Kling Video API for turning shot ideas into clips
Use the Kling Video API with a text prompt or starting image. Find the matching SeeAPI guide and plan how your application retrieves the finished clip.
Working with the Kling Video API
Start with a prompt or an image
Choose the Kling endpoint that matches your starting material. A text brief defines the shot from scratch; an image-based request also needs the source asset specified in its guide.
Separate the shot brief from request fields
Describe the subject, movement and camera intent in your prompt. Take required fields and supported settings from the selected endpoint document.
Connect the request to the finished clip
Keep the returned task identifier with your application job. Follow the documented status and asset retrieval flow before presenting the video to your user.
Kling Video API: practical questions
Where should I start with a Kling video request?
Decide whether you have a source image or only a shot description. Open the corresponding document and build the smallest valid request from its example.
How should I describe motion in my prompt?
Describe what the subject does and how the camera should move. Keep technical settings in their documented request fields.
Can I reuse an image-to-video request for text-to-video?
Check the two endpoint guides separately. Their source inputs differ, and each example shows the fields needed for that task.
What should my application retain after submission?
Retain the identifiers needed by the documented task flow so you can check completion and retrieve the clip for the correct application job.