Merge pull request #228183 from laujan/65564-lu-pr-update

date and acrolinx updates

Author: prmerger-automator[bot]

articles/applied-ai-services/form-recognizer/concept-id-document.md

@@ -7,7 +7,7 @@ manager: nitinme
 ms.service: applied-ai-services
 ms.subservice: forms-recognizer
 ms.topic: conceptual
-ms.date: 11/14/2022
+ms.date: 02/22/2023
 ms.author: lajanuar
 recommendations: false
 ms.custom: references.regions
@@ -26,7 +26,13 @@ ms.custom: references.regions
 
 ::: moniker range="form-recog-3.0.0"
 
-Form Recognizer Identity document (ID) model combines Optical Character Recognition (OCR) with deep learning models to analyze and extract key information from identity documents such as US Drivers Licenses (all 50 states and District of Columbia), international passport biographical pages, US state IDs, social security cards, and permanent resident cards and more. The API analyzes identity documents, extracts key information, and returns a structured JSON data representation.
+Form Recognizer Identity document (ID) model combines Optical Character Recognition (OCR) with deep learning models to analyze and extract key information from identity documents. The API analyzes identity documents (including the following) and returns a structured JSON data representation:
+
+* US Drivers Licenses (all 50 states and District of Columbia)
+* International passport biographical pages
+* US state IDs
+* Social Security cards
+* Permanent resident cards
 
 ::: moniker-end
 
@@ -67,7 +73,7 @@ The prebuilt IDs service extracts the key values from worldwide passports and U.
 ## Development options
 
 ::: moniker range="form-recog-3.0.0"
-The following tools are supported by Form Recognizer v3.0:
+Form Recognizer v3.0 supports the following tools:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
@@ -76,7 +82,7 @@ The following tools are supported by Form Recognizer v3.0:
 
 ::: moniker range="form-recog-2.1.0"
 
-The following tools are supported by Form Recognizer v2.1:
+Form Recognizer v2.1 supports the following tools:
 
 | Feature | Resources |
 |----------|-------------------------|
@@ -94,14 +100,14 @@ The following tools are supported by Form Recognizer v2.1:
 ::: moniker range="form-recog-2.1.0"
 
 * Supported file formats: JPEG, PNG, PDF, and TIFF
-* For PDF and TIFF, up to 2000 pages are processed. For free tier subscribers, only the first two pages are processed.
+* Form Recognizer processes PDF and TIFF files up to 2000 pages or only the first two pages for free-tier subscribers.
 * The file size must be less than 50 MB and dimensions at least 50 x 50 pixels and at most 10,000 x 10,000 pixels.
 
 ::: moniker-end
 
 ### Try Form Recognizer
 
-Extract data, including name, birth date, and expiration date, from ID documents. You'll need the following resources:
+Extract data, including name, birth date, and expiration date, from ID documents. You need the following resources:
 
 * An Azure subscription—you can [create one for free](https://azure.microsoft.com/free/cognitive-services/)
 
@@ -155,9 +161,9 @@ Extract data, including name, birth date, and expiration date, from ID documents
 
 1. In the **key** field, paste  the key you obtained from your Form Recognizer resource.
 
-    :::image type="content" source="media/fott-select-form-type.png" alt-text="Screenshot: select form type dropdown menu.":::
+    :::image type="content" source="media/fott-select-form-type.png" alt-text="Screenshot: select document type dropdown menu.":::
 
-1. Select **Run analysis**. The Form Recognizer Sample Labeling tool will call the Analyze Prebuilt API and analyze the document.
+1. Select **Run analysis**. The Form Recognizer Sample Labeling tool calls the Analyze Prebuilt API and analyzes the document.
 
 1. View the results - see the key-value pairs extracted, line items, highlighted text extracted and tables detected.
 
@@ -167,7 +173,7 @@ Extract data, including name, birth date, and expiration date, from ID documents
 
     * The "readResults" node contains every line of text with its respective bounding box placement on the page.
     * The "selectionMarks" node shows every selection mark (checkbox, radio mark) and whether its status is "selected" or "unselected".
-    * The "pageResults" section includes the tables extracted. For each table, the text, row, and column index, row and column spanning, bounding box, and more are extracted.
+    * The "pageResults" section includes the tables extracted. For each table, Form Recognizer extracts the text, row, and column index, row and column spanning, bounding box, and more.
     * The "documentResults" field contains key/value pairs information and line items information for the most relevant parts of the document.
 
