Turn Long Videos Into Short Clips Automatically
Every long video — podcast, stream, lecture, keynote, vlog — contains a handful of moments built for short-form. OpenClip finds them with AI, reframes them vertical with face tracking, captions every word, and hands you a ranked clip set from a single upload.
Scenario
The gap between long-form and short-form isn't just duration — it's economics. Long videos earn depth: subscribers, watch time, trust. Short clips earn reach: TikTok, Reels, and Shorts distribute to people who've never heard of you. Creators who feed both compound; creators who only make long-form stay invisible to the feeds where audiences are actually built. The conversion bottleneck is always the same three jobs: finding the moments (an hour of footage, maybe four postable segments), reframing (16:9 to 9:16 without decapitating anyone), and captioning (word-timed, styled, burned in). Done manually that's an hour or more per clip; done badly it's worse than not posting. OpenClip runs all three jobs from one upload of any long video — it transcribes, scores every segment for hook and payoff, tracks faces through the vertical reframe, and exports captioned clips ranked by predicted performance. Source length is the input, not the obstacle.
Workflow
Upload any long video
Podcast episode, livestream VOD, lecture, keynote, tutorial, vlog — paste a URL or upload the file. Ten minutes or four hours, the pipeline is identical.
AI transcribes and scores everything
The full transcript is analyzed segment by segment for hook strength, emotional spikes, self-containedness, and payoff — the properties that separate a clip from a random excerpt.
Review a ranked clip shortlist
Instead of a timeline, you get 5-15 candidates ranked by clip potential, each with clean in and out points cut on natural speech boundaries.
Vertical reframe with face tracking
Every clip converts from its source aspect to 9:16 with faces tracked and framed — single speakers, two-shots, and moving subjects all handled without manual keyframing.
Export captioned clips for every platform
Word-level captions burn in with your chosen preset, and the finished clips work across TikTok, Reels, and Shorts — one long video in, a multi-platform posting batch out.
Benefits
Key Metrics
5-15
Clips per video
Minutes to hours
Source length handled
~1 hr
Manual time per clip replaced
TikTok, Reels, Shorts
Destination platforms
Features
Viral Moment Detection
Every segment of the transcript is scored for hook, emotion, and payoff — the AI reads the whole video so you review a shortlist instead of a timeline.
Any-Aspect Vertical Conversion
16:9, 4:3, or ultrawide sources reframe to 9:16 with faces tracked and centered — no static crops, no manual keyframes.
Word-Level Captions, 10 Presets
Captions sync to each spoken word and burn into the export, styled from clean-minimal to bold-viral to match your brand.
Length-Agnostic Processing
A 3-hour VOD processes as easily as a 10-minute tutorial — longer sources simply yield a deeper pool of ranked moments.
Multi-Speaker Intelligence
Speaker diarization plus face tracking handles conversations, panels, and interviews — framing follows whoever is talking.
One Upload, Every Platform
The exported clip set is format-correct for TikTok, Instagram Reels, and YouTube Shorts at once — repurposing without re-rendering.
Frequently Asked Questions
Stop Sitting on Hours of Footage Worth Fifteen Clips
Upload any long video to OpenClip and get back a ranked set of vertical, captioned short clips — found, framed, and finished by AI.