Veo Extend API Integration Instructions
This document will introduce the integration instructions for the Veo Extend API. This interface is used to extend the duration of an already generated Veo video, with AI automatically continuing the subsequent scenes.
¶ Application Process
To use the API, you need to first apply on the corresponding Veo service page. If you are not logged in or registered, you will be automatically redirected to the login page.
¶ Basic Usage
To call this interface, the following parameters need to be passed:
video_id(required): The task ID of the source video (from/veo/videosor this interface itself).model(required): The model used for extension, only supportsveo31-fastandveo31models, other models are not supported upstream.prompt(optional): A text prompt used to guide the extension of the scene.
Request example:
curl -X POST 'https://api.acedata.cloud/veo/extend' \
-H 'accept: application/json' \
-H 'authorization: Bearer {token}' \
-H 'content-type: application/json' \
-d '{
"video_id": "dd01fc69-e1f7-4b68-aa8c-463f6b748d11",
"model": "veo31-fast",
"prompt": "the camera slowly zooms out to reveal more of the landscape"
}'
The return result is the same as /veo/videos:
{
"success": true,
"task_id": "5fa2d9a6-7e54-481b-a4b0-3dc6f25dd2ab",
"data": [
{
"id": "9b6f3b6b9c45419fbf2e3fe2f10b2b3a",
"video_url": "https://platform.cdn.acedata.cloud/veo/5fa2d9a6.mp4",
"created_at": "2025-07-25 16:07:43",
"complete_at": "2025-07-25 16:10:28",
"state": "succeeded"
}
]
}
¶ Important Restrictions
Videos from /veo/extend can continue to be extended by /veo/extend again, but cannot be processed by the following interfaces:
/veo/reshoot— cannot change camera movements/veo/objects— cannot add or remove objects
If the provided video_id is an extension result, the related interfaces will return a 400 error; please use the original video as the source.
¶ Billing Instructions
model=veo31-fast: 1.20 Credit / timemodel=veo31: 7.64 Credit / time
¶ Asynchronous Callback
The interface supports asynchronous mode; by passing callback_url, you can receive the result via a POST request after the task is completed.
