Sora 2 is a short-form video generation app and model developed by OpenAI that produces photorealistic or stylized video clips from plain-text prompts or source images. Compared with the first generation, Sora 2 emphasizes improved physical realism, higher resolution outputs, and an integrated audio track that the model generates to match on-screen events — reducing the need for separate post-production sound work. The system also supports image-to-video and remix workflows that let users extend or alter existing clips.

The product blends model capabilities with a social app layer: users can create reusable “cameo” characters (people, pets, toys, or illustrations) that can be inserted into new videos, share or publish clips to leaderboards or feeds, and stitch multiple generated clips together into longer sequences. The interface is available through the web and mobile apps, with platform-region rollouts and occasional invite gating depending on demand and capacity. Sora 2 includes safeguards such as visible watermarks and content controls, while its training and data-sourcing practices have been the subject of copyright and policy scrutiny in some jurisdictions.

Typical use cases include rapid prototyping of short creative videos for social media, marketing clips, concept visuals for filmmakers, personalized cameo-driven content, and exploratory research into generative video workflows. The audience ranges from casual social-media creators and influencers to marketers, indie filmmakers, and early-stage developers experimenting with video generation. While accessible to non-technical users through the app, developers and power users may integrate Sora‑generated media into other pipelines via limited or third‑party API integrations where available.