Who should use the Text-to-Video workflow?
Teams or solo builders working on creativity tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
3-step pipeline — follow each step in order
1Setup · Step 1 of 3
Open task pageCore Generation: Text-to-Video
Use a text-to-video AI tool to create a primary video from a written script or prompt. This step converts your text into a visual narrative with generated scenes and characters.
Why this matters
The core generation defines the content and style of the final video, so prompt quality and tool selection directly impact output.
What you get
An initial video is produced from text, ready for refinement.
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2Input · Step 2 of 3
Open task pageRefinement: Edit via Transcription
Refine the generated video by editing its text transcription to adjust timing, fix errors, or improve narrative flow without re-rendering the entire video.
Why this matters
Editing via transcription allows precise control over video segments, saving time and maintaining consistency.
What you get
Video narrative is polished, timing adjusted, and errors corrected.
3Deliver · Step 3 of 3
Open task pageFinalization: Add Captions
Add synchronized captions or subtitles to the video using AI tools that automatically generate and overlay text for accessibility and engagement.
Why this matters
Captions improve accessibility, reach a wider audience, and increase viewer engagement and retention.
What you get
Final video includes accurate, styled captions ready for distribution.
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