Turn Zoom Recordings Into Shareable Clips Automatically
Hours of Zoom recordings pile up — coaching calls, webinars, team all-hands — and the valuable moments stay buried in the MP4. OpenClip finds them, cuts them, reframes the speaker for vertical, and captions every word, turning meeting archives into publishable content.
Scenario
Zoom makes recording effortless — cloud recordings land as MP4s in speaker view, gallery view, or shared-screen layouts — and that's exactly the problem: organizations accumulate hundreds of hours nobody will ever rewatch. Inside those files sit genuinely reusable moments: a coach's breakthrough explanation on a client call, the three sharpest minutes of a 60-minute webinar, a founder's answer at an all-hands worth sharing company-wide. Extracting them manually means scrubbing recordings at 2x, cutting in an editor, and dealing with Zoom's layouts — gallery grids that crop horribly and speaker view that switches unpredictably. OpenClip processes the recording directly: transcription with speaker diarization maps the conversation, AI detection scores segments for standalone value, and face tracking reframes the relevant speaker into clean 9:16 or keeps 16:9 for internal sharing — with word-level captions burned in either way.
Workflow
Upload your Zoom recording
Drop in the MP4 from your Zoom cloud recording folder or local recording. Speaker view works best, but gallery view and mixed layouts are handled — the AI locates faces wherever the layout puts them.
AI transcribes and maps speakers
The full recording is transcribed with speaker diarization, turning an opaque hour of video into a structured conversation the detection engine can reason over.
Key moments are scored and ranked
Segments are rated for standalone value — clear explanations, strong answers, decisions and announcements — surfacing the 5-15 moments worth extracting from a call nobody wants to rewatch.
Speaker reframed, dead air removed
Clips cut on conversational boundaries, skipping the 'can everyone see my screen?' preamble. For social use, face tracking reframes the speaker to 9:16; for internal use, keep the original framing.
Captioned clips for any channel
Word-level captions burn in for muted viewing — whether the clip ships to LinkedIn, an internal Slack channel, a course library, or a client recap email.
Benefits
Key Metrics
5-15
Clips per recording
30-90 min
Typical source length
~10x faster
Review time saved
Word-level
Caption sync
Features
Meeting Moment Detection
Finds the explanations, answers, and announcements with standalone value — the segments a human would bookmark if anyone actually rewatched recordings.
Zoom Layout Handling
Speaker view, gallery grids, and screen-share-plus-thumbnail layouts are all parsed — face tracking locates participants wherever Zoom's compositor put them.
Vertical Reframe for Social
The relevant speaker is reframed into clean 9:16 for LinkedIn, Reels, or Shorts — a webcam tile becomes a presentable vertical clip.
Captions for Silent Contexts
Word-level burned-in captions make clips work where sound is off by default: social feeds, Slack previews, and inbox-embedded video.
One Recording, Many Channels
The same detection pass feeds social clips, internal comms snippets, course material, and client recaps — cut once, distribute everywhere.
You Control What Ships
Every clip is reviewable before export — essential when source recordings contain client conversations or internal discussion.
Frequently Asked Questions
Your Zoom Cloud Is Full of Content Nobody Has Cut Yet
Upload a Zoom recording to OpenClip and get the key moments back as captioned, speaker-framed clips — for social, Slack, or anywhere your audience actually watches.