01
Step 1
Gather the source video with its shot list, the subject framing of each shot, the target placement's aspect ratio and safe zones, and the positions of any on-screen text or hands that sit outside the vertical frame.
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Spark playbook scenarios · Spark: AI Store Assistant
Adapt a product video to a vertical composition
A landscape clip is moving to a vertical placement, and an automatic crop would cut away the detail that sells the product. In this case, the immediate task is to adapt a product video to a vertical composition. The workflow should produce an adaptation plan that keeps the key product detail in frame and names the shots needing manual attention.
Topic
Product Video Creation and Editing
Target keyword
convert product videos to vertical
Copyable AI prompt
A prompt you can drop directly into Spark
First replace every [bracketed] placeholder with real store scope and constraints, then add any actual records or data you have, and paste it into your preferred AI assistant or Spark agent. Spark will follow this page's workflow to produce structured output and verification steps.
ai-prompt.txt
Act as a Shopify operations specialist.
Help me adapt a product video to a vertical composition.
My store context is [describe the business, products and target audience].
My scope is [specify the affected products, pages, customers or reporting period]. Use these inputs: [the source video with shot list, per-shot subject framing, the target aspect ratio and safe zones, and positions of on-screen text and hands]. Recompose shot by shot so the key product detail stays inside the safe zone, choosing per shot between repositioning the crop, scaling, or marking the shot for manual reframing when the detail is too small.
Return an adaptation plan naming the frames needing manual attention for the specified task.
Show the relevant evidence or before-and-after examples and explain how I can verify the result.
If essential data is missing, ask for it and mark unsupported conclusions as unknown.
Do not invent metrics, product claims or customer facts.
For any publication, message, account or store change, use only connected tools within my explicitly authorized scope and report success only after verification; otherwise provide the draft or proposed steps.How to solve
A recommended resolution workflow
Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
02
Step 2
Recompose shot by shot so the key product detail stays inside the safe zone, choosing per shot between repositioning the crop, scaling, or marking the shot for manual reframing when the detail is too small.
03
Step 3
Deliver an adaptation plan naming each shot's method and the frames needing manual attention, then verify against the source that no shot loses its demonstrated attribute or on-screen text in the new composition.
FAQ
Common questions when running this scenario
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
When is automatic cropping acceptable?
Only for shots whose subject sits fully inside the vertical safe zone with no text or hands near the edges; every other shot is listed for repositioning or manual reframing, because a centred blind crop is what cuts away the selling detail.
What triggers a manual reframing decision?
A shot whose key detail occupies too small a share of the frame to survive scaling, so the vertical version would show an unidentifiable product; the plan names these shots explicitly instead of delivering a technically valid but useless crop.
How is the adapted version verified?
Each output shot is checked against the source to confirm the demonstrated attribute and any on-screen text remain visible inside the safe zone, and the manual-attention list must be empty of unhandled shots before delivery.
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