An algorithm that scans a long-form video and predicts which short segments are most likely to perform as standalone shorts.
Viral clip detection analyzes a source video (podcast, webinar, long-form YouTube) and scores segments on signals like speaker energy, topic novelty, quotable lines, question-answer structure, and audience engagement cues. The output is a ranked list of 30–90 second clip candidates.
OpusClip is the specialist category leader with two years of training data on what clips perform. Kompozy includes viral clip detection as one primitive inside a five-bucket fan-out, alongside text, image, blog, and newsletter generation from the same source.