 > [!NOTE]
@@ -190,7 +196,7 @@ Extract data, including name, birth date, and expiration date, from ID documents
 
 ## Field extractions
 
-Below are the fields extracted per document type. The Azure Form Recognizer ID model `prebuilt-idDocument` extracts the below fields in the `documents.*.fields`. It also extracts all the text in the documents, words, lines, and styles that are included in the JSON output in the different sections.  
+The following are the fields extracted per document type. The Azure Form Recognizer ID model `prebuilt-idDocument` extracts the following fields in the `documents.*.fields`. The json output includes all the extracted text in the documents, words, lines, and styles.
 
 >[!NOTE]
 >
@@ -247,7 +253,7 @@ Below are the fields extracted per document type. The Azure Form Recognizer ID m
 |`PlaceOfBirth`|`string`|Place of birth|MASSACHUSETTS, U.S.A.|
 |`PlaceOfIssue`|`string`|Place of issue|LA PAZ|
 |`IssuingAuthority`|`string`|Issuing authority|United States Department of State|
-|`PersonalNumber`|`string`|Personal Id. No.|A234567893|
+|`PersonalNumber`|`string`|Personal ID. No.|A234567893|
 |`MachineReadableZone`|`object`|Machine readable zone (MRZ)|P<USABROOKS<<JENNIFER<<<<<<<<<<<<<<<<<<<<<<< 3400200135USA8001014F1905054710000307<715816|
 |`MachineReadableZone.FirstName`|`string`|Given name and middle initial if applicable|JENNIFER|
 |`MachineReadableZone.LastName`|`string`|Surname|BROOKS|

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

@@ -7,7 +7,7 @@ manager: nitinme
 ms.service: applied-ai-services
 ms.subservice: forms-recognizer
 ms.topic: conceptual
-ms.date: 02/13/2023
+ms.date: 02/22/2023
 ms.author: lajanuar
 recommendations: false
 ---
@@ -27,7 +27,7 @@ The Form Recognizer receipt model combines powerful Optical Character Recognitio
 
 ## Receipt data extraction
 
-Receipt digitization is the process of converting scanned receipts into digital form for downstream processing. Azure Form Recognizer OCR-powered receipt data extraction helps to automate the conversion and save time and effort. The output from the receipt data extraction is used for accounts payable and receivables automation, sales data analytics, and other business scenarios.
+Receipt digitization is the process of converting scanned receipts into digital form for downstream processing. Azure Form Recognizer OCR-powered receipt data extraction helps to automate the conversion and save time and effort.
 
 ::: moniker range="form-recog-3.0.0"
 
@@ -48,7 +48,7 @@ Receipt digitization is the process of converting scanned receipts into digital
 ## Development options
 
 ::: moniker range="form-recog-3.0.0"
-The following tools are supported by Form Recognizer v3.0:
+Form Recognizer v3.0 Supports the following tools:
 
 | Feature | Resources | Model ID |
 |----------|-------------|-----------|
@@ -58,7 +58,7 @@ The following tools are supported by Form Recognizer v3.0:
 
 ::: moniker range="form-recog-2.1.0"
 
-The following tools are supported by Form Recognizer v2.1:
+Form Recognizer v2.1 supports the following tools:
 
 | Feature | Resources |
 |----------|-------------------------|
@@ -77,14 +77,14 @@ The following tools are supported by Form Recognizer v2.1:
 ::: moniker range="form-recog-2.1.0"
 
 * Supported file formats: JPEG, PNG, PDF, and TIFF
-* For PDF and TIFF, up to 2000 pages are processed. For free tier subscribers, only the first two pages are processed.
+* For PDF and TIFF, Form Recognizer can process up to 2000 pages for standard tier subscribers or only the first two pages for free-tier subscribers.
 * The file size must be less than 50 MB and dimensions at least 50 x 50 pixels and at most 10,000 x 10,000 pixels.
 
 ::: moniker-end
 
 ### Try receipt data extraction
 
-See how data, including time and date of transactions, merchant information, and amount totals, is extracted from receipts. You need the following resources:
+See how Form Recognizer extracts data, including time and date of transactions, merchant information, and amount totals from receipts. You need the following resources:
 
 * An Azure subscription—you can [create one for free](https://azure.microsoft.com/free/cognitive-services/)