive educational materials, promoting the integration of visually impaired students into the educational environment in an efficient, accessible, and sustainable way.