update headings

laujan · laujan · commit 491d6d554415 · 2021-10-24T07:54:30.000-07:00
diff --git a/articles/applied-ai-services/form-recognizer/concept-business-card.md b/articles/applied-ai-services/form-recognizer/concept-business-card.md
@@ -21,7 +21,7 @@ The business card model combines powerful Optical Character Recognition (OCR) ca
 
 :::image type="content" source="./media/studio/overview-business-card-studio.png" alt-text="sample business card" lightbox="./media/overview-business-card.jpg":::
 
-## Try Form Recognizer
+### Try Form Recognizer
 
 See how data, including name, job title, address, email, and company name, is extracted from business cards using the Form Recognizer Studio or our Sample Labeling tool. You'll need the following:
 
@@ -31,7 +31,7 @@ See how data, including name, job title, address, email, and company name, is ex
 
  :::image type="content" source="media/containers/keys-and-endpoint.png" alt-text="Screenshot: keys and endpoint location in the Azure portal.":::
 
-### Form Recognizer Studio (preview)
+#### Form Recognizer Studio (preview)
 
 > [!NOTE]
 > Form Recognizer studio is available with the preview (v3.0) API.
@@ -47,7 +47,7 @@ See how data, including name, job title, address, email, and company name, is ex
     > [!div class="nextstepaction"]
     > [Try Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=businessCard)
 
-### Sample Labeling tool
+#### Sample Labeling tool
 
 You will need a business card document. You can use our [sample business card document](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/businessCard.png).
 
diff --git a/articles/applied-ai-services/form-recognizer/concept-custom.md b/articles/applied-ai-services/form-recognizer/concept-custom.md
@@ -30,7 +30,7 @@ A custom model is a machine learning program trained to recognize form fields wi
 
 With composed models, you can assign multiple custom models to a composed model called with a single model ID. It is useful when you have trained several models and want to group them to analyze similar form types. For example, your composed model may include custom models trained to analyze your supply, equipment, and furniture purchase orders. Instead of manually trying to select the appropriate model, you can use a composed model to determine the appropriate custom model for each analysis and extraction.
 
-## Try Form Recognizer
+### Try Form Recognizer
 
 See how data is extracted from  your specific or unique documents using custom models. You'll need the following:
 
@@ -40,7 +40,7 @@ See how data is extracted from  your specific or unique documents using custom m
 
  :::image type="content" source="media/containers/keys-and-endpoint.png" alt-text="Screenshot: keys and endpoint location in the Azure portal.":::
 
-### Form Recognizer Studio (preview)
+#### Form Recognizer Studio (preview)
 
 > [!NOTE]
 > Form Recognizer studio is available with the preview (v3.0) API.
@@ -62,7 +62,7 @@ See how data is extracted from  your specific or unique documents using custom m
     > [!div class="nextstepaction"]
     > [Try Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/customform/projects)
 
-### Sample Labeling tool
+#### Sample Labeling tool
 
 You'll need a set of at least six forms of the same type. You'll use this data to train the model and test a form. You can use our [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451). Download  and extract the *sample_data.zip*, then upload the contents to your Azure Blob Storage container.
 
diff --git a/articles/applied-ai-services/form-recognizer/concept-general-document.md b/articles/applied-ai-services/form-recognizer/concept-general-document.md
@@ -13,7 +13,7 @@ recommendations: false
 ---
 <!-- markdownlint-disable MD033 -->
 
-  # Form Recognizer general document model (preview))
+# Form Recognizer general document model (preview))
 
 The General document preview model combines powerful Optical Character Recognition (OCR) capabilities with deep learning models to extract key-value pairs and entities from documents. General document is only available with the preview (v3.0) API.  For more information on using the preview (v3.0) API, see our [migration guide](v3-migration-guide.md).
 
@@ -23,7 +23,7 @@ The general document API supports most form types and will analyze your document
 
 :::image type="content" source="media/studio/general-document-analyze.png" alt-text="Screenshot: general document analysis in the Form Recognizer Studio.":::
 
-## Try Form Recognizer
+### Try Form Recognizer
 
 See how data, including tables, values, and entities, is extracted from forms and documents using the Form Recognizer Studio or our Sample Labeling tool. You'll need the following:
 
@@ -33,7 +33,7 @@ See how data, including tables, values, and entities, is extracted from forms an
 
  :::image type="content" source="media/containers/keys-and-endpoint.png" alt-text="Screenshot: keys and endpoint location in the Azure portal.":::
 
-### Form Recognizer Studio (preview)
+#### Form Recognizer Studio (preview)
 
 > [!NOTE]
 > Form Recognizer studio and the general document model are available with the preview (v3.0) API.
diff --git a/articles/applied-ai-services/form-recognizer/concept-id-document.md b/articles/applied-ai-services/form-recognizer/concept-id-document.md
@@ -21,7 +21,7 @@ The ID document model combines powerful Optical Character Recognition (OCR) capa
 
 :::image type="content" source="./media/studio/drivers-license.png" alt-text="sample identification card" lightbox="./media/overview-id.jpg":::
 
