Videos

Create a video

POST /openai/v1/videos

Creates a video from the supplied request.

要求本文

The multipart request body.

Content-Type: multipart/form-data

model OpenAI.CreateVideoMultipartBody

The video generation model to use (allowed values: sora-2, sora-2-pro). Defaults to sora-2.

prompt string 必須

Text prompt that describes the video to generate.

input_reference any | OpenAI.ImageRefParam

次のいずれか:

any

次のいずれか:

image_url string 必須

file_id string 必須

seconds OpenAI.CreateVideoMultipartBody

Clip duration in seconds (allowed values: 4, 8, 12). Defaults to 4 seconds.

size OpenAI.CreateVideoMultipartBody

Output resolution formatted as width x height (allowed values: 720x1280, 1280x720, 1024x1792, 1792x1024). Defaults to 720x1280.

応答

The request has succeeded.

本文

Content-Type: application/json

id string 必須

Unique identifier for the video job.

object enum 必須

The object type, which is always video.

video

model string | enum 必須

次のいずれか:

string

enum

sora-2sora-2-prosora-2-2025-10-06sora-2-pro-2025-10-06sora-2-2025-12-08

status enum 必須

queuedin_progresscompletedfailed

progress integer 必須

created_at integer 必須

Unix timestamp (seconds) for when the job was created.

completed_at integer | null 必須

Unix timestamp (seconds) for when the job completed, if finished.

expires_at integer | null 必須

Unix timestamp (seconds) for when the downloadable assets expire, if set.

prompt string | null 必須

size enum 必須

720x12801280x7201024x17921792x1024

seconds string 必須

Duration of the generated clip in seconds. For extensions, this is the stitched total duration.

remixed_from_video_id string | null 必須

error OpenAI.Error-2 | null 必須

An error that occurred while generating the response.

code string 必須

A machine-readable error code that was returned.

type string | null

param string | null

message string 必須

A human-readable description of the error that was returned.

headers object

The Retry-After and Retry-After-Ms headers returned with the original error, if any.

[key: string] string

misalignment OpenAI.MisalignmentErrorDetailsResource

review_target string | null

error_type string | enum

次のいずれか:

string

enum

potentially_unintended_data_transferpotentially_unintended_data_accesspotentially_unintended_destructive_activityother

detailed_explanation string

The public explanation for this block.

steer OpenAI._MisalignmentSteer

message string 必須

The public continuation instruction.

要求

curl https://api.openai.com/v1/videos \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -F "model=sora-2" \
  -F "prompt=A calico cat playing a piano on stage"

import OpenAI from 'openai';

const openai = new OpenAI();

const video = await openai.videos.create({ prompt: 'A calico cat playing a piano on stage' });

console.log(video.id);

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),  # This is the default and can be omitted
)
video = client.videos.create(
    prompt="x",
)
print(video.id)

package main

import (
    "context"
    "fmt"

    "github.com/openai/openai-go"
    "github.com/openai/openai-go/option"
)

func main() {
    client := openai.NewClient(
        option.WithAPIKey("My API Key"),
    )
    video, err := client.Videos.New(context.TODO(), openai.VideoNewParams{
        Prompt: "x",
    })
    if err != nil {
        panic(err.Error())
    }
    fmt.Printf("%+v
", video.ID)
}

require "openai"

openai = OpenAI::Client.new(api_key: "My API Key")

video = openai.videos.create(prompt: "x")

puts(video)

package com.openai.example;

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.videos.Video;
import com.openai.models.videos.VideoCreateParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        OpenAIClient client = OpenAIOkHttpClient.fromEnv();

        VideoCreateParams params = VideoCreateParams.builder()
            .prompt("x")
            .build();
        Video video = client.videos().create(params);
    }
}

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
});

const video = await client.videos.create({ prompt: 'x' });

console.log(video.id);

回答

{
  "id": "video_123",
  "object": "video",
  "model": "sora-2",
  "status": "queued",
  "progress": 0,
  "created_at": 1712697600,
  "size": "1024x1792",
  "seconds": "8",
  "quality": "standard"
}