In recent years, the surge of harmful content on internet has impacted a vast majority of users, necessitating advanced measures to curb this trend. In this paper, we delve into the application of linguistic sensitivity upgrades using some techniques to address and mitigate offensive text. With the rampant growth of social media, there has been alarming increase in harmful and offensive content that negatively impacts users. Such content not only creates an unsafe online environment but also propagates hate, misinformation and discord. While there are mechanisms to detect and remove offensive content, few focus on contextual understanding and transformation of this content into a non-offensive format. Thus, there is an imminent need for an advanced solution that doesn’t just detect but also convert offensive text into contextually appropriate and respectful language.