Sonic Summarization

In today’s fast-paced digital world, people are surrounded by long podcasts, lectures, and video content but rarely have the time to go through them in full. The Sonic Summarization system addresses this challenge by automatically creating short and meaningful summaries that are available in both text and spoken form. The framework brings together three major technologies: speech recognition for transcribing spoken content, natural language summarization for compressing information into concise text, and text-to-speech for converting the output into audio. The system works with YouTube links, uploaded recordings, or even raw text, making it flexible for different use cases. Tests show that Sonic Summarization can reduce listening and reading time by over 70%, while still capturing the essential points. This makes it useful not only for students and researchers but also for professionals who need quick insights without spending hours on lengthy material.