How to use Sora: the flagship AI video generation model launched by OpenAI

Sora is a tool focusing on AI video scenarios. Sora is the flagship AI video generation model launched by OpenAI. Sora 2 supports audio and video synchronization, real physics and Cameo image implantation. This article is based on the official product documentation to sort out its capabilities and suitable usage methods.

Market signals

• Sora became a phenomenon when the research preview was released in February 2024, and was widely reported by media such as Time, The New York Times, and Bloomberg.
• After its public release in 2024-12, Sora triggered a wave of copycats by a large number of creators on X, TikTok and other platforms, indirectly promoting the growth of ChatGPT Pro subscriptions.
• Sora 2 and Sora App will once again ignite discussions in 2025 and are regarded as early attempts at the "AI native short video community".
• At the same time, it triggered industry policy discussions on deepfakes, portrait rights, copyrights and watermarks. OpenAI simultaneously introduced visible watermarks and C2PA metadata.

Product capabilities

• Text to Video: Generate videos of up to approximately 25 seconds based on natural language prompts.
• Image to video: Use a static image as a starting point and make it move.
• Video expansion and mixing: expand forward/backward based on an existing video or mix it with another video.
• Audio and video synchronization: Automatically generate ambient sounds, mouth shapes, dialogue and sound effects that are synchronized with the picture.
• Physics simulation: Physical processes such as mechanics, collisions, and fluids are more credible, including "failure" scenarios.
• Multi-camera narrative: Maintain the consistency of characters, costumes, and props across shots.

Judgment in one sentence: If your workflow is indeed stuck in the above links, Sora is worth putting on the candidate list for small-scale verification first; otherwise, there is no need to introduce it for functionality.