captions-and-clipping

# captions-and-clipping The **transform** producer of the video cluster — it turns existing long-form into native short clips with sound-off captions, the engine behind the Shorts funnel and cross-platform reach. Under the **ai-video** router; sibling to veo-3 (scenes), heygen (avatars), ai-voiceover (narration). ## The POV: a clip is a standalone Short, not a random 30 seconds AI tools find candidate moments and auto-caption fast — but the **virality score is a hint, not a verdict** (clips rated 40 beat 85; ~70% need cleanup), so a human still picks the moment that **stands alone with its own hook**, reframes so the subject stays in frame, captions for mute viewing, and ships **clean** (no other-platform watermark — it trips the Originality Score on Reels/ Shorts). One long video → ~10–30 native clips, each a real Short. ## Read these first 1. **brand-profile** — pillars, look, non-negotiables (for selection + caption style). 2. **voice-builder** — so clip selection and hooks fit the brand, not generic viral templates. ## The framework: CLIP (Depth: `references/the-clip-framework.md`.) - **C — Cut to the moment:** AI moment-detection (Opus Clip ClipAnything) surfaces candidates; a human picks complete, hook-first, on-strategy clips. - **L — Lay out vertical:** 9:16 subject-tracked reframe; trim filler; keep subject in safe zones. - **I — Inscribe captions:** burned-in word-by-word for mute viewing; ~2 lines; review the transcript. - **P — Polish & publish clean:** stri...