Sora-2-Pro - Text To Video - reverse

POST

api

openai

reverse

sora-2-pro

text-to-video

sora-2-pro (Text To Video)

curl --request POST \
  --url https://gptproto.com/api/v3/openai/reverse/sora-2-pro/text-to-video

const options = {method: 'POST'};

fetch('https://gptproto.com/api/v3/openai/reverse/sora-2-pro/text-to-video', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://gptproto.com/api/v3/openai/reverse/sora-2-pro/text-to-video",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://gptproto.com/api/v3/openai/reverse/sora-2-pro/text-to-video"

	req, _ := http.NewRequest("POST", url, nil)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

require 'uri'
require 'net/http'

url = URI("https://gptproto.com/api/v3/openai/reverse/sora-2-pro/text-to-video")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)

response = http.request(request)
puts response.read_body

Authentication

Sign up for a GPTProto account at https://gptproto.com
Navigate to the API Keys section in your dashboard
Generate a new API key (sk-xxxxx)
Copy and securely store your API key For authentication details, please refer to the Authentication section.

Initiate Request

curl --location 'https://gptproto.com/api/v3/openai/reverse/sora-2-pro/text-to-video' \
--header 'Authorization: GPTPROTO_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
  "orientation": "portrait",
  "prompt": "She turns around and smiles, then slowly walks out of the frame.",
  "size": "small",
  "duration": 10,
  "character_url": "https://oss.gptproto.com/2025/11/11/fffe18ab440d4fadb16b4563c4cd18d1.mp4"
}'

const axios = require('axios');
let data = JSON.stringify({
  "orientation": "portrait",
  "prompt": "She turns around and smiles, then slowly walks out of the frame.",
  "size": "small",
  "duration": 10,
  "character_url": "https://oss.gptproto.com/2025/11/11/fffe18ab440d4fadb16b4563c4cd18d1.mp4"
});

let config = {
  method: 'post',
  maxBodyLength: Infinity,
  url: 'https://gptproto.com/api/v3/openai/reverse/sora-2-pro/text-to-video',
  headers: { 
    'Authorization': 'GPTPROTO_API_KEY', 
    'Content-Type': 'application/json'
  },
  data : data
};

axios.request(config)
.then((response) => {
  console.log(JSON.stringify(response.data));
})
.catch((error) => {
  console.log(error);
});

import requests
import json

url = "https://gptproto.com/api/v3/openai/reverse/sora-2-pro/text-to-video"

payload = json.dumps({
  "orientation": "portrait",
  "prompt": "She turns around and smiles, then slowly walks out of the frame.",
  "size": "small",
  "duration": 10,
  "character_url": "https://oss.gptproto.com/2025/11/11/fffe18ab440d4fadb16b4563c4cd18d1.mp4"
})
headers = {
  'Authorization': 'GPTPROTO_API_KEY',
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

package main

import (
  "fmt"
  "strings"
  "net/http"
  "io"
)

func main() {

  url := "https://gptproto.com/api/v3/openai/reverse/sora-2-pro/text-to-video"
  method := "POST"

  payload := strings.NewReader(`{
  "orientation": "portrait",
  "prompt": "She turns around and smiles, then slowly walks out of the frame.",
  "size": "small",
  "duration": 10,
  "character_url": "https://oss.gptproto.com/2025/11/11/fffe18ab440d4fadb16b4563c4cd18d1.mp4"
}`)

  client := &http.Client {
  }
  req, err := http.NewRequest(method, url, payload)

  if err != nil {
    fmt.Println(err)
    return
  }
  req.Header.Add("Authorization", "GPTPROTO_API_KEY")
  req.Header.Add("Content-Type", "application/json")

  res, err := client.Do(req)
  if err != nil {
    fmt.Println(err)
    return
  }
  defer res.Body.Close()

  body, err := io.ReadAll(res.Body)
  if err != nil {
    fmt.Println(err)
    return
  }
  fmt.Println(string(body))
}

Query Result

If the request that generated your content includes the parameter enable_sync_mode set to true (some models do not support this parameter, but you still need to query the result by id), you must call the Query Result endpoint to retrieve the final output.

curl -X GET "https://gptproto.com/api/v3/predictions/{id}/result" \
  -H "Authorization: GPTPROTO_API_KEY" \
  -H "Content-Type: application/json"

import requests
import json

url = "https://gptproto.com/api/v3/predictions/{id}/result"
headers = {
    "Authorization: GPTPROTO_API_KEY",
    "Content-Type": "application/json"
}

response = requests.get(url, headers=headers)
result = response.json()
print(json.dumps(result, indent=2))

const url = "https://gptproto.com/api/v3/predictions/{id}/result";
const headers = {
  "Authorization: GPTPROTO_API_KEY",
  "Content-Type": "application/json"
};

fetch(url, {
  method: "GET",
  headers: headers
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));

package main

import (
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://gptproto.com/api/v3/predictions/{id}/result"

    req, _ := http.NewRequest("GET", url, nil)
    req.Header.Set("Authorization", "GPTPROTO_API_KEY")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}

After submitting your prediction request, the response will contain the id you need.
You can find it in either:

data.id – the unique identifier of the prediction
data.urls[0].get – a ready-to-use GET URL that already embeds the id

Response Example

{
    "data": {
        "id": "abc",
        "model": "model_name",
        "outputs": [],
        "urls": {
            "get": "https://gptproto.com/api/v3/predictions/abc/result"
        },
        "status": "completed",
        "error": null,
        "executionTime": 0,
        "timings": {
            "inference": 0
        },
        "has_nsfw_contents": [],
        "created_at": "2026-01-01 00:00:00"
    },
    "message": "success",
    "code": 200
}

Parameters

Parameter	Type	Required	Default	Range	Description
`model`	string	✅ Yes	`sora-2`	`sora-2` `sora-2-pro`	The video generation model to use.
`prompt`	string	✅ Yes	-	-	The positive prompt for the generation.
`images`	string[]	✅ Yes	-	-	Images parameter ,The image must match the target video’s resolution (size).
`size`	string	✅ Yes	`small`	`small` `large`	Video size quality. Options: small, large. Only sora-2-pro supports high-definition (large)
`orientation`	string	❌ No	`portrait`	`portrait` `landscape`	Video orientation, does not support specific size control. Options: portrait, landscape
`duration`	integer	❌ No	`10`	For sora-2: `10`、`15` For sora-2-pro: `10`、`15`、`25`	The duration of the generated video in seconds. For sora-2: 10, 15. For sora-2-pro: 10, 15, 25
`character_url`	string	❌ No	-	-	Non-human IP video URL.

Error Codes

Common Error Codes

Error Code	Error Name	Description
401	Unauthorized	API key is missing or invalid
403	Forbidden	Your API key doesn’t have permission to access this resource, or insufficient balance for the requested operation
429	Too Many Requests	You’ve exceeded your rate limit
500	Internal server error	An internal server error occurred
503	Content policy violation	Content blocked due to safety concerns (actual status code is 400)

Sora-2-Pro - Image To Video - reverse

Gemini-2.5-Flash - File Analysis

​Authentication

​Initiate Request

​Query Result

​Parameters

​Error Codes

​Common Error Codes