Long-form to short-form clipping
Long-form to short-form clipping is the process of taking a long video — a podcast, livestream, or YouTube video — and automatically extracting the most engaging moments as vertical short-form clips.
Clipping engines use a transcript plus an LLM to score moments by likely engagement, then re-frame the speaker to a 9:16 aspect ratio and add burned-in captions. The output is dozens of short-form clips ready for TikTok, Reels, and YouTube Shorts. Schedulin includes a clipping engine that uses Deepgram for transcription and Claude for highlight selection.