update files

Author: laujan

articles/ai-services/document-intelligence/concept-custom-classifier.md

@@ -281,7 +281,8 @@ You can now update the custom classification in-place. Directly overwriting the
 ## Copy a model
 
 > [!NOTE]
-> Starting with the `2024-07-31-preview` API, custom clasification models support copying a model to and from any of the follwing regions:
+> Starting with the `2024-07-31-preview` API, custom classification models support copying a model to and from any of the following regions:
+>
 > * **East US**
 > * **West US2**
 > * **West Europe**

articles/ai-services/document-intelligence/concept-custom-label.md

@@ -19,7 +19,7 @@ monikerRange: '>=doc-intel-3.0.0'
 [!INCLUDE [applies to v4.0 v3.1 v3.0](includes/applies-to-v40-v31-v30.md)]
 
 > [!IMPORTANT]
-> Best practices to generating labelled datasets only applies to custom template and cutom neural models, for custom generative, refer to [Custom Generative](concept-custom-generative.md)
+> Best practices to generating labelled datasets only applies to custom template and custom neural models, for custom generative, refer to [Custom Generative](concept-custom-generative.md)
 
 Custom models (template and neural) require a labeled dataset of at least five documents to train a model. The quality of the labeled dataset affects the accuracy of the trained model. This guide helps you learn more about generating a model with high accuracy by assembling a diverse dataset and provides best practices for labeling your documents.
 

articles/ai-services/document-intelligence/concept-custom-neural.md

@@ -88,14 +88,14 @@ With the release of API versions **2022-06-30-preview** and later, custom neural
 * Documents analyzed with custom neural models using API version 2022-06-30-preview or later will produce tabular fields aggregated across the tables.
 * The results can be found in the ```analyzeResult``` object's ```documents``` array that is returned following an analysis operation.
 
-2. Tabular fields support **cross page tables** by default:
+Tabular fields support **cross page tables** by default:
 
     * To label a table that spans multiple pages, label each row of the table across the different pages in a single table.
     * As a best practice, ensure that your dataset contains a few samples of the expected variations. For example, include samples where the entire table is on a single page and where tables span two or more pages.
 
-3. Tabular fields are also useful when extracting repeating information within a document that isn't recognized as a table. For example, a repeating section of work experiences in a resume can be labeled and extracted as a tabular field.
+Tabular fields are also useful when extracting repeating information within a document that isn't recognized as a table. For example, a repeating section of work experiences in a resume can be labeled and extracted as a tabular field.
 
-4. Tabular fields provide **table, row and cell confidence** starting with the ```2024-02-29-preview``` API:
+Tabular fields provide **table, row and cell confidence** starting with the ```2024-02-29-preview``` API:
 
     * Fixed or dynamic tables add confidence support for the following elements:
       * Table confidence, a measure of how accurately the entire table is recognized.

articles/ai-services/document-intelligence/faq.yml

@@ -218,7 +218,7 @@ sections:
 
            - Your data must remain within a single machine. Use the [FOTT Sample Labeling tool](/azure/ai-services/document-intelligence/label-tool) and a [Document Intelligence container](/azure/ai-services/document-intelligence/containers/install-run).
 
-           - Your project is highly dependent on [Document Intelligence v2.1](/rest/api/aiservices/analyzer?view=rest-aiservices-v2.1 &preserve-view=true), and you want to keep using the v2.1 APIs.
+           - Your project is highly dependent on Document Intelligence V2.1, and you want to keep using the v2.1 APIs.
 
       - question: |
          Are there best practices to mitigate throttling?
@@ -292,7 +292,7 @@ sections:
       answer: |
         **Yes for the first 10 hours only.**
 
-        If training hours exceed 10 hours, the charge is $3/hour for further custom neural model training.
+        If training hours exceed 10 hours, charges incur for further custom neural model training.
 
