What is AI story search?
AI story search uses machine learning to scan live radio, TV, social, and structured data feeds, then surface relevant news stories in real time with source context.
Use oruk's AI story search to find live news across global radio, TV, social broadcasts, and structured feeds in real time.
AI story search turns live broadcast monitoring into a searchable news surface. oruk listens to radio, TV, social, and structured feeds, transcribes and translates broadcast audio, groups related mentions into stories, and keeps source context attached so you can verify what happened without waiting for a finished article.
The index is built for speed and corroboration. Search by person, place, organization, ticker, incident, source, or topic, then open any result to see the originating station, location, timestamp, summary, and related context. It is useful when a story is still developing and the first reliable signal may be a local broadcast, public agency feed, or independent source rather than a web article.
Journalists use AI story search to find early mentions and compare what independent broadcasters are saying. Researchers use it to follow regional coverage across languages. Media monitors use it to track developing narratives in real time. Developers and agents use the same story layer through the API when they need low-latency news in a clean machine-readable format.
AI story search uses machine learning to scan live radio, TV, social, and structured data feeds, then surface relevant news stories in real time with source context.
oruk AI story search is a real-time, multilingual search engine for live news stories from global radio, TV, social broadcasts, and structured event feeds.
Yes. Basic oruk AI story search is free to try in the browser, with paid API plans available for higher-volume programmatic access.
Journalists, researchers, analysts, media monitors, and developers use AI story search to find breaking events, compare sources, and follow live broadcast coverage.