OpenClip for Clipping Agencies
An agency producing 40 clips a day and one producing 120 have the same payroll and completely different margins. At campaign rates clustering near $1 per 1,000 verified views, throughput per editor hour is the business, and everything else is overhead.
Pain Points
One VOD to a Team-Wide Clip Batch
Pull the approved source VOD for the client or campaign, confirming it is footage you actually have permission to cut
Upload it to OpenClip and let AI viral moment detection return ranked candidates instead of assigning someone hours of scrubbing
Have a senior reviewer keep or kill candidates against the campaign's rules page, which takes minutes rather than an editing shift
Apply the client's agreed caption preset and export the batch at 9:16 with face and speaker tracking on
Distribute the finished renders to the posting team with the account, hook and submission deadline attached to each one
Standardising Output Across Editors
Define one caption preset, one aspect ratio and one length band per client, written down where the whole team can see it
Build a reference batch from a single VOD that shows exactly what an acceptable clip looks like for that client
Require new editors to match the reference batch before they touch live campaign work
Move review to a keep-or-kill decision on detected candidates rather than line-by-line notes on finished edits
Revisit the standard monthly using what actually performed, not what the team prefers stylistically
Per-Account Variation Discipline
Start from one approved moment and render multiple distinct variants rather than duplicating a finished file
Change the caption preset between variants so the on-screen look genuinely differs
Change the trim so each variant opens on a different frame and a different spoken line
Alternate speaker-tracked and static framing so the pixels differ, not only the text
Log which variant went to which account, so nobody can accidentally repost the same render twice
Features
Batch Processing
One upload produces a full batch of clips, which is how an agency raises output without raising headcount. Campaign pools are raced, so production speed is revenue.
AI Viral Moment Detection
Ranked candidates from every source VOD turn selection into a short review pass, freeing senior editors from the scrub-and-guess hour that starts every job.
Ten Caption Presets
Word-level burned-in captions with a fixed preset per client, so five editors produce one recognisable house style instead of five personal ones.
YOLOv8 Speaker Tracking
Automatic reframing keeps the talking subject centred in vertical crops, removing the most common quality failure in junior output.
Per-Post Variation
Distinct presets, trims and crops per render make variation a repeatable production step rather than a rule people forget when a deadline is close.
Discord Bot
Queue and collect clip jobs from Discord, where clipping teams already coordinate, so job intake does not need a separate process.
Frequently Asked Questions
Raise Output Without Raising Payroll
Feed OpenClip the source VOD and hand your team ranked, captioned, face-tracked renders instead of raw footage. The campaign pool is being raced right now.