What is Text-to-video?

AI that generates video clips from text prompts or images. A fast-moving category led by tools like Runway, Kling and Sora.

Text-to-video AI generates short video clips from a written prompt, and often from a still image or an existing clip as a starting point. Under the hood, most systems extend diffusion techniques from image generation into the time dimension, so the model has to keep objects, lighting, and motion consistent across frames. That temporal consistency is the hard part, and it is where models differ most. Typical outputs today run from a few seconds to around a minute, with controls for camera movement, aspect ratio, and style. Common workflows include animating a product photo, generating b-roll, and creating concept shots for ads. Generation is slower and more expensive than image generation, results can be unpredictable, and physics or hands can still break, so expect to generate several takes and pick the best.

Example

A small brand uploads a product photo to Runway, prompts "slow camera push-in, steam rising from the mug, warm cafe background", and gets a 5-second clip to use in an Instagram ad.

Why it matters

Video tools vary a lot in clip length, motion quality, cost per generation, and licensing. If you are choosing one, test it on your actual use case (product shots, b-roll, character scenes) rather than relying on demo reels. Browse the AI tools directory or the model leaderboard to put it into practice.