update

Author: mrbullwinkle

articles/ai-foundry/openai/concepts/video-generation.md

@@ -44,7 +44,7 @@ Provides 5 endpoints, each with distinct capabilities.
 - List Videos: Enumerate your videos with pagination for history, dashboards, or housekeeping. 
 - Delete Videos: Delete an individual video id from Azure OpenAI’s storage
 
-### API Parameters
+### API parameters
 
 | Parameter | Type | **Sora 2** | 
 |------------|------|------------|
@@ -138,9 +138,9 @@ Video generation started: Video(id='video_68f10985d6c4819097007665bdcfba5f', com
 
 ---
 
-### Create a videa and poll job status
+### Create a video and poll job status
 
-Call `GET /videos/{video_id}` with the id returned from the create call. The response shows the job’s current status, progress percentage , and any errors.
+Call `GET /videos/{video_id}` with the id returned from the create call. The response shows the job’s current status, progress percentage, and any errors.
 
 Expected states are `queued`, `in_progress`, `completed`, and `failed`. 
 
@@ -365,7 +365,7 @@ asyncio.run(main())
 
 # [Response](#tab/python-output)
 
-Response will vary based on if the syncronous or asyncronous version of the code is used. 
+Response will vary based on if the synchronous or asynchronous version of the code is used. 
 
 ```json
 Video creation started. ID: video_68f10c5428708190a98980c2d2b21a78
@@ -463,8 +463,6 @@ Saved video.mp4
 
 ---
 
-
-
 ## How it works
 
 Video generation is an asynchronous process. You create a job request with your text prompt and video format specifications, and the model processes the request in the background. You can check the status of the video generation job and, once it finishes, retrieve the generated video through a download URL.