YouTube A/B tests skip Shorts: make two caption-style variants

YouTube's A/B tool does not cover Shorts. Re-burn one Short in a second caption style with source_caption_id, then publish both and compare by hand.

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Can you A/B test a Short on YouTube?

No. YouTube's help page on A/B testing titles and thumbnails says you cannot A/B test Shorts, scheduled lives or Premieres, and that once a video is transitioned to a Short you lose access to any tests created for it earlier. The same page describes a Short as a video under three minutes in a square or taller aspect ratio, so a re-cut that lands on either side of that line changes which tools you get.

If you want to know whether one caption look holds attention better than another on a Short, the built-in tool will not run the comparison for you. What you can do is produce the two versions cheaply and compare them yourself, knowing it is not a controlled test.

What the help page says

Only the statements below come from YouTube. Everything after this table is about Sume.

YouTube A/B testing and Shorts (read 2026-10-03)
TopicWhat the page says
ShortsYou are not able to A/B test them
Scheduled lives and PremieresAlso not testable
A video that becomes a ShortYou lose access to tests created before the change
How a Short is definedUnder three minutes, square or taller aspect ratio

Re-burn the same Short in a second style

Sume's video captions route takes a finished clip and burns captions on it. To restyle a video you already captioned, pass source_caption_id instead of video_url. Sume reuses that caption's source video and the word timings it already has, so no second speech-to-text pass runs. Billing is unchanged: the docs say a restyle is still a render.

The docs give a fixed estimate of $0.20 per accepted standalone caption job for videos up to 60 seconds, and tell you to confirm it in GET /v1/catalog. On that basis, two caption looks of one 45-second Short cost 2 x $0.20 = $0.40 in caption jobs. That figure leaves out whatever you spent generating or trimming the clip itself.

# first look: transcribes and burns
curl -X POST https://api.sume.com/v1/video-captions \
  -H "Authorization: Bearer $SUME_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: short-look-a" \
  -d '{"video_url": "https://media.sume.com/artifacts/artf_demo/short.mp4", "style": "slam"}'

# second look: reuses the first job's video and word timings
curl -X POST https://api.sume.com/v1/video-captions \
  -H "Authorization: Bearer $SUME_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: short-look-b" \
  -d '{"source_caption_id": "vc_123", "style": "punch"}'

Change one thing between the variants

A comparison only means something if the two Shorts differ in one respect. The Latin-script styles named in the docs are slam, punch and tiktok-green. The design field can override one colour, size or placement value on a style, but the docs say it is not supported on punch or tiktok-green, so a single-variable test on a colour is easiest with slam plus a changed design.colors.active.

Keep the wording identical. If you pass words alongside source_caption_id you change the copy, which is a second variable.

Example variant plans (the plans are suggestions, not Sume or YouTube figures)
PlanVariant AVariant BWhat differs
Style onlyslampunchThe look and motion
Emphasis colour onlyslamslam with design.colors.active changedOne colour
Placement onlyslamslam with design.placement.anchor_ratio changedLine height in the frame

Why this is not a real A/B test

Two uploads are two separate videos. They reach different viewers at different times, so a gap in views can come from the posting hour as easily as from the captions. Treat the numbers in YouTube Studio as a note for your next batch, not a verdict.

Also read the platform's guidance on near-duplicate uploads before you publish pairs of almost identical clips; the post on AI video variants and originality covers what the help pages say. For long-form videos, where the real tool does apply, see three cuts and thumbnails.

Sources

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