Merge pull request #103332 from PatrickFarley/formre-remove-gate

v-shils · web-flow · commit 6313233d8beb · 2020-02-10T10:17:22.000-08:00
[Cog Svcs] remove gate instructions
diff --git a/articles/cognitive-services/form-recognizer/includes/create-resource.md b/articles/cognitive-services/form-recognizer/includes/create-resource.md
@@ -7,7 +7,7 @@ ms.date: 06/12/2019
 ms.author: pafarley
 ---
 
-When you're granted access to use Form Recognizer, you'll receive a Welcome email with several links and resources. Use the "Azure portal" link in that message to open the Azure portal and create a Form Recognizer resource. In the **Create** pane, provide the following information:
+Go to the Azure Portal and [create a new Form Recognizer resource](https://ms.portal.azure.com/#create/Microsoft.CognitiveServicesFormRecognizer). In the **Create** pane, provide the following information:
 
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diff --git a/articles/cognitive-services/form-recognizer/overview.md b/articles/cognitive-services/form-recognizer/overview.md
@@ -48,17 +48,9 @@ Form Recognizer also includes a model for reading English sales receipts from th
 
 Form Recognizer can also extract text and table structure (the row and column numbers associated with the text) using high-definition optical character recognition (OCR). 
 
-## Where do I start?
+## Get started
 
-**Step 1:** Request access:
-
-Form Recognizer is available in a limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form. The form requests information about you, your company, and the scenario in which you'll use Form Recognizer.
-
-**Step 2:** Create a Form Recognizer resource in the Azure portal:
-
-When you're granted access to use Form Recognizer, you'll receive a Welcome email with several links and resources. Use the "Azure portal" link in that message to open the Azure portal and create a Form Recognizer resource.
-
-**Step 3:** Extract data from your forms:
+Follow a quickstart to get started extracting data from your forms. We recommend that you use the free service when you're learning the technology. Remember that the number of free pages is limited to 500 per month.
 
 * Custom - train a model to your forms
   * Train without labels
@@ -73,9 +65,7 @@ When you're granted access to use Form Recognizer, you'll receive a Welcome emai
 * Layout - extract text and table structure from forms
   * [Quickstart: Extract layout data using Python](quickstarts/python-layout.md)
 
-We recommend that you use the free service when you're learning the technology. Remember that the number of free pages is limited to 500 per month.
-
-**Step 4:** Review the REST APIs:
+### Review the REST APIs
 
 You'll use the following APIs to train models and extract structured data from forms.
 
diff --git a/articles/cognitive-services/form-recognizer/quickstarts/curl-receipts.md b/articles/cognitive-services/form-recognizer/quickstarts/curl-receipts.md
@@ -22,7 +22,6 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 ## Prerequisites
 
 To complete this quickstart, you must have:
-- Access to the Form Recognizer limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form.
 - [cURL](https://curl.haxx.se/windows/) installed.
 - A URL for an image of a receipt. You can use a [sample image](https://github.com/Azure-Samples/cognitive-services-REST-api-samples/blob/master/curl/form-recognizer/contoso-allinone.jpg?raw=true) for this quickstart.
 
diff --git a/articles/cognitive-services/form-recognizer/quickstarts/curl-train-extract.md b/articles/cognitive-services/form-recognizer/quickstarts/curl-train-extract.md
@@ -22,7 +22,6 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 ## Prerequisites
 
 To complete this quickstart, you must have:
-- Access to the Form Recognizer limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form.
 - [cURL](https://curl.haxx.se/windows/) installed.
 - A set of at least six forms of the same type. You will use five of these to train the model, and then you'll test it with the sixth form. Your forms can be of different file types but must be the same type of document. You can use a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the training files to the root of a blob storage container in an Azure Storage account. You can put the testing files in a separate folder.
 
diff --git a/articles/cognitive-services/form-recognizer/quickstarts/dotnet-sdk.md b/articles/cognitive-services/form-recognizer/quickstarts/dotnet-sdk.md
@@ -28,7 +28,6 @@ Use the Form Recognizer client library for .NET to:
 ## Prerequisites
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/).
-* Access to the Form Recognizer limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form.
 * An Azure Storage blob that contains a set of training data. See [Build a training data set for a custom model](../build-training-data-set.md) for tips and options for putting together your training data. For this quickstart, you can use the files under the **Train** folder of the [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451).
 * The current version of [.NET Core](https://dotnