About
SummarAIse turns long videos into useful research notes.
The project watches selected long-form channels and converts each video into a clean summary, transcript, topics and source metadata.
How summaries are generated
- Video metadata and transcripts are collected from source videos when available.
- Long videos are split into chapters or time-based chunks so the model keeps context local and precise.
- Local/controlled LLM workflows produce executive summaries, TL;DR blocks, chapter summaries and optional alpha notes.
- WordPress stores the public pages, clean URLs, canonical TL;DR meta and shared topic taxonomy.
Transparency
This is a curated research layer, not a replacement for the original video. Source links remain available on every summary page.