Update concept-ocr.md

Author: sanjeev3

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

@@ -16,6 +16,12 @@ ms.author: pafarley
 
 # OCR for images
 
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+> [!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.
+>
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 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)