Video summarization pipeline that converts long-form videos into readable articles. The system integrates Automatic Speech Recognition (ASR) to transcribe audio into text with timestamp that speaker talk (or multi-speaker) from open-source model, applies large language model for summarization and topic segmentation, and uses key-phrase or speaker-based importance detection to extract visual highlights (frames) aligned with the narrative.

Applications
- Automated video blogging or podcast summarization
- Lecture and meeting note generation with visual context