Brain2Qwerty is an innovative non-invasive brain-computer interface technology designed to achieve text input by decoding brain activity. This technology utilizes deep learning architectures in conjunction with electroencephalography (EEG) or magnetoencephalography (MEG) signals to transform brain activity into text output. Its significance lies in providing a safe and effective communication method for patients who have lost their language or motor abilities, while bridging the gap between invasive and non-invasive brain-computer interfaces. Although this technology is still in the research phase, it has broad potential applications and is expected to play an important role in fields such as healthcare and rehabilitation in the future.