Video Prompt Generator for Sora 2
AI Video Prompt Generator
Describe your idea. We’ll expand it into a structured Sora 2 prompt with composition, motion, lighting, and mood.
"a dog running on a beach" →
A cinematic tracking shot of a golden retriever sprinting along a sunlit coastline; soft morning light, 50 mm lens, shallow depth-of-field; gentle ocean spray; slow motion.
AI Prompting Techniques
Learn how to refine AI video prompts for Sora 2 using clear composition and descriptive structure.
Structured Prompt Design
- Define the subject and motion first.
- Include camera angle and lighting details for realism.
- Refine language to match cinematic or documentary tone.
For foundational concepts, see the Wikipedia article on Prompt Engineering.
Go to GeneratorSora Prompting Best Practices
Sora 2 prompting improves text-to-video accuracy. Optimize composition, mood, and movement for visual continuity.
Practical Advice
- Be explicit with motion verbs (tracking, panning, dolly).
- Describe mood lighting and ambient detail.
- Always specify aspect ratio and exclusions.
Learn more about cinematographic terminology at Wikipedia: Cinematography.
Text-to-Video Optimization
Optimize your text-to-video prompts to achieve consistent storytelling, tone, and motion output in Sora 2.
Core Elements
- Scene context and subject clarity.
- Lighting realism and continuity.
- Camera logic matching physical cinematography.
Explore the evolution of AI video generation in OpenAI's official Sora announcement.
Prompt Engineering Insights
Explore prompt engineering patterns that enhance LLM-driven AI video generation consistency and detail.
Reusable Prompt Modules
- Establish prompt templates for lighting, camera motion, and narrative tone.
- Reuse tested phrasing for genre accuracy.
For advanced techniques, read OpenAI Prompt Engineering Guide.
Learn MoreAI Prompting
AI prompting is the craft of writing clear inputs that steer a large language model (LLM) toward useful, creative, and reliable output.
How it maps to video
See Wikipedia: Natural Language Processing for the underlying technology.
Prompt Engineering
Prompt engineering turns creative goals into structured instructions. It’s how an AI prompt engineer translates ideas into predictable outputs—text, image, or video.
Tips for better control
- Be specific (scene, action, camera).
- State exclusions (e.g.,
no text overlays). - Iterate, then refine tone and pacing.
Learn from the original research: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (NeurIPS 2022).
AI Video Prompt Samples
Cinematic cityscape at twilight; neon reflections; atmospheric fog; wide angle; ultra-detailed; --ar 16:9River through lush forest; soft mist; birds mid-flight; vivid colors; cinematic; --ar 16:9Neon data streams; morphing geometry; particle trails; vibrant; motion blur; --ar 16:9
For more examples, visit OpenAI Sora Showcase.
Sora 2 • Prompting Basics
This tool outputs optimized text prompts for Sora 2. It does not generate videos; paste the prompt into your Sora app or workflow.
Best-Practice Prompt Elements
- Scene: place, time, weather, texture.
- Subject/Action: who/what + behavior.
- Camera: lens, shot, movement.
- Lighting: key, fill, color, mood.
- Audio (optional): ambience / sfx if applicable.
- Exclusions: e.g., no text overlays; avoid Dutch angles.
Official documentation: OpenAI: Video Generation Models as World Simulators.
Structured Prompting
Use simple structure for repeatable results. Example key-value inputs:
{
"scene": "neon alley at night, light drizzle",
"subject": "courier adjusts helmet, breath visible",
"camera": "35mm, subtle dolly-in, shallow DOF",
"lighting": "practical neons as key; cool rim",
"exclude": ["text overlays", "dutch angles"]
}
This format aligns with JSON standards and can be parsed programmatically.
FAQ
Does this generate video?
No. It generates text prompts optimized for Sora 2. Paste them into your Sora workflow.
Can I use negative prompts?
Sora 2 doesn’t expose separate negative prompts; write exclusions explicitly in text, e.g., no text overlays.
Aspect ratio?
We default to --ar 16:9, but you can change this to match your target output.
What is Sora 2?
Sora 2 is OpenAI’s advanced text-to-video model. See OpenAI Sora for official details.
Changelog
- v1.1 – Standalone build
- v1.0 – Initial style generator, samples, and guides.
High-Trust Resources & Further Reading
Deepen your knowledge with authoritative sources on AI, video generation, and prompt engineering.
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Official OpenAI Resources
- Sora – OpenAI – Official model page and examples
- OpenAI Prompt Engineering Guide
- Sora Research Paper
- Academic & Technical
- Cinematography & Visual Storytelling