This chapter discusses text proofreading technologies, covering the significance, current status, and advanced algorithms, including deep learning and pretrained models like BERT. It introduces the NLPIR KDN algorithm, which combines spelling, grammar, and language error correction using phonetic and glyph similarity. A case study showcases its application in an automated proofreading system, improving text accuracy and efficiency in real-world use cases like online platforms and office plugins.