Merge pull request #216353 from sanjeev3/main

Minor SEO updates to CV and FR Read pages

Author: prmerger-automator[bot]

articles/applied-ai-services/form-recognizer/concept-read.md

@@ -19,7 +19,7 @@ recommendations: false
 
 > [!NOTE]
 >
-> For general, in-the-wild images like labels, street signs, and posters, use the [Computer Vision v4.0 preview Read](../../cognitive-services/Computer-vision/concept-ocr.md) feature optimized for general, non-document images with a performance-enhanced synchronous API that makes it easier to embed OCR in your user experience scenarios.
+> For extracting text from in-the-wild images like labels, street signs, and posters, use the [Computer Vision v4.0 preview Read](../../cognitive-services/Computer-vision/concept-ocr.md) feature optimized for general, non-document images with a performance-enhanced synchronous API that makes it easier to embed OCR in your user experience scenarios.
 > 
 
 ## What is OCR for documents?

articles/cognitive-services/Computer-vision/concept-ocr.md

@@ -16,14 +16,18 @@ ms.author: pafarley
 
 # OCR for images
 
+
+> [!NOTE]
+>
+> For extracting text from PDF, Office, and HTML documents and document images, use the [Form Recognizer Read OCR model](../../applied-ai-services/form-recognizer/concept-read.md) optimized for text-heavy digital and scanned documents with an asynchronous API that makes it easy to power your intelliegnt document processing scenarios.
+>
+
 OCR traditionally started as a machine-learning based technique for extracting text from in-the-wild and non-document images like product labels, user generated images, screenshots, street signs, and posters. For several scenarios that including running OCR on single images that are not text-heavy, you need a fast, synchronous API or service. This allows OCR to be embedded in near real-time user experiences to enrich content understanding and follow-up user actions with fast turn-around times.
 
 ## What is Computer Vision v4.0 Read OCR (preview)
 
 The new Computer Vision v4.0 Image Analysis REST API preview offers the ability to extract printed or handwritten text from images in a unified performance-enhanced synchronous API that makes it easy to get all image insights including OCR results in a single API operation. The Read OCR engine is built on top of multiple deep learning models supported by universal script-based models for [global language support](./language-support.md).
 
-[!INCLUDE [read-editions](./includes/read-editions.md)]
-
 ## Use the V4.0 REST API preview
 
 The text extraction feature is part of the [v4.0 Analyze Image REST API](https://aka.ms/vision-4-0-ref). Include `Read` in the **features** query parameter. Then, when you get the full JSON response, parse the string for the contents of the `"readResult"` section.