Export project

Export existing video project. Exported project will be ready for download eventually. This API endpoint is intended to send export request to the backend server of the AI Studio backend server. To retrieve its download url, use the get project endpoint or the get-projects endpoint. Video export may take up to 10 minutes depend on its data size (e.g. number of scenes).

1. API endpoint

https://app.deepbrain.io/api/odin/v3/editor/project/export

2. Request parameters

key	desc	type	required	default
projectId	Unique ObjectId of the video project to be exported	String	true	-
webhookUrl	Url address where the export result should be sent.	String	false	-

3. Response parameters

key	desc	type
projectId	Project Id - Fetching the video project data that has been exported.	String

4. Sample Request

cURL

curl https://app.deepbrain.io/api/odin/v3/editor/project/export  \
-H "Authorization: ${API KEY}" \
-H "Content-Type: application/json" \
-X POST \
-d '{
    "projectId":"65fa6b07dca2e367461a2925",
  }, '

Node.js

import axios from "axios";
const token = ${API KEY};
const customWebhookUrl = ${webhook_delivery_address};

axios.post('https://app.deepbrain.io/api/odin/v3/editor/project/export', 
  {
    "projectId":"65fa6b07dca2e367461a2925",
  }, 
  {
    headers: {
      'Authorization': ${token},
      'Content-Type': 'application/json'
    }
  }
)
.then((res) => {
  console.log(res.data);
})
.catch((error) => {
  console.error(error);
})

Python

import requests
import json

url = "https://app.deepbrain.io/api/odin/v3/editor/project/export"
body = {
    "projectId":"65fa6b07dca2e367461a2925",
  }, 
headers = {
  "Content-Type": "application/json",
  "Authorization": ${API TOKEN}
}

r = requests.post(url, data=json.dumps(body), headers=headers)