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sora-2

Sora 2 text-to-video is OpenAI’s flagship AI model that generates high-fidelity, realistic videos directly from natural language prompts. It understands and simulates complex scenes, follows script-level instructions, and creates synchronized audio and persistent characters. Sora 2 excels in physical realism, cinematic quality, and multi-shot continuity for rapid content production and storytelling.​

PRICE

$ 0.4

Per time

INPUT

text

OUTPUT

video

Input

Output

Play video
Your request will cost$0per run, for$100you can run this model approximately0times

Pricing Details

SizeDurationPrice
720*12804$0.4
8$0.8
12$1.2
1280*7204$0.4
8$0.8
12$1.2

Examples

A dramatic Hollywood breakup scene at dusk on a quiet suburban street. A man and a woman in their 30s face each other, speaking softly but emotionally, lips syncing to breakup dialogue. Cinematic lighting, warm sunset tones, shallow depth of field, gentle breeze moving autumn leaves, realistic natural sound, no background music
Format & Look Duration 4s; 180° shutter; digital capture emulating 65 mm photochemical contrast; fine grain; subtle halation on speculars; no gate weave. Lenses & Filtration 32 mm / 50 mm spherical primes; Black Pro-Mist 1/4; slight CPL rotation to manage glass reflections on train windows. Grade / Palette Highlights: clean morning sunlight with amber lift. Mids: balanced neutrals with slight teal cast in shadows. Blacks: soft, neutral with mild lift for haze retention. Lighting & Atmosphere Natural sunlight from camera left, low angle (07:30 AM). Bounce: 4×4 ultrabounce silver from trackside. Negative fill from opposite wall. Practical: sodium platform lights on dim fade. Atmos: gentle mist; train exhaust drift through light beam. Location & Framing Urban commuter platform, dawn. Foreground: yellow safety line, coffee cup on bench. Midground: waiting passengers silhouetted in haze. Background: arriving train braking to a stop. Avoid signage or corporate branding. Wardrobe / Props / Extras Main subject: mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side. Extras: commuters in muted tones; one cyclist pushing bike. Props: paper coffee cup, rolling luggage, LED departure board (generic destinations). Sound Diegetic only: faint rail screech, train brakes hiss, distant announcement muffled (-20 LUFS), low ambient hum. Footsteps and paper rustle; no score or added foley. Optimized Shot List (2 shots / 4 s total) 0.00–2.40 — “Arrival Drift” (32 mm, shoulder-mounted slow dolly left) Camera slides past platform signage edge; shallow focus reveals traveler mid-frame looking down tracks. Morning light blooms across lens; train headlights flare softly through mist. Purpose: establish setting and tone, hint anticipation. 2.40–4.00 — “Turn and Pause” (50 mm, slow arc in) Cut to tighter over-shoulder arc as train halts; traveler turns slightly toward camera, catching sunlight rim across cheek and phone screen refle

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sora-2/text-to-video Use Cases

Explore practical scenarios where sora-2/text-to-video supports developers in automated video creation, concept visualization, and marketing content generation.

Rapid Marketing Video Generation

A digital advertising team leverages sora-2/text-to-video to generate short, attention-grabbing video teasers from text-based campaign briefs. Using the API, they input product highlights and brand messages, quickly producing multiple variations for A/B testing across social media platforms. The team reduces production time and iterates concepts efficiently, leading to accelerated market launches and improved creative workflows.

Educational Demo Content Creation

An e-learning startup uses sora-2/text-to-video to automatically generate explainer videos for complex scientific processes. Instructors provide structured text descriptions, which the model converts into animated video demonstrations. This workflow enables rapid course development, customization for different audiences, and consistent quality, making technical education more engaging and accessible for learners globally.

App Prototype Visualization Tool

A software developer integrates sora-2/text-to-video into a prototyping tool. By translating app flow descriptions into animated interface videos, the model helps product teams visualize user experiences before coding. Stakeholders review dynamic video prototypes, suggest improvements, and share feedback early in the development cycle, decreasing rework and speeding up launch timelines.

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Getting Started with Gptproto — Build with sora-2 in Minutes

Follow these simple steps to set up your account, get credits, and start sending API requests to sora-2 via Gptproto.

Sign up

Sign up

Create your free Gptproto account to begin. You can set up an organization for your team at any time.

Top up

Top up

Your balance can be used across all models on the platform, including sora-2, giving you the flexibility to experiment and scale as needed.

Generate your API key

Generate your API key

In your dashboard, create an API key — you’ll need it to authenticate when making requests to sora-2.

Make your first API call

Make your first API call

Use your API key with our sample code to send a request to sora-2 via Gptproto and see instant AI‑powered results.

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