Every AI conversation in media eventually arrives at the polished cut or the published story. This session starts one step earlier, at the raw feed, the moment content first exists
Every AI conversation in media eventually arrives at the polished cut or the published story. This session starts one step earlier, at the raw feed, the moment content first exists as audio or video.
Trint founder Jeff Kofman shows how live ingest turns a stream into speaker-attributed text within seconds of something being said, and how automatic metadata extraction pulls out the names, time codes, topics and key soundbites that would otherwise cost an assistant producer an hour.
Rather than one tool in isolation, the session follows a single continuous chain: a camera capturing in the field, a live signal carried back over a bonded connection, transcription and tagging as the feed arrives, a newsroom system pulling the tagged transcript into a rundown, and an editing suite cutting from that same searchable text. Including the places where a human has deliberately been kept in the loop instead of the judgement calls being automated.