 
   - name: Storage account

articles/ai-services/document-intelligence/how-to-guides/build-a-custom-model.md

@@ -56,7 +56,7 @@ The Document Intelligence Studio provides and orchestrates all the API calls req
 
 1. In the Studio, select the **Custom extraction model** tile and select the **Create a project** button.
 
-    :::image type="content" source="../media/how-to/studio_custom_createproject.png" alt-text="Screenshot of Create a project in the Document Intelligence Studio.":::
+    :::image type="content" source="../media/how-to/studio-custom-create-project.png" alt-text="Screenshot of Create a project in the Document Intelligence Studio.":::
 
     1. On the `create project` dialog, provide a name for your project, optionally a description, and select continue.
 
@@ -65,11 +65,11 @@ The Document Intelligence Studio provides and orchestrates all the API calls req
     > [!IMPORTANT]
     > Custom neural models are only available in a few regions. If you plan on training a neural model, please select or create a resource in one of [these supported regions](../concept-custom-neural.md#supported-regions).
 
-    :::image type="content" source="../media/how-to/studio_custom_configureresource.png" alt-text="Screenshot of Select the Document Intelligence resource.":::
+    :::image type="content" source="../media/how-to/studio-custom-configure-resource.png" alt-text="Screenshot of Select the Document Intelligence resource.":::
 
 1. Next select the storage account you used to upload your custom model training dataset. The **Folder path** should be empty if your training documents are in the root of the container. If your documents are in a subfolder, enter the relative path from the container root in the **Folder path** field. Once your storage account is configured, select continue.
 
-    :::image type="content" source="../media/how-to/studio_addtrainingsource.png" alt-text="Screenshot of Select the storage account.":::
+    :::image type="content" source="../media/how-to/studio-add-training-source.png" alt-text="Screenshot of Select the storage account.":::
 
 1. Finally, review your project settings and select **Create Project** to create a new project. You should now be in the labeling window and see the files in your dataset listed.
 
@@ -81,7 +81,7 @@ The files you uploaded to storage are listed on the left of your screen, with th
 
 1. Start labeling your dataset and creating your first field by selecting the plus (➕) button on the top-right of the screen.
 
-    :::image type="content" source="../media/how-to/studio_addfield.png" alt-text="Screenshot of Create a label.":::
+    :::image type="content" source="../media/how-to/studio-addfield.png" alt-text="Screenshot of Create a label.":::
 
 1. Enter a name for the field.
 

articles/ai-services/document-intelligence/how-to-guides/project-share-custom-models.md

@@ -32,7 +32,7 @@ Document Intelligence Studio is an online tool to visually explore, understand,
 
 ## Prerequisite
 
-In order to share and import your custom projects seamlessly, both users (user who shares and user who imports) need an An active [**Azure account**](https://azure.microsoft.com/free/cognitive-services/). If you don't have one, you can [**create a free account**](https://azure.microsoft.com/free/). Also, both users need to configure permissions to grant access to the Document Intelligence and storage resources.
+In order to share and import your custom projects seamlessly, both users (user who shares and user who imports) need an active [**Azure account**](https://azure.microsoft.com/free/cognitive-services/). If you don't have one, you can [**create a free account**](https://azure.microsoft.com/free/). Also, both users need to configure permissions to grant access to the Document Intelligence and storage resources.
 
 Generally, in the process of creating a custom model project, most of the requirements should be met for project sharing. However, in cases where the project sharing feature doesn't work, check [permissions](#granted-access-and-permissions).
 

articles/ai-services/document-intelligence/overview.md

@@ -111,11 +111,11 @@ Prebuilt models enable you to add intelligent document processing to your apps a
     [**Check**](#check) | Extract relevant information from checks.
    :::column-end:::
    :::column span="":::
-      :::image type="icon" source="media/overview/icon-paystub.png" link="#pay-stub":::</br>
+      :::image type="icon" source="media/overview/icon-pay-stub.png" link="#pay-stub":::</br>
     [**Pay Stub**](#pay-stub) | Extract pay stub details.
    :::column-end:::
    :::column span="":::
-      :::image type="icon" source="media/overview/icon-id-bankstatement.png" link="#bank-statement":::</br>
+      :::image type="icon" source="media/overview/icon-id-bank-statement.png" link="#bank-statement":::</br>
     [**Bank Statement**](#bank-statement) | Extract account information and details from bank statements.
    :::column-end:::
 :::row-end:::