pass.01prompt state
Write the scene prompt
The AI text to video flow opens with a scene prompt where users describe the subject, camera motion, lighting, style, and intended channel.
Prompt briefRatio control
Text to Video Generator
Text to Video session
Build in video workflowGenerated video
node.02 / video seo
Start with a prompt, then shape the text to video result as a workflow node.
The text to video page is designed around a prompt-first generation step: describe the scene, choose duration, resolution, and aspect ratio, then generate a clip that can enter a broader production workflow. This keeps the page focused on AI text to video generation while still connecting the output to enhancement, copy, audio, and export nodes.
[ 03 / video-sequence ]
From demo loop to editable video state
pass.02settings state
Choose generation settings
Duration, 480p or 720p resolution, and aspect ratio controls keep the first text to video generator pass simple and production oriented.
Prompt briefRatio controlGeneration pass
pass.03workflow state
Continue with the clip
The generated video can become an editable AI video generator node for enhancement, captions, titles, audio, and export variants.
Prompt briefRatio controlGeneration passClip handoff
[ 04 / video-nodes ]
What the page teaches users and search engines
semantic coverage
The SEO block should describe the same workflow the user just saw above.
It names the focused tool, the video interaction model, and the downstream canvas nodes without turning the page into a generic feature list.
Generation nodes
set.01- Prompt to video
- Scene direction
- Camera motion
- Prompt refinement
Control nodes
set.02- Auto or 1-15 second duration
- 480p / 720p
- Landscape, portrait, square, and adaptive frames
- Prompt refinement
Next workflow nodes
set.03- Video enhancer
- Title generator
- Audio denoise
- Campaign export
This structure helps users and search engines understand that text to video is not an isolated upload box. It has a demo state, a selected-clip operation state, timeline context, frame previews, and a path into broader video workflow nodes.
[ 05 / clip-scenarios ]
Text to Video use cases
case.01
Product reveal
Write a compact product scene prompt and use a product video tool for ads, listings, or launch pages.
case.02
Creator opener
Turn a social concept into a vertical opening shot with an AI video generator, then move it into captions, hooks, and trim variants.
case.03
Launch campaign
Generate campaign motion from a scene brief before enhancing, titling, and preparing channel exports.
case.04
Social story
Create a short mood-driven clip from words with a short clip maker, then keep it ready for audio, titles, and aspect-ratio variants.
[ 06 / workflow role ]![Product reveal workflow role preview]()
![Creator opener workflow role preview]()
![Launch campaign workflow role preview]()
![Social story workflow role preview]()
One video task page, one path back to the full canvas.
The page can rank for focused video AI searches, but the product story stays consistent: text to video is the entry point, and the Linocut AI canvas is where the clip keeps moving.
Keep motion editable
bridge.01A repaired or enhanced clip should remain useful for follow-up video nodes, not become a dead-end export.
Package channel variants
bridge.02Use the same cleaned source for 9:16 shorts, 1:1 ads, 16:9 demos, captions, and product pages.
Connect Image, Audio, and Text
bridge.03Video work often needs thumbnails, voice cleanup, transcripts, hooks, titles, and SEO copy in the same workspace.
[ 07 / faq ]
Text to Video FAQ
Yes. This AI text to video page is designed as a focused prompt-to-video flow: write a scene, choose simple generation settings, generate a clip, and keep the result connected to the broader video workflow.
Describe the subject, setting, camera movement, lighting, mood, style, and intended format. Short production prompts usually work better than vague requests in a text to video generator.
Yes. Text to video is treated as an AI video generator node, so the result can continue into video enhancement, titles, captions, audio, trimming, and export variants.
No. Social clips are a natural fit, but the same workflow can support product reveals, launch teasers, mood films, ad concepts, and creative direction tests.
Use Auto when you want the model to choose the length. Pick 1-5 seconds for hooks and product reveals, or a longer duration when the scene needs more motion or a slower camera move.
Use 480p for fast concept checks and 720p for sharper drafts before the result moves into enhancement, titles, audio, or export.
Choose a landscape frame for demos and product pages, a portrait frame for vertical social clips, a square frame for feed assets, or adaptive when the model should choose the frame.
Yes. Product teams can use the product video tool to describe packaging, surfaces, lighting, camera motion, and launch context for testing creative direction.
Yes. The generated clip can move into video enhancer, title generator, audio denoise, captions, trimming, or campaign export steps.
No. AI text to video starts from a written scene brief, so you can explore motion ideas before filming, designing, or gathering source assets.
Be specific about the subject, environment, camera move, lighting, material details, mood, and target channel. Avoid stacking too many unrelated ideas in one prompt.
Use generated clips only when your prompt, references, brand assets, and distribution rights are appropriate for the intended project or license.
[ 08 / adjacent-nodes ]
Continue the video workflow
[ 09 / next-step ]
Run text to video in the workspace.
Start with one direct task, then keep editing, generating, writing, and shipping from the same Linocut AI canvas.