doc updates

Author: PatrickFarley

articles/ai-services/computer-vision/how-to/call-read-api.md

@@ -20,17 +20,6 @@ The following steps assume that you've already created a [Computer Vision resour
 
 [!INCLUDE [read-editions](../includes/read-editions.md)]
 
-## Input requirements
-
-The **Read** API call takes images and documents as its input. The images and documents must meet the following requirements:
-
-* Supported file formats are JPEG, PNG, BMP, PDF, and TIFF.
-* For PDF and TIFF files, up to 2,000 pages (only the first two pages for the free tier) are processed.
-* The file size of images must be less than 500 MB (4 MB for the free tier) with dimensions at least 50 x 50 pixels and at most 10,000 x 10,000 pixels. PDF files don't have a size limit.
-* The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 image, which corresponds to about 8-point font text at 150 DPI.
-
->[!NOTE]
-> You don't need to crop an image for text lines. Send the whole image to the Read API and it recognizes all texts.
 
 ## Determine how to process the data (optional)
 

articles/ai-services/computer-vision/includes/curl-quickstart.md

@@ -22,7 +22,6 @@ Use the optical character recognition (OCR) REST API to read printed and handwri
 - [cURL](https://curl.haxx.se/) installed.
 - <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="create a Vision resource" target="_blank">An Azure AI Vision resource</a>. You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
 - The key and endpoint from the resource you create to connect your application to the Azure AI Vision service.
-
   1. After your Azure Vision resource deploys, select **Go to resource**.
   1. In the left navigation menu, select **Keys and Endpoint**.
   1. Copy one of the keys and the **Endpoint** for use later in the quickstart.

articles/ai-services/computer-vision/includes/ocr-studio-quickstart.md

@@ -17,7 +17,6 @@ ms.author: pafarley
 - An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/).
 - [An Azure AI Vision resource](https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision). You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
 - Connect to [Vision Studio](https://portal.vision.cognitive.azure.com/).
-
   - You might need to sign in.
   - After you sign in, select **View all resources**. If necessary, select **Refresh**. Verify that your resource is available.
 

articles/ai-services/computer-vision/includes/quickstarts-sdk/csharp-sdk.md

@@ -26,7 +26,6 @@ Use the optical character recognition (OCR) client library to read printed and h
 - The [Visual Studio IDE](https://visualstudio.microsoft.com/vs/) or current version of [.NET Core](https://dotnet.microsoft.com/download/dotnet-core).
 - <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="create a Vision resource" target="_blank">An Azure AI Vision resource</a>. You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
 - The key and endpoint from the resource you create to connect your application to the Azure AI Vision service.
-
   1. After your Azure Vision resource deploys, select **Go to resource**.
   1. In the left navigation menu, select **Keys and Endpoint**.
   1. Copy one of the keys and the **Endpoint** for use later in the quickstart.

articles/ai-services/computer-vision/includes/quickstarts-sdk/node-sdk.md

@@ -26,7 +26,6 @@ Use the optical character recognition (OCR) client library to read printed and h
 - The current version of [Node.js](https://nodejs.org/).
 - <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="create a Vision resource" target="_blank">An Azure AI Vision resource</a>. You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
 - The key and endpoint from the resource you create to connect your application to the Azure AI Vision service.
-
   1. After your Azure Vision resource deploys, select **Go to resource**.
   1. In the left navigation menu, select **Keys and Endpoint**.
   1. Copy one of the keys and the **Endpoint** for use later in the quickstart.

articles/ai-services/computer-vision/includes/quickstarts-sdk/python-sdk.md

@@ -26,7 +26,6 @@ Use the optical character recognition (OCR) client library to read printed and h
 - Your Python installation should include [pip](https://pip.pypa.io/en/stable/). You can check whether you have pip installed, run `pip --version` on the command line. Get pip by installing the latest version of Python.
 - <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="create a Vision resource" target="_blank">An Azure AI Vision resource</a>. You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
 - The key and endpoint from the resource you create to connect your application to the Azure AI Vision service.
-
   1. After your Azure Vision resource deploys, select **Go to resource**.
   1. In the left navigation menu, select **Keys and Endpoint**.
   1. Copy one of the keys and the **Endpoint** for use later in the quickstart.

articles/ai-services/computer-vision/overview-ocr.md

@@ -8,7 +8,7 @@ manager: nitinme
 
 ms.service: azure-ai-vision
 ms.topic: overview
-ms.date: 06/26/2024
+ms.date: 10/16/2024
 ms.author: pafarley
 ms.custom: devx-track-csharp
 ---
@@ -62,6 +62,19 @@ The cloud APIs are the preferred option for most customers because of their ease
 
 For on-premises deployment, the [Read Docker container](./computer-vision-how-to-install-containers.md) enables you to deploy the Azure AI Vision v3.2 generally available OCR capabilities in your own local environment. Containers are great for specific security and data governance requirements.
 
+
+## Input requirements
+
+The **Read** API takes images and documents as its input. The images and documents must meet the following requirements:
+
+* Supported file formats are JPEG, PNG, BMP, PDF, and TIFF.
+* For PDF and TIFF files, up to 2,000 pages (only the first two pages for the free tier) are processed.
+* The file size of images must be less than 500 MB (4 MB for the free tier) with dimensions at least 50 x 50 pixels and at most 10,000 x 10,000 pixels. PDF files don't have a size limit.
+* The minimum height of the text to be extracted is 12 pixels for a 1024 x 768 image, which corresponds to about 8-point font text at 150 DPI.
+
+>[!NOTE]
+> You don't need to crop an image for text lines. Send the whole image to the Read API and it recognizes all texts.
+
 ## OCR data privacy and security
 
 As with all of the Azure AI services, developers using the Azure AI Vision service should be aware of Microsoft's policies on customer data. See the [Azure AI services page](https://www.microsoft.com/trustcenter/cloudservices/cognitiveservices) on the Microsoft Trust Center to learn more.

articles/ai-services/computer-vision/quickstarts-sdk/client-library.md

@@ -7,7 +7,7 @@ author: PatrickFarley
 manager: nitinme
 ms.service: azure-ai-vision
 ms.topic: quickstart
-ms.date: 06/26/2024
+ms.date: 10/16/2024
 ms.author: pafarley
 ms.devlang: csharp
 # ms.devlang: csharp, golang, java, javascript, python