Turn Podcast Episodes Into YouTube Shorts Automatically
Every hour-long episode hides a handful of moments that could stop a scroll. OpenClip listens to your whole episode, pulls the sharpest exchanges, keeps the active speaker framed through the vertical crop, and ships captioned Shorts — the clip workflow that used to need an editor on retainer.
Scenario
Podcast growth has quietly become a clips game: the Shorts feed is where new listeners first encounter a show, and the biggest podcasts run entire teams cutting vertical highlights from every episode. For independent shows the math is harsher — an hour-plus episode recorded on Riverside, Zoom, or a two-camera studio setup, needing someone to find the 30-second exchanges that stand alone, reframe a wide two-shot into 9:16 without losing whoever's talking, and caption everything for the sound-off feed. That's hours of editing per episode, every episode. OpenClip automates the pipeline end to end: it transcribes the episode, uses speaker diarization to follow the conversation's structure, scores segments for hook and payoff, and exports Shorts with face-tracked framing that cuts between speakers and word-level captions burned in. Since Shorts now run up to 3 minutes, even a full story or extended answer fits.
Workflow
Upload your episode or paste a link
Submit the video version of your episode — a Riverside or Zoom recording, a studio multi-cam export, or the YouTube upload of a past episode. Hour-plus runtimes are the normal case, not the limit.
AI maps the conversation
OpenClip transcribes the episode with speaker diarization, so it knows who said what and where exchanges begin and end — the structure a human clipper reads before choosing moments.
Best moments are scored and ranked
Segments are rated on hook strength, emotional register, and whether they stand alone without episode context. You review a ranked shortlist of 5-15 candidates instead of relistening to the whole show.
Speaker-tracked vertical framing
A center-crop of a two-host wide shot shows a table and half of each face. OpenClip's face tracking reframes to whoever is speaking and cuts between speakers as the exchange moves.
Captioned Shorts, ready to post
Every clip exports in 9:16 under the 3-minute Shorts cap with word-level captions in your chosen preset — a consistent visual identity across your show's entire Shorts shelf.
Benefits
Key Metrics
5-15
Shorts per episode
3 min
Shorts max length
3-5 hrs/episode
Editing time replaced
Word-level
Caption sync precision
Features
Conversation-Aware Detection
The AI reads the episode's transcript structure — questions, answers, stories, debates — and surfaces exchanges that work cold, for a viewer who's never heard your show.
Multi-Speaker Diarization
Knows which host or guest is talking at every moment, so clips start and end on conversational boundaries and framing follows the right person.
Two-Shot to Vertical Framing
Face tracking converts wide studio shots and side-by-side remote layouts into 9:16 framing that cuts between speakers — no half-faces at the frame edge.
Word-Level Podcast Captions
Captions sync to each spoken word in 10 visual presets, keeping fast conversational back-and-forth readable in a muted feed.
Hour-Long Episodes, One Pass
Feed it the full episode. Runtime scales the number of detected moments, not the amount of manual work.
Discovery Flywheel
Shorts are the top of the podcast funnel: a strong clip converts scrollers into episode listeners, and the Shorts feed keeps recommending old clips indefinitely.
Frequently Asked Questions
Your Next Episode Should Ship With Its Own Shorts
Upload an episode to OpenClip and get a ranked set of speaker-tracked, captioned Shorts — the clip pipeline big podcasts staff a team for, running on autopilot.