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Multimodal
Text-to-Video AI
Definition
Text-to-video AI generates video clips from text descriptions, with models like Sora, Runway, and Kling creating motion content that previously required expensive production.
Why It Matters
Video production is expensive and time-consuming. Text-to-video AI enables rapid creation of video content for marketing, education, prototyping, and entertainment. While not yet replacing professional production, it’s becoming practical for short-form content, B-roll, and conceptual work.
Key Models
- Sora (OpenAI): Highly anticipated, long-form capability
- Veo 3 (Google): Google’s latest video generation
- Runway Gen-4: Pioneer in AI video, fast iterations
- Pika: User-friendly, good for social content
- Kling: Cost-effective option from Kuaishou
- Luma Dream Machine: 3D-aware video generation
Current Capabilities
- 5-60 second clips depending on model
- Reasonable physics and motion consistency
- Good for abstract/creative content
- Improving photorealism rapidly
Limitations
- Temporal consistency still challenging
- Complex actions may glitch
- Human motion can look unnatural
- High compute costs for long videos
- Not yet suitable for narrative storytelling