# How to pull highlights from hours of livestream recordings

> A two-hour webinar ends, and someone on the team asks for clips: the demo moment, the line worth posting.

Canonical URL: https://vivu.ai/guide/livestream-highlights

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 a search layer over the whole library rather than over one file at a time. You ask a plain question and get back timestamped moments from every recording at once, including the ones made long before anybody set the tool up. That is what turns "did anyone ever explain the pricing objection well?" into a question with an answer instead of a project nobody has time for.

[Vivu](https://vivu.ai/platform) does this half and stops there. It finds the moments and hands over the timestamps, and cutting the clip stays with your editor, in the tools they already use. For a backlog of thirty recordings that split is the whole point, because the scrubbing was the expensive part and the cutting never was.

## 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.