-## Try Form Recognizer
+### Try Form Recognizer
 
 See how data, including name, birth date, machine-readable zone, and expiration date, is extracted from ID documents using the Form Recognizer Studio or our Sample Labeling tool. You'll need the following:
 
@@ -31,7 +31,7 @@ See how data, including name, birth date, machine-readable zone, and expiration
 
  :::image type="content" source="media/containers/keys-and-endpoint.png" alt-text="Screenshot: keys and endpoint location in the Azure portal.":::
 
-### Form Recognizer Studio (preview)
+#### Form Recognizer Studio (preview)
 
 > [!NOTE]
 > Form Recognizer studio is available with the preview (v3.0) API.
@@ -47,7 +47,7 @@ See how data, including name, birth date, machine-readable zone, and expiration
     > [!div class="nextstepaction"]
     > [Try Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=idDocument)
 
-### Sample Labeling tool
+#### Sample Labeling tool
 
 You will need an ID document. You can use our [sample ID document](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/DriverLicense.png).
 
diff --git a/articles/applied-ai-services/form-recognizer/concept-invoice.md b/articles/applied-ai-services/form-recognizer/concept-invoice.md
@@ -21,7 +21,7 @@ recommendations: false
 
 :::image type="content" source="media/studio/overview-invoices.png" alt-text="sample invoice" lightbox="media/overview-invoices-big.jpg":::
 
-## Try Form Recognizer
+### Try Form Recognizer
 
 See how data, including customer information, vendor details, and line items, is extracted from invoices using  the Form Recognizer Studio or our Sample Labeling tool. You'll need the following:
 
@@ -31,7 +31,7 @@ See how data, including customer information, vendor details, and line items, is
 
  :::image type="content" source="media/containers/keys-and-endpoint.png" alt-text="Screenshot: keys and endpoint location in the Azure portal.":::
 
-### Form Recognizer Studio (preview)
+#### Form Recognizer Studio (preview)
 
 1. On the Form Recognizer Studio home page, select **Invoices**
 
@@ -44,7 +44,7 @@ See how data, including customer information, vendor details, and line items, is
 > [!div class="nextstepaction"]
 > [Try Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=invoice)
 
-### Sample Labeling tool
+#### Sample Labeling tool
 
 You will need an invoice document. You can use our [sample invoice document](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/sample-invoice.pdf).
 
diff --git a/articles/applied-ai-services/form-recognizer/concept-layout.md b/articles/applied-ai-services/form-recognizer/concept-layout.md
@@ -26,7 +26,7 @@ Azure the Form Recognizer Layout API extracts text, tables, selection marks, and
 | --- | --- | --- | --- |
 | Layout  | ✓  | ✓  | ✓  |
 
-## Try Form Recognizer
+### Try Form Recognizer
 
 See how data, including tables, check boxes, and text, is extracted from forms and documents using the Form Recognizer Studio or our Sample Labeling tool. You'll need the following:
 
@@ -36,7 +36,7 @@ See how data, including tables, check boxes, and text, is extracted from forms a
 
  :::image type="content" source="media/containers/keys-and-endpoint.png" alt-text="Screenshot: keys and endpoint location in the Azure portal.":::
 
-### Form Recognizer Studio (preview)
+#### Form Recognizer Studio (preview)
 
 > [!NOTE]
 > Form Recognizer studio is available with the preview (v3.0) API.
@@ -56,7 +56,7 @@ See how data, including tables, check boxes, and text, is extracted from forms a
    > [!div class="nextstepaction"]
    > [Try Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/layout)
 
-### Sample Labeling tool
+#### Sample Labeling tool
 
 You'll need a form document. You can use our [sample form document](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/sample-layout.pdf).
 
diff --git a/articles/applied-ai-services/form-recognizer/concept-receipt.md b/articles/applied-ai-services/form-recognizer/concept-receipt.md
@@ -21,7 +21,7 @@ The receipt model combines powerful Optical Character Recognition (OCR) capabili
 
 :::image type="content" source="media/studio/overview-receipt.png" alt-text="sample receipt" lightbox="./media/overview-receipt.jpg":::
 
-## Try Form Recognizer
+### Try Form Recognizer
 
 See how data, including time and date of transactions, merchant information, and amount totals, is extracted from receipts using the Form Recognizer Studio or our Sample Labeling tool. You'll need the following:
 
@@ -31,7 +31,7 @@ See how data, including time and date of transactions, merchant information, and
 
  :::image type="content" source="media/containers/keys-and-endpoint.png" alt-text="Screenshot: keys and endpoint location in the Azure portal.":::
 
-### Form Recognizer Studio (preview)
+#### Form Recognizer Studio (preview)
 
 > [!NOTE]
 > Form Recognizer studio is available with the preview (v3.0) API.
@@ -47,7 +47,7 @@ See how data, including time and date of transactions, merchant information, and
     > [!div class="nextstepaction"]
     > [Try Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/prebuilt?formType=receipt)
 
-## Sample Labeling tool
+#### Sample Labeling tool
 
 You will need a receipt document. You can use our [sample receipt document](https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/contoso-receipt.png).
 
