711
Dictionary

AI Video Generation

Creating video clips from a text prompt or a reference image with a generative model, instead of filming footage.

2 min readupdated 2026-11-04

/ quick answer

AI video generation (text-to-video or image-to-video) uses diffusion-style models such as Google Veo, OpenAI Sora, Runway, Kling or Luma to synthesise short clips, usually 5–10 seconds each. Creators chain several clips, then add voice, music and captions in an editor. Results depend heavily on prompt detail: subject, action, camera movement, lighting and style.

Creating video clips from a text prompt or a reference image with a generative model, instead of filming footage. AI video generation (text-to-video or image-to-video) uses diffusion-style models such as Google Veo, OpenAI Sora, Runway, Kling or Luma to synthesise short clips, usually 5–10 seconds each. Creators chain several clips, then add voice, music and captions in an editor. Results depend heavily on prompt detail: subject, action, camera movement, lighting and style. In practice: A travel page generates five 8-second drone-style shots of a coastline, cuts them to music in CapCut and posts the result as a Reel.
Definition
AI video generation (text-to-video or image-to-video) uses diffusion-style models such as Google Veo, OpenAI Sora, Runway, Kling or Luma to synthesise short clips, usually 5–10 seconds each. Creators chain several clips, then add voice, music and captions in an editor. Results depend heavily on prompt detail: subject, action, camera movement, lighting and style.
Example
A travel page generates five 8-second drone-style shots of a coastline, cuts them to music in CapCut and posts the result as a Reel.
Related Workflows
Related Prompts

/ frequently asked

What is AI Video Generation?

AI video generation (text-to-video or image-to-video) uses diffusion-style models such as Google Veo, OpenAI Sora, Runway, Kling or Luma to synthesise short clips, usually 5–10 seconds each. Creators chain several clips, then add voice, music and captions in an editor. Results depend heavily on prompt detail: subject, action, camera movement, lighting and style.

What is an example of AI Video Generation?

A travel page generates five 8-second drone-style shots of a coastline, cuts them to music in CapCut and posts the result as a Reel.

Why does AI Video Generation matter?

Creating video clips from a text prompt or a reference image with a generative model, instead of filming footage.

What should I learn after AI Video Generation?

Open the related workflows and prompts further down this page: they show how this idea is applied in a real task, step by step.

/ continue exploring

Related concepts

The vocabulary this page depends on.

  • →Faceless Video

    Social content where the creator never appears on camera — built from voiceover, stock or AI visuals, screen recordings and captions.

  • →AI Avatar Video

    A video where a digital presenter — a stock avatar or a clone of you — speaks a script with synced lips and gestures.

  • →Video Repurposing

    Turning one long video — podcast, webinar, stream — into many short vertical clips for TikTok, Reels and Shorts.

  • →Video Hook

    The first 1–3 seconds of a short video, designed to stop the scroll and make the viewer stay.

all dictionary →

Related workflows

Turn this into a repeatable process.

all workflows →

Related tool stacks

The tools that run it in production.

all tool stacks →

Related prompts

Reusable prompts for this job.

all prompts →

Related use cases

How people apply it, and what came out.

all use cases →

Comparisons & alternatives

Pick between the options.

all comparisons →