Clipify

Find compelling moments in a video, cut them as standalone clips, optionally reformat 16:9 → 9:16 (face-pan or split-screen), time-warp pans for tighter reveals, and burn opus-style word-by-word captions.

Modes

Pick one before Step 1. The choice changes how you find moments and whether captions apply.

• Dialogue mode (default for podcasts, interviews, talking-heads): Whisper transcribes, you scan for punchlines / reactions / awkward pauses. → Step 1A. Captions in Step 5.
• Action mode (woodchopping, sports, percussion, drumming, anything with repeated impact sounds): skip Whisper entirely, run detect_transients.py to find each strike, cut on each one. → Step 1B. Skip Step 5; the strike sounds are the rhythm.
• Hybrid: dialogue mode for talking sections, action mode for the rest, intercut. Use both 1A and 1B.

If the user says "I'm not talking in this," you're in action mode. If they say "cut on each X" (chop, hit, punch, drumbeat, swing, footstep), you're in action mode. Default to dialogue mode otherwise.

Inputs

• A video file path (the user will provide it; otherwise ask)
• Optional: requested format (9:16, 16:9, 1:1), if not given, ask after candidates are picked
• Optional: subtitle style preference, if not given, ask before captioning

Tooling (use only the fastest path)