A two-hour webinar ends, and someone on the team asks for clips: the demo moment, the line worth posting. The default method is scrubbing the timeline at 2x speed and writing down timecodes. For one recording, that's an afternoon. Against a backlog of thirty recordings, it stops happening at all, and the archive just sits there.
There are three ways teams actually handle this, in rough order of effort.
Mark the moments while you're live
The cheapest fix is a running timestamp doc. Whoever is producing the stream notes the clock time whenever something clip-worthy happens, and the editor works from that list afterward. This costs nothing and it works. Its two limits: it depends on a person doing it live, every single time, and it does nothing for the recordings you already have.
Transcript first, then read
The next step up is generating a transcript for each recording and skimming it for quotable lines, then jumping to the matching timecode in the video. Reading is faster than watching, so this beats scrubbing. But it is still one file at a time. When the question is "did anyone ever explain the pricing objection well, in any of our streams?", opening transcripts one by one is the same backlog problem in a different format.
Search the archive by what was said
The third route is an AI video search layer over the whole library. This is what Vivu does: it connects to the storage you already use, with file names and folders staying as they are, and indexes each recording once at ingest. From then on, anyone can type a plain question and get back exact timestamped moments with their surrounding context, across every recording in the library at once, including everything recorded before the tool showed up.
Two boundaries worth knowing. Vivu does not edit or generate video; it finds the moments, and cutting the clip stays in your editor's hands, in their own tools. And the footage stays private, with access you control.
Which route do you need?
Honest scoping: if you only ever clip yesterday's stream and never touch the backlog, a live timestamp doc plus a transcript tool may be enough. A search layer earns its place when the questions start spanning the archive, or when "we know we said it somewhere" has become a recurring sentence in your meetings.
If you want to see how it behaves on your own material, Vivu's demo is 30 minutes, on your footage.