The text-in-image watermarking technique, empowered by deep learning, can significantly enhance security and authenticity in emerging applications like digital rights management and blockchain-based content distribution. By embedding unique text watermarks within images using deep learning models, content creators can assert copyright, authenticate ownership, and track the distribution of their digital assets effectively. These watermarks can serve as digital signatures that validate the authenticity of the content and protect it from unauthorized use or manipulation. In blockchain-based content distribution systems, the embedded text watermarks can be used as proof of ownership and origin, ensuring traceability and preventing unauthorized modifications. Leveraging the adaptability and robustness of deep learning models, this technique can provide a reliable and tamper-proof method for securing digital content in the evolving landscape of digital rights management and blockchain applications.