Try now: Text-to-Video | Image-to-Video

What Is Sora 2

Sora 2 is a next-generation generative video model that brings “world modeling” to more realistic and controllable long-form video creation. Compared with early video models, Sora 2 emphasizes causal consistency and physical plausibility across objects, characters, camera motion, and scenes—so complex cinematography and storytelling feel more natural.

Key takeaways:

Multimodal creation: text-to-video, image-to-video, video extension and editing
Long-form consistency: characters/props/lighting/space remain coherent over time
Closer to physics: motion, occlusion, reflections, materials, cloth/fluids behave intuitively
More controllable: camera moves, mood, composition, and pacing respond more reliably to prompts
Production-friendly: smoother handoff from storyboards/previz to final shots, cutting iteration cost

Get started: Text-to-Video | Image-to-Video.

What It Can Do

Text-to-video: describe the shot, subject, and style in one sentence to generate coherent HD sequences
Try it: Start Text-to-Video
Image-to-video: upload a single image and “bring it to life,” supporting push-ins, framing changes, and lighting shifts
Try it: Make Video from Image
Video continuation & editing: extend, stylize, and re-stage existing videos
Complex cinematography: dolly/zoom/pan/tilt/follow shots and scale changes feel natural
Narrative consistency: character, wardrobe, props, and spatial relations stay continuous across shots

Advantages Over Previous Models

Stability at longer durations and higher resolutions—even in complex scenes, with multiple subjects and fast motion
World-modeling perspective: stronger grasp of scene–object–action–causality relationships
Controllability: prompts influence camera movement, composition, and tone with less randomness
Workflow compatibility: fits storyboards → previz → finishing pipelines, reducing trial-and-error

Experience these improvements: Text-to-Video | Image-to-Video

On‑Site Demos (Real Examples)

These demos come from our landing page. They showcase motion handling and consistency:

Watch for: natural parallax between subject and background; smooth transitions

Watch for: stable lighting changes and surface reflections; fewer “popping” details

Want to try it yourself? Text-to-Video | Image-to-Video

Prompt‑Writing Tips

We recommend the structure “Scene + Subject + Camera + Action + Texture + Lighting + Style + Pacing/Duration”.

Example 1 (Text-to-Video)

A rainy city at night, puddle reflections on the street; main subject is a woman in a trench coat walking right-to-left; handheld, 35mm look, shallow DoF, neon reflections, slow push-in; realistic style, cinematic grading.

Example 2 (Image-to-Video)

Based on the uploaded image, start from a medium shot and gradually push to a close-up; keep the subject sharp while the background gains slight dynamic bokeh; cool tone, clean commercial look, end on a still frame.

Pro tips:

Specify framing (WS/MS/CU) and camera moves (dolly/zoom/pan/tilt/follow)
Declare lighting (back/side/top/ambient) and texture (film/photoreal/illustration)
Set pacing (slow/fast/steady), avoid contradictory adjectives
For image-to-video, prioritize a high-res subject image; use text to define camera and actions, not to stack adjectives

Use Cases

Ads/shorts: iterate storyboards and finals quickly, cut location and shoot costs
E‑commerce/product: “animate” static posters into short videos to boost conversion
Education/explainers: visualize abstract concepts with short scenes or animated diagrams
Games/film previz: rapid concept reels to validate shots
Social content: high‑frequency creation with consistent style and lower production barrier