Highlights
Automatic Twitch highlights from your VODs
Let Riveloop find the most promising moments in the live: audio, chat, and transcript guide the cuts—you stay in control of the export.
What automatic highlights are
They’re suggested segments on the VOD timeline: clutches, reactions, chat spikes. They cut down manual scrubbing after hours of stream.
Each highlight has a start, end, and relative score—you can compare them and choose what becomes a clip.
Which signals Riveloop uses
Ranking combines multiple cues so a single audio spike or chat flood doesn’t decide alone.
- Audio peaks and energy from the VOD
- Chat message density in the window
- Transcript for contextual titles and subtitles
From moment to export
After selection, you generate vertical or native Twitch clips. In the Stories editor you can add text and stickers before burn-in for social.
When they make sense
They’re useful if you publish often after lives and want an automatic first pass. If you prefer fully handmade edits, they still work as a quick index of candidates.
Domande frequenti
Specific answers for this flow.
How do automatic Twitch highlights work?
Riveloop combines audio peaks, chat density, and transcript to suggest relevant time windows in the VOD. They don’t replace your judgment—they’re a starting point to cut faster.
Are highlights always accurate?
They depend on the quality of available audio, chat, and transcript. You can review, discard, or adjust segments before generating clips.
Can I export highlights as vertical clips?
Yes. From selected moments you generate 9:16 clips for TikTok, Reels, and Shorts, or native Twitch clips in the original format.
Do I need Whisper or an API key?
Transcript improves titles and subtitles when available. The highlight flow stays useful with audio and chat signals alone.