AI Tools Hub
How-to· 8 min

Ten shorts from one webinar — what automates and what does not

Turning one webinar into ten vertical shorts splits into steps a tool can do and steps a person has to. Extraction and reframing automate; caption correction and the decision to publish do not. Prices checked November 2026.

AI Tools Hub Editorial · published · updated

The whole pipeline

StepWhat happensWho
1. IngestUpload the long video or pull it from a URLAutomatic
2. ExtractionCandidate clips from topic breaks and energyAutomatic
3. Reframe16:9 to 9:16, tracking the speakerAutomatic
4. CaptionsTranscribe and burn inAutomatic (needs correction)
5. Caption fixesProper nouns, numbers, company namesHuman only
6. SelectionDecide which candidates to publishHuman only
7. PublishingPost or schedule to each platformSemi-automatic
Separating steps 4 and 5 is the point. Captions generate; they do not arrive publishable.

Pricing

  • Free: $0, one post per day, local uploads up to 10GB
  • Starter: $15/mo, ingest from YouTube, Google Drive and Vimeo
  • Pro: $29/mo, up to 30GB per file, ingest from public mp4 URLs
  • Business: contact sales, team collaboration and API

One post a day makes the free plan unsuitable for a publishing schedule. If the source webinars are already on YouTube, Starter's URL ingest is the least-effort starting point.

Do not over-trust the automatic selection

The 'highlights' are inferred from volume changes, speaking rate, laughter and topic shifts. In a lot of recorded talks the important conclusion is delivered calmly, in a flat tone, producing none of those signals. The result is that small talk and jokes rank highly.

The fix is to specify timestamps by hand. Not instead of the automatic candidates — alongside them. Plan for ten automatic candidates yielding two or three usable clips, with the rest specified manually. Treating it as fully automatic means publishing weak clips indefinitely.

Four things to fix in every caption pass

  • Company and product names — spelling drifts, especially across scripts
  • Numbers and units — spoken amounts do not always become figures
  • Jargon — industry abbreviations almost never survive
  • Line breaks — a line broken mid-phrase is unreadable; break at punctuation

The last matters most in vertical video. The frame is narrow, so few characters fit per line, and automatic breaks rarely land on a sense boundary. Breaking at phrase boundaries changes readability more than any other caption edit.

Selection criteria

Publishing every candidate drags the account's quality down. Publish only clips that meet all of these.

  • The subject is clear within two seconds — cut anything that opens with preamble
  • The clip stands alone without the surrounding context
  • Every caption error has been corrected
  • The speaker or the slide is actually in frame — check the reframe did not fail

How many clips an hour of video really yields

From a sixty-minute webinar, three to five clips meet those criteria in practice. Ten candidates will include more than half that lack the context to stand alone. Budgeting editing time on the 'ten clips from one video' promise will leave you short.

The yield improves if you change how the source is recorded. Decide during the talk which topics are for clipping and deliver those as self-contained minutes. Designing for clips at recording time beats editing for them afterwards.

Frequently asked questions

How accurate are non-English captions?

Assume proper nouns and numbers need correcting. Ordinary speech is usable; company names, product names and jargon need fixing every time. Put that correction time in the estimate.

Can we clip video we do not own?

Only video you hold the rights to, or have permission for. Clipping and posting someone else's video can be an infringement.

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