Automated video clip generation for short form ads

Short-form ad clipping tools solve a specific, narrower problem than general video editing: given one long source video, find the segments most likely to work as a standalone 15-60 second ad. The AI's job is triage — surfacing candidates fast — not final creative judgment.

How the Pipeline Works

1. Ingest: Upload a file or paste a link (YouTube, Zoom recording, raw ad footage). Tools like OpusClip accept direct uploads or links from major hosting/meeting platforms.

2. Segment detection: The tool scores moments in the source — pacing, spoken hooks, visual changes — and proposes clip boundaries. This is a heuristic ranking, not a guarantee any given clip will perform as an ad.

3. Auto-reframe and caption: Selected segments get reframed to vertical (9:16) and captioned automatically. CapCut and OpusClip both support this as a built-in step, not a separate tool.

4. Human review: Before spending ad budget, watch each candidate clip with sound off (matching how most viewers will first encounter it) and confirm captions are accurate and nothing important got cropped by the auto-reframe.

# Track which auto-generated clip candidates passed human review,
# so ad spend only goes behind clips someone actually checked.
import csv
from dataclasses import dataclass

@dataclass
class ClipCandidate:
    source_video: str
    start_seconds: int
    end_seconds: int
    caption_accurate: bool
    reframe_ok: bool

    def approved_for_spend(self) -> bool:
        return self.caption_accurate and self.reframe_ok

candidates = [
    ClipCandidate("webinar_q3.mp4", 45, 78, caption_accurate=True, reframe_ok=True),
    ClipCandidate("webinar_q3.mp4", 190, 221, caption_accurate=True, reframe_ok=False),
]
approved = [c for c in candidates if c.approved_for_spend()]
print(f"{len(approved)} of {len(candidates)} candidates cleared for ad spend")

These tools remove the tedious part — scrubbing through an hour of footage looking for a usable 30 seconds — but they don't remove the need for a human to confirm a clip is accurate, on-brand, and legible before it becomes a paid ad.