Sora

Sora is an artificial intelligence model developed by OpenAI that generates video from text. Announced in February 2024, the model represents a significant leap in visual production technology by transforming natural language prompts from users into high-resolution and realistic videos.

History and Development Process

Sora is built upon OpenAI’s earlier large AI models such as ChatGPT, DALL·E, and Codex. It is among the first generative models capable of interpreting natural language for audiovisual production and performing multi-step video generation. The introduction of Sora is viewed as an extension of the “AIGC” (AI-generated content) revolution that began after the release of ChatGPT in November 2022.

Technical Architecture

Sora is based on a structure called a diffusion transformer. This architecture consists of three main components:

1. Space-time compressor, which transforms video into a latent (compressed) space.
2. Visual Transformer (ViT), which processes these representations.
3. CLIP-like conditioning system, which directs generation by processing text prompts supported by GPT-4.

The model can process images of varying resolutions and aspect ratios in their original formats, enabling production from vertical videos such as 1080x1920 to wide cinematic formats.

Application Areas

Sora’s potential applications are broad:

• Education: Teachers can create content based on text prompts, such as scientific simulations or dramatizations of historical events.
• Media and Film: Filmmakers can rapidly convert text-based scripts into prototypes; content creators can produce productions ranging from short stories to animations.
• Healthcare: It can be used in training for eye diseases, explaining surgical procedures, and patient education.
• Robotics: Sora can be used to train robotic systems that respond to visual commands.
• Marketing and Advertising: It can effectively generate text-based product demonstrations and customized advertising videos.

Visual generated by the Sora AI (Sora)

Strengths

• Realism: Sora can highly emulate physical consistency within scenes and create a sense of 3D depth.
• Duration: Sora can generate videos up to one minute long while maintaining scene coherence. This duration represents a significant advancement compared to previous models.
• Multiple Characters and Scenes: It can handle complex scene compositions and multiple characters with high detail.
• Prompt Engineering: It supports sophisticated command systems that can be directed through text, images, or video inputs.

Limits and Risks

Sora has certain technical and ethical limitations:

• Physical inconsistencies: For example, a bite mark on a cookie may not appear in a subsequent scene after being bitten.
• Space-time distortions: Character directions may be confused or unnecessary objects may be added.
• User experience: Fine-grained control over complex scenes remains challenging.
• Security: There is a risk of generating misleading content, deepfakes, or scenes depicting violence and hate. OpenAI is developing advanced moderation systems to prevent such content.

Deployment and Access

OpenAI initially released Sora only to a limited group of experts, including filmmakers, artists, and designers. As of 2025, a faster version called “Sora Turbo” has been made available to the general public in some countries. However, access remains restricted in regions such as the European Economic Area and the United Kingdom due to regulatory concerns.

Competitors and Global Developments

Following the announcement of Sora, the Chinese company Kuaishou Technology introduced a similar model called Kling AI. This competition indicates the beginning of a global race in the field of text-to-video generation.