**What this API does**
Create the same Lip Sync you can make in the browser, but programmatically, so you can automate it, run it at scale, or connect it to your own app or workflow.
**Good for**
- Automation and batch processing
- Adding lip sync into apps, pipelines, or tools
**How it works (3 steps)**
1) Upload your inputs (video, image, or audio) with [Generate Upload URLs](https://docs.magichour.ai/api-reference/files/generate-asset-upload-urls) and copy the `file_path`.
2) Send a request to create a lip sync job with the basic fields.
3) Check the job status until it's `complete`, then download the result from `downloads`.
**Key options**
- Inputs: usually a file, sometimes a YouTube link, depending on project type
- Resolution: free users are limited to 576px; higher plans unlock HD and larger sizes
- Extra fields: e.g. `face_swap_mode`, `start_seconds`/`end_seconds`, or a text prompt
**Cost**
Credits are only charged for the frames that actually render. You'll see an estimate when the job is queued, and the final total after it's done.
For detailed examples, see the [product page](https://magichour.ai/products/lip-sync).
MCP guidance:
- This starts an async video generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_video_project` helper with the returned id, or poll the matching `GET /v1/video-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata.
- For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned `file_path`.
