Text-to-Video Techniques

AI technology that generates video clips from written text descriptions (prompts).

Text-to-video is an AI capability that creates video content from natural language descriptions. You write what you want to see, and the AI generates a video clip matching your description.

How It Works

Modern text-to-video models (like Runway Gen-4.5, Kling 3.0, and Google Veo) use transformer architectures trained on massive video datasets. They learn to:

  1. Understand text descriptions
  2. Generate coherent motion across frames
  3. Maintain consistency throughout the clip
  4. Apply physics and lighting realistically
  • Sora - OpenAI’s video model (discontinued in 2026; see alternatives)
  • Runway Gen-4.5 - Professional-grade generation
  • Kling AI - Excellent human rendering
  • Pika Labs - Fast stylized content

Typical Limitations

  • Clip length (4-20 seconds)
  • Complex physics may break
  • Hands and text remain challenging
  • High compute requirements
Related terms: prompt diffusion-model image-to-video