Who should use the Auto-Captioning 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 pageLive Auto-Captioning
Prepare inputs and settings through Live Auto-Captioning before running auto-captioning.
Why this matters
Live Auto-Captioning sets up the foundation for auto-captioning; 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 auto-captioning quality.
Why this matters
Generate video captions strengthens auto-captioning 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 live captions
Use Generate live captions to build supporting assets that improve auto-captioning quality.
Why this matters
Generate live captions strengthens auto-captioning by feeding better supporting material into the pipeline.
What you get
Supporting assets from generate live captions are prepared and connected to the main workflow.
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4Core · Step 4 of 7
Open task pageAuto-Captioning
Execute auto-captioning with Auto-Captioning to produce the primary video output.
Why this matters
This is the core step where auto-captioning 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 pageGenerate real-time captions
Refine and validate auto-captioning output using Generate real-time captions before final delivery.
Why this matters
Generate real-time captions 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 captions
Refine and validate auto-captioning output using Generate captions before final delivery.
Why this matters
Generate captions 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 pageMultilingual Media Captioning
Package and ship the output through Multilingual Media Captioning so auto-captioning reaches end users.
Why this matters
Multilingual Media Captioning 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.