Who should use the Live Captioning workflow?
Teams or solo builders working on business tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
4-step pipeline — follow each step in order
1Setup · Step 1 of 4
Open task pageLive Multilingual Captioning
Prepare inputs and settings through Live Multilingual Captioning before running live captioning.
Why this matters
Live Multilingual Captioning sets up the foundation for live 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.
2Core · Step 2 of 4
Open task pageLive Captioning
Execute live captioning with Live Captioning to produce the primary video output.
Why this matters
This is the core step where live 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.
More options
3Refine · Step 3 of 4
Open task pageClosed Captioning
Refine and validate live captioning output using Closed Captioning before final delivery.
Why this matters
Closed Captioning 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.
4Deliver · Step 4 of 4
Open task pageLive Polling
Package and ship the output through Live Polling so live captioning reaches end users.
Why this matters
Live Polling 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.