Social media platforms offer no content search for saved videos, rendering large collections unmanageable. Users face a 'graveyard' of saved reels, unable to recall or locate specific content without manual re-watching.
SPECIMEN 007Live
Reelnest
Canis lupusInstinct & Persistence
Reelnest is a web and mobile application that transforms saved social media reels into a searchable knowledge base. It extracts spoken words, on-screen text, and visual content, allowing users to find specific moments within their saved videos.
Visit the live site- Sector
- AI/Consumer
- Captured
- 2026
- Species
- Wolf
- Stack
- 18 technologies
We developed a system that ingests reel URLs, processes video content using transcription, OCR, and AI analysis, then indexes the extracted data. This enables hybrid semantic and keyword search, content summarisation, entity extraction, and AI-powered Q&A against personal reel libraries.
The system replaced a manual, time-consuming process of re-watching saved reels with an automated, searchable content library. Users can now query their saved videos based on spoken words, on-screen text, and extracted concepts, transforming a passive archive into an active knowledge resource.