Create action that obeys the scene
Last verified: July 24, 2026
More accurate physical behavior paired with synchronized dialogue and sound effects is the signature advance of OpenAI's second-generation Sora model, released September 30, 2025. OpenAI positioned it as a flagship video-and-audio generator and introduced it as the engine behind the Sora app.
Compared with the original generation, it is documented as more realistic, more steerable, and broader in visual style. Its world-simulation focus is especially relevant to scenes where weight, impact, balance, rebound, water, and object permanence need to remain coherent while the camera and soundtrack follow the same event.
The model is still imperfect, so generated footage should be reviewed for continuity, unintended artifacts, and timing. On this page, creation can begin from a written scene or a still image.
Explore Sora AI's Models
Video controls and model limits
Unmarked values are selectable here; “from the Sora lab notes” flags creator-documented behavior rather than a visible page control.
Creation paths
Text-to-video and image-to-video
Clip timing
4, 8, 12, 16, or 20 seconds
Frame shapes
9:16 and 16:9
Starting image
JPG, JPEG, PNG, or WEBP; maximum 10 MB
Prompt space
Up to 2,048 characters
Audiovisual output
Synchronized audio — from the Sora lab notes
Prepare the scene before generating
Check the start state, scene load, timing, composition, and sound intent before committing to a render.
Choose the correct starting mode
Use text-to-video when every visual element should be invented; use image-to-video when the opening composition or subject appearance already exists.
Validate the starting still
Confirm that the image uses an accepted format, stays within the upload limit, and has enough clarity for the motion you want to introduce.
Set the canvas before blocking action
Choose portrait or landscape first, then place subjects and movement paths so important action does not collide with the frame edges.
Fit one complete beat to the duration
Map the setup, action, and consequence to the selected clip length instead of forcing several unrelated events into one generation.
Describe physical and audio causality
State what creates each impact, rebound, splash, or mechanical response, then specify the dialogue, ambience, or effect that should accompany it.
Audit the prompt helper
Use the helper after defining the core scene, then remove any added subjects, camera changes, or actions that weaken the intended sequence.
Sora 2 vs Kling 3.0 Turbo: choose by scene goal
The Sora column reflects what this page actually delivers. Any broader OpenAI allowance would be labeled “OpenAI-side headroom,” while the competitor column uses its exact official variant documentation.
| Feature/Spec | Sora 2 | Kling 3.0 Turbo |
|---|---|---|
| Ways to start | Text-to-video, or image-to-video with one JPG, JPEG, PNG, or WEBP file up to 10 MB | Text-to-video and image-to-video |
| Selectable clip duration | 4, 8, 12, 16, or 20 seconds | 3 to 15 seconds |
| Output framing | 9:16 or 16:9 | 16:9, 1:1, or 9:16 |
| Official optimization focus | More accurate physics, sharper realism, enhanced steerability, and synchronized audio | Reduced end-to-end latency, precise audiovisual sync, and consistent high-volume output |
| One workspace for physics or turbo iteration | Usable directly on Vidofy.ai for text-to-video and image-to-video | Also usable directly on Vidofy.ai in the same model workspace |
Decide by physical stakes and iteration speed
Plan around cause and consequence
The OpenAI model is the more differentiated choice when a scene depends on believable weight, rebound, buoyancy, or failed actions producing visible consequences. The Turbo alternative's official positioning centers on lower latency and dependable high-volume generation rather than an equivalent physics claim.
Match the canvas to distribution
This page is built for portrait and landscape deliverables, with longer selectable single-clip options that can carry a fuller story beat. The Kuaishou variant also exposes a square frame and a flexible short-form range, which can suit teams producing many platform-shaped tests from one concept.
Choose by physical stakes or iteration volume
Use this quick guidance to pick the best option for your workflow.
When to choose each: Choose Sora 2 for action, dialogue, or product motion where believable consequence and audiovisual timing carry the idea. Choose Kling 3.0 Turbo when reduced latency, square delivery, and rapid high-volume testing are the stronger production priorities.
Move from scene brief to generated clip
Four steps take you from a text idea or still image to a reviewed video draft.
Step 1: Choose the starting mode
Select text-to-video to build the scene from scratch, or image-to-video to establish the opening subject and composition.
Step 2: Write the scene logic
Define the subject, action, environment, camera path, and sound intent. Use the AI prompt helper when you want assistance expanding the brief.
Step 3: Set frame and timing
Choose the aspect ratio and clip duration that fit the destination, then confirm the planned action can finish within that timing.
Step 4: Generate, inspect, and refine
Review motion continuity, scene timing, subject stability, and any generated audio, then revise one prompt or setting variable at a time.
Frequently Asked Questions
What is Sora 2 best at for AI video generation?
Its signature strength is physically consequential action paired with synchronized dialogue and effects: missed shots can rebound, water can react to weight, and sound can follow visible events. OpenAI also documents stronger realism, steerability, and stylistic range than its prior system, making it a strong fit for sports, stunts, mechanical motion, and cinematic dialogue.
How long can second-generation Sora videos be on this page?
You can select 4, 8, 12, 16, or 20 seconds. Choose the shortest option that completes the action cleanly; use a longer duration when the scene needs setup, consequence, and recovery.
Does OpenAI's second-generation Sora support image-to-video here?
Yes. Start with one JPG, JPEG, PNG, or WEBP image up to 10 MB, then describe the subject movement, camera behavior, environmental response, and intended ending.
Can I use Sora 2 videos commercially?
Usage rights depend on the terms that apply to your account, project, source materials, and distribution channel. Review those terms before publishing client work, advertising, branded media, or monetized content; this answer is not legal advice.
Will my exported clip include a watermark?
Free-account outputs carry a watermark, while paid plans generate without one. Confirm the account tier before creating a client deliverable or final campaign asset.
How are generation credits calculated?
The credit cost is calculated live from the selected model and generation options, so there is no fixed per-clip price quoted in this content. New signups receive 60 credits to begin generating.
How do I improve a scene with multiple actions?
Reduce the prompt to one main cause-and-effect chain, one camera objective, and a small cast. If the scene still loses continuity, split it into separate clips and preserve the same subject, wardrobe, lighting, and environment descriptions across each prompt.
What should I do if a generation is blocked or fails?
Check that the prompt is clear, remove ambiguous sensitive content or unapproved likeness requests, and retry with fewer simultaneous instructions. Safety checks can examine both inputs and generated outputs; if a simplified request repeatedly fails, contact site support with the mode, settings, and displayed error message.