What is Text-to-Video?
Text-to-video is an AI technology that generates video clips directly from written text prompts. A user describes a scene in natural language, and a generative model — typically a video diffusion model — produces a corresponding video, usually 4 to 15 seconds long. Leading text-to-video models in 2026 include OpenAI Sora 2, Google Veo 3.1, and Kuaishou Kling 3.
How It Works
Text-to-video systems rely on diffusion models trained on millions of video-text pairs. During training the model learns to associate language descriptions with visual motion, lighting, and composition. At inference time it starts from random noise and iteratively refines frames until they match the prompt.
The text prompt is first encoded into a latent representation by a language model (often a CLIP-style encoder or a large language model). This representation conditions the denoising process at every step, steering the output toward the described scene. Temporal attention layers ensure consistency between frames so the result looks like smooth video rather than a slideshow.
Modern architectures like DiT (Diffusion Transformers) have replaced older U-Net backbones in state-of-the-art models. These transformer-based architectures scale better with compute and produce higher-fidelity motion. Sora 2, for example, uses a spacetime-patch approach that treats video as a sequence of 3D patches, enabling native variable-duration and variable-resolution output.
Post-processing steps may include super-resolution upscaling, frame interpolation for smoother playback, and safety filtering. The final output is typically delivered as an MP4 file at 720p-1080p resolution.
Use Cases
- 1Social media content — Generate eye-catching video ads, Reels, and TikToks from a brief description without filming equipment or stock footage.
- 2Product visualization — Show a product in action (e.g., a sneaker rotating on a pedestal) before investing in a professional shoot.
- 3Storyboarding and pre-production — Directors and agencies use text-to-video to rapidly prototype scenes before committing to full production.
- 4Education and explainers — Create animated explanations of concepts (e.g., how photosynthesis works) without manual animation.
Text-to-Video on Kensa
Kensa provides text-to-video generation through Veo 3.1, Seedance 1.5 Pro and Grok Image Video, with Seedance 2.0 on its own generator page. Each model has different strengths — Veo 3.1 delivers 8-second clips with audio at a flat 13 credits, Seedance 2.0 makes longer clips with free native audio, and Grok Image Video is the cheapest per clip.
You type a prompt, select a model and aspect ratio (16:9, 9:16, 1:1), choose a duration (4-15 seconds depending on model), and click generate. Credits are frozen during generation and settled on completion. Visit the text-to-video tool to try it.
Related Terms
Frequently Asked Questions
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Can text-to-video replace professional videography?+
Try Text-to-Video on Kensa
Free credits with Google sign-up, no credit card required. Generate with Seedance 2.0, Veo 3.1, Kling 3 (under maintenance), and more.
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