The problem: speech is invisible to monitoring tools
A press conference, an earnings call restream, a governor's briefing, a marathon Twitch broadcast - none of it is text while it is happening. Google Alerts, social listening dashboards, and RSS watchers all fire only after someone writes the words down, which can be minutes to hours after they were spoken. If your edge or your story depends on a specific phrase being said on air, you have historically had exactly one option: sit and listen.
Keyword alerts on a live transcript replace the sitting-and-listening. The stream's audio is transcribed in real time, every line is matched against your watchlist, and you get an alert the instant a watched word is spoken - typically seconds after it leaves the speaker's mouth.
Step 1: Start a live transcript
Paste the stream URL into LiveScript - YouTube and Twitch work in the web app; other sites work through the Chrome extension's tab capture. The transcript starts building immediately and keeps the full history of the broadcast. (The step-by-step walkthrough is in the live-stream transcription guide.)
Step 2: Tag the words that matter
Add keyword tags to the stream: names, tickers, project names, place names, regulatory phrases - whatever your watchlist is. From then on LiveScript plays a sound the moment any tagged word is matched in the live transcript, so the stream can sit in a background tab while you work. Tags are per-stream, so a finance stream and an esports broadcast can carry completely different watchlists.
Step 3: Verify with the transcript, not your memory
When an alert fires, the surrounding transcript is the context: scroll to the match, read exactly what was said before and after, and confirm the timestamp. That takes seconds - and it is the difference between acting on "I think they said it" and acting on a quoted, timestamped line. Pro users can export the transcript as VTT or SRT afterwards if the record needs to leave the app.
Don't want to babysit the channel? Automate the start
The weak point in any monitoring workflow is the stream you did not know had started. Drop alerts close that gap for YouTube: LiveScript watches the channels you list and emails you within about a minute of a new video or live stream appearing - and can start the transcript automatically, so by the time you click the link the text is already searchable back to the first minute.
Who runs this workflow
Prediction market and event traders tracking announcements that resolve markets. Journalists on live pressers who need the quote, verbatim, now. Analysts covering earnings and central-bank streams. Compliance and brand teams watching for their company's name on partner or competitor broadcasts. Esports bettors listening for lineup and injury news in live commentary. The common thread: the value of a spoken phrase decays in minutes, and text-based monitoring is structurally too late.
What it costs
The free plan lets you trial the pipeline with a 5-minute transcript delay. Real-time alerts need Pro ($19.99/month) - or a $4.99 Day Pass if you are monitoring a single event rather than running this daily. Developers who want matches in their own systems can consume the live transcript over a WebSocket via the API.