Opus Clip

OpusClip ingests a long-form video — via URL or direct upload — and returns a set of short clips ranked by an AI scoring model the vendor calls ‘Virality Score.’ The workflow is one-shot: submit the video, receive ranked clips, download or schedule. No iterative prompting, no agent loop. The output includes auto-generated captions, speaker identification, and aspect-ratio reformatting for the major short-form platforms. An API is available for teams that want to wire the tool into a content pipeline or CMS.

The differentiating feature is the ranking layer. Rather than returning clips in chronological order, OpusClip surfaces the moments its model predicts will perform — based on hook strength, speaker cadence, and topic signal. For podcast and webinar teams that don’t have bandwidth to scrub hours of footage, this is the actual time save. You’re not just automating cutting; you’re outsourcing the judgment call about what’s worth cutting.

OpusClip fits tightly into workflows where the source material is audio-dominant — interviews, panel discussions, lectures, product demos with narration. It fits less cleanly when the value of a moment is visual: a sports play, a product reveal that depends on motion, a documentary sequence where B-roll carries the meaning. The model scores what it hears and sees in aggregate; it doesn’t understand narrative arc. Agencies producing high-volume social content for clients with consistent talking-head formats will extract the most value. Teams with diverse source footage will spend time reviewing and discarding clips the model misjudged.

The API enables automated ingestion — the vendor docs describe endpoints for submitting videos and retrieving clips programmatically. The free tier is credit-gated and adds a watermark to exports; paid-only tiers remove the watermark and increase processing volume. Team collaboration features and custom branding are paid-only features.