In development
Content Summariser
Real-time AI summaries for long-form video content
A Laravel-powered summarization tool that streams AI-generated insights from YouTube transcripts - chunked processing, multi-model support, and follow-up questions for deeper understanding.
Problem
Long videos bury useful information. Watching end-to-end is slow; generic summaries often miss context and give no way to dig deeper.
Solution
Content Summariser fetches transcripts, chunks content for reliable model context, streams summaries in real time over WebSockets, and supports follow-up questions across multiple AI models.
Who it is for
Researchers, learners, and teams who need to extract signal from long YouTube content quickly.
What it delivers
Hours of video become structured insight in minutes - with streaming feedback and room to ask follow-ups.
- WebSocket streaming for live summary output
- Content chunking for long transcripts
- Multi-model AI support
- Follow-up question flow for deeper exploration
Product previews
Technologies
- Laravel
- WebSockets
- AI APIs
- PHP
- Real-time streaming
Prefer a deeper technical write-up? Read the project case study.