AI podcast clip generator for captioned, vertical clips

The strongest sentence is not always the right start. A claim may need the question immediately before it, while a story may need one line of setup to make the payoff understandable. ClipFlap considers those boundaries and prefers a complete idea over a shorter fragment that opens or closes mid-sentence.

Candidates are also judged for standalone value and overlap. When a transcript window is weak, returning fewer useful candidates is better than inventing quantity. The final choice remains reviewable in the dashboard before download or publication.

• A clean opening that does not begin inside an unexplained sentence.
• Enough context for a viewer who has not watched the episode.
• A natural resolution rather than a cut made only to hit a duration target.

A selected passage still needs an intelligible crop, readable captions and a title that matches what was said. Speaker-aware reframing and word timing address those production checks, while the cover title remains editable after the first render.

Processing time varies with source length and queue load. Jobs run in the background, and individual clip failures do not have to erase the successful outputs from the same episode.