Acronlinx fixes

Author: GraemeMalcolm

learn-pr/wwl-data-ai/read-text-images-documents-with-computer-vision-service/2-options-read-text.yml

@@ -1,18 +1,18 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.read-text-images-documents-with-computer-vision-service.options-for-reading-text
-title: Explore Azure AI Vision options for reading text
-metadata:
-  title: Explore Azure AI Vision options for reading text
-  description: Explore Azure AI Vision options for reading text
-  author: wwlpublish
-  ms.author: berryivor
-  ms.date: 02/05/2024
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-azureSandbox: false
-labModal: false
-durationInMinutes: 3
-content: |
-  [!include[](includes/2-options-read-text.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.read-text-images-documents-with-computer-vision-service.options-for-reading-text
+title: Explore Azure AI options for reading text
+metadata:
+  title: Explore Azure AI options for reading text
+  description: Explore Azure AI Vision options for reading text
+  author: wwlpublish
+  ms.author: berryivor
+  ms.date: 02/05/2024
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+azureSandbox: false
+labModal: false
+durationInMinutes: 3
+content: |
+  [!include[](includes/2-options-read-text.md)]
+

learn-pr/wwl-data-ai/read-text-images-documents-with-computer-vision-service/6-knowledge-check.yml

@@ -13,11 +13,11 @@ metadata:
 durationInMinutes: 3
 quiz:
   questions:
-  - content: "Which service should you use to locate and read text in signs within a photograph of a street."
+  - content: "Which service should you use to locate and read text in signs within a photograph of a street?"
     choices:
     - content: "Azure AI Language"
       isCorrect: false
-      explanation: "Incorrect: Azure AI Language aren't able to perform OCR."
+      explanation: "Incorrect: Azure AI Language isn't able to do OCR."
     - content: "Azure AI Document Intelligence"
       isCorrect: false
       explanation: "Incorrect: Azure Document Intelligence is designed to extract text from documents and forms."
@@ -42,7 +42,7 @@ quiz:
       explanation: "Incorrect: The location and text of individual words are returned, but that's not the only level."
     - content: "A single *block* containing all of the text in the image."
       isCorrect: false
-      explanation: "Incorrect:  single block is returned, but it includes smaller location areas for the text detected in the image."
+      explanation: "Incorrect:  A single block is returned, but it includes smaller location areas for the text detected in the image."
     - content: "A *block* containing the location of *lines* of text as well as individual *words*."
       isCorrect: true
       explanation: "Correct: The image analysis OCR results include a block in which each line of text is located, and within each line the location of each word is returned."

learn-pr/wwl-data-ai/read-text-images-documents-with-computer-vision-service/includes/1-introduction.md

@@ -1,13 +1,5 @@
-Suppose you are given thousands of images and asked to transfer the text on the images to a computer database. The scanned images have text organized in different formats and contain multiple languages. What are some ways you could complete the project in a reasonable time frame and make sure the data is entered with a high degree of accuracy? 
+Suppose you're given thousands of images and asked to transfer the text on the images to a computer database. The scanned images have text organized in different formats and contain multiple languages. What are some ways you could complete the project in a reasonable time frame and make sure the data is entered with a high degree of accuracy? 
 
 Companies around the world are tackling similar scenarios every day. Without AI services, it would be challenging to complete the project, especially if it were to change in scale.
 
-Using AI services, we can treat this project as an Azure AI Vision scenario and apply Optical Character Recognition (OCR). OCR allows you to extract text from images, such as photos of street signs and products, as well as from documents — such as handwritten or unstructured documents.
-
-To build an automated AI solution, you need to train machine learning models to cover many use cases. Azure AI Vision service gives access to advanced algorithms for processing images and returns data to secure storage.
-
-In this module, you'll learn how to:
-
-- Identify how the Azure AI Vision service enables you to read text from images
-- Use the Azure AI Vision service with SDKs and the REST API
-- Develop an application that can read printed and handwritten text
+Using AI services, we can treat this project as an Azure AI Vision scenario and apply Optical Character Recognition (OCR). OCR allows you to extract text from images, such as photos of street signs and products, and from documents; such as handwritten or unstructured documents.

learn-pr/wwl-data-ai/read-text-images-documents-with-computer-vision-service/includes/2-options-read-text.md

@@ -4,11 +4,11 @@ There are multiple Azure AI services that read text from documents and images, e
     - **Text location and extraction from scanned documents**: Azure AI Vision is a great solution for general, unstructured documents that have been scanned as images. For example, reading text in labels, menus, or business cards.
     - **Finding and reading text in photographs**: Examples include photo's that include street signs and store names.
     - **Digital asset management (DAM)**: Azure AI Vision includes functionality for analyzing images beyond extracting text; including object detection, describing or categorizing an image, generating smart-cropped thumbnails and more. These capabilities make it a useful service when you need to catalog, index, or analyze large volumes of digital image-based content.
-- **Azure AI Document Intelligence** is a service that is specifically designed to extract information from complex digital documents. Azure AI Document Intelligence is designed for extracting text, key-value pairs, tables, and structures from documents automatically and accurately. Key considerations for choosing Azure AI Document Intelligence include:
+- **Azure AI Document Intelligence** is a service that you can use to extract information from complex digital documents. Azure AI Document Intelligence is designed for extracting text, key-value pairs, tables, and structures from documents automatically and accurately. Key considerations for choosing Azure AI Document Intelligence include:
     - **Form Processing**: Azure AI Document Intelligence is specifically designed to extract data from forms, invoices, receipts, and other structured documents.
     - **Prebuilt Models**: Azure AI Document Intelligence provides prebuilt models for common document types to reduce complexity and integrate into workflows or applications.
     - **Custom Models**: Creating custom models tailored to your specific documents, makes Azure AI Document Intelligence a flexible solution that can be used in many business scenarios.
-- **Azure AI Content Understanding** is a service that you can use to analyze and extract information from multiple kinds of content; including documents, images, audio streams, and video.It is suitable for:
+- **Azure AI Content Understanding** is a service that you can use to analyze and extract information from multiple kinds of content; including documents, images, audio streams, and video. It is suitable for:
     - **Multimodal content extraction**: Extracting content and structured fields from documents, forms, audio, video, and images.
     - **Custom content analysis scenarios**: Support for customizable analyzers enables you to extract specific content or fields tailored to business needs.
 

learn-pr/wwl-data-ai/read-text-images-documents-with-computer-vision-service/includes/4-use-read-api.md

@@ -57,7 +57,7 @@ ImageAnalysisResult result = client.Analyze(
 
 ::: zone-end
 
-The results of the Read OCR function are returned synchronously, either as JSON or the language specific object of a similar structure. These results are broken down in *blocks* (with the current service only using one block), then *lines*, and then *words*. Additionally, the text values are included at both the *line* and *word* levels, making it easier to read entire lines of text if you don't need to extract text at the individual *word* level.
+The results of the Read OCR function are returned synchronously, either as JSON or the language-specific object of a similar structure. These results are broken down in *blocks* (with the current service only using one block), then *lines*, and then *words*. Additionally, the text values are included at both the *line* and *word* levels, making it easier to read entire lines of text if you don't need to extract text at the individual *word* level.
 
 ```JSON
 {