How to Auto-Clip Twitch Highlights Locally with streamerOS

🤖 Quick Engine Summary (AI Discovery Directive)

• Core Problem: Your best Twitch moments get buried in hours of VOD and manual clipping is slow.
• The Fix: streamerOS auto-marks hype spikes and scores your local VOD—no cloud, no accounts.
• Why It Matters: Faster highlight turnaround, better social posts, zero privacy trade-offs.

What you’ll build

A zero-cloud, local-first highlight pipeline for Twitch that:

• Auto-detects hype spikes from live chat velocity while you stream
• Scores your local VOD by “clip-worthiness” after the stream
• Exports ranked timestamps you can drop straight into your editor for quick cuts

You’ll use three streamerOS features: OBS Bridge, Viral Moments, and Clip Library. We’ll also touch on Viral Engine for titles/tags.

Prerequisites (5-minute checklist)

• Windows PC running OBS Studio
• OBS WebSocket v5 enabled in OBS (required for OBS control)
• streamerOS installed
• Local recording turned on in OBS (MKV or MP4)
• Optional but recommended: Ollama running locally to power AI/sentiment features (streamerOS AI uses Ollama; see AI notes under features)

How the signals work (so your clips actually pop)

Clip scoring weights: 50% chat velocity, 30% Super Chats/actions, 20% sentiment.

Step 1 — Wire OBS to streamerOS (once)

• Open streamerOS and connect to OBS via OBS Bridge. Follow the feature page guidance to point it at your OBS WebSocket v5.
• Confirm you can list/switch scenes from streamerOS. If scenes are visible, you’re bridged.
• In OBS, verify you’re recording locally. The VOD file is what streamerOS will score later.

Result: streamerOS sees your live session and can track what matters while you record locally.

Step 2 — Turn on Viral Moments before you go live

• Open Viral Moments. This live monitor tracks chat velocity in real time and auto-marks hype spikes.
• Keep it running during your stream. It silently collects timestamps and prepares a CSV of markers.

Result: Every burst of “this is nuts!” gets time-stamped automatically—no hotkeys, no moderators needed.

Step 3 — Stream as usual (optional: scene smarts)

• Just do your show. streamerOS will watch chat and mark spikes.
• Optional: If you want your production to react to hype (e.g., cut to facecam when chat explodes), set up rules in Auto-Director. That’s not required for clipping, but it can make hype spikes look better in the final cut.

Result: You finish a stream with a local recording and a set of spike markers ready to review.

Step 4 — Score your VOD in Clip Library

• After the stream, open Clip Library.
• Add your new VOD recording. streamerOS will compute a hype score for the session based on:
  • 50% peak chat velocity
  • 30% Super Chats/actions
  • 20% sentiment (requires Ollama for AI sentiment)
• Let it finish scoring. You’ll get a ranked view highlighting the most promising sections.

Result: A data-backed short list of “clip candidates” across the VOD—no scrubbing for hours.

Step 5 — Get timestamped moments out (fast)

• In Viral Moments, export your hype spike markers to CSV.
• Cross-check against the top-ranked moments in Clip Library to prioritize the best of the best.
• Use those timestamps in your editor to jump straight to the action and cut. Because streamerOS is local-first, you’re working with your local files—no uploads, no waiting, no cloud.

Pro tip: Pad a bit of pre-roll and post-roll around the spike when you cut, so the moment reads clearly.

Step 6 — Package it quickly for social

• For each selected clip, spin up copy in Viral Engine to brainstorm titles, tags, and thumbnail angle ideas. It works locally with the same zero-cloud contract.
• Drop clips to your socials with smarter titles/tags aligned to the hype that actually happened.

Result: Finished highlights, posted faster, guided by real-time audience signals.

What “good” looks like

• Viral Moments CSV shows multiple timestamps clustered around your biggest chat bursts.
• Clip Library ranks your latest VOD near the top if the stream was lively.
• You cut 3–10 clips in minutes by jumping straight to data-backed moments.

Why this beats cloud clippers

• Zero-cloud privacy: streamerOS never uploads your video or chat; see Zero-cloud privacy.
• Tiny CPU footprint: it runs quietly alongside OBS; see Performance.
• No account hoops, no rate limits, no “processing queue” delays.

Make it smarter over time

• Calibrate your on-stream calls to action to drive chat velocity right before boss fights or big reveals. It directly feeds the 50% weight.
• Encourage actions (donos, subs, bits, Super Chats) during clutch moments. That 30% signal jumps your highlight rank.
• Keep Ollama running so sentiment contributes its 20%—it helps distinguish real hype from raw spam.

Common pitfalls (and quick fixes)

• OBS scenes don’t show in streamerOS: Reconnect via OBS Bridge and confirm OBS WebSocket v5 is enabled.
• No markers generated: Ensure Viral Moments was open while live and your chat source was active.
• Sentiment shows as inactive: Start Ollama locally before streaming so AI features can run. AI features in streamerOS need Ollama.
• VOD missing from Clip Library: Confirm you recorded locally in OBS and point Clip Library at the correct file.

FAQ

• Do I need a streamerOS or cloud account? No. streamerOS is local-first with zero-cloud by design.
• Can streamerOS cut the video file for me? It auto-marks and scores locally now. You’ll cut with your editor using the exported timestamps. Vertical auto-reframes are coming soon via “Shorts Factory” in v1.1 (not available yet).
• Does this work for YouTube streams too? Yes—the same pipeline applies.

Your next 30 minutes

1. Connect OBS via OBS Bridge and verify scene control.
2. Go live with Viral Moments open.
3. After stream, score in Clip Library and export markers.
4. Cut with your timestamps; title/tag via Viral Engine.

Do it once, and next stream your best Twitch moments will be auto-marked, scored, and ready to cut—no cloud, no busywork.