Who should use the Automated Video Clipping workflow?
Teams or solo builders working on creativity tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
7-step pipeline — follow each step in order
1Setup · Step 1 of 7
Open task pageAI Video Clipping
Prepare inputs and settings through AI Video Clipping before running automated video clipping.
Why this matters
AI Video Clipping sets up the foundation for automated video clipping; clean inputs here reduce downstream rework.
What you get
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
2Input · Step 2 of 7
Open task pageGenerate video captions
Use Generate video captions to build supporting assets that improve automated video clipping quality.
Why this matters
Generate video captions strengthens automated video clipping by feeding better supporting material into the pipeline.
What you get
Supporting assets from generate video captions are prepared and connected to the main workflow.
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3Input · Step 3 of 7
Open task pageGenerate AI videos
Use Generate AI videos to build supporting assets that improve automated video clipping quality.
Why this matters
Generate AI videos strengthens automated video clipping by feeding better supporting material into the pipeline.
What you get
Supporting assets from generate ai videos are prepared and connected to the main workflow.
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4Core · Step 4 of 7
Open task pageAutomated Video Clipping
Execute automated video clipping with Automated Video Clipping to produce the primary video output.
Why this matters
This is the core step where automated video clipping actually happens, so it determines baseline quality for everything after it.
What you get
A first-pass video output is generated and ready for refinement in the next steps.
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5Refine · Step 5 of 7
Open task pageText-to-Video
Refine and validate automated video clipping output using Text-to-Video before final delivery.
Why this matters
Text-to-Video adds quality control so issues are caught before the workflow is finalized.
What you get
The video output is improved, validated, and prepared for final delivery.
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6Refine · Step 6 of 7
Open task pageGenerate automated reports
Refine and validate automated video clipping output using Generate automated reports before final delivery.
Why this matters
Generate automated reports adds quality control so issues are caught before the workflow is finalized.
What you get
The video output is improved, validated, and prepared for final delivery.
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7Deliver · Step 7 of 7
Open task pageGenerate personalized videos
Package and ship the output through Generate personalized videos so automated video clipping reaches end users.
Why this matters
Generate personalized videos is what turns intermediate output into a usable, publishable result for real users.
What you get
A finalized video output is ready for publishing, handoff, or integration.
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