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About this tool
Turn one long video into a counted set of shorts, carousels, threads and posts, with production hours and a publishing calendar.
Content Repurposing Matrix converts one long video into a counted production plan: every output channel derives its asset count from a fixed rule — one per video, or one per N key moments up to a cap — and each asset carries a minute estimate that adds up to total production hours. It then spreads the finished assets across a publishing calendar at the cadence you set, spacing them evenly inside each week from a start date you choose.
Open Content Repurposing Matrix on AltFTool — it loads instantly in your browser.
Add your input to the workspace.
Adjust the options until the result looks right.
Copy or download the output and put it to work.
Each channel derives assets from a stated rule and a cap, so the numbers are reproducible rather than guessed.
Total production time is shown up front, with a multiplier to match your own editing pace.
Assets are spaced across weeks from your start date, ready to paste into a scheduler.
With six well-chosen key moments and nine output channels, this plan produces about 20 assets — six vertical clips, two carousels, three quote graphics, plus a thread, a blog article and a newsletter. The limiting factor is almost never the footage; it is the roughly 8-9 hours of production the set costs.
A self-contained 30-90 second stretch that makes one point and still makes sense with nothing before it. A 40-minute video usually holds five to eight, not twenty — under about 1.5 minutes of source per moment, the clips start losing context.
Cross-posting the same 9:16 clip to Shorts, Reels and TikTok is normal and costs almost nothing extra once it is cut. What does not transfer is format: a carousel is not a clip, and a thread is not a caption, so those are counted as separate assets here.
Spread them so the same idea does not appear twice in a day on the same feed. At four assets a week the calendar here places them every other day; drop the cadence rather than the quality if the backlog gets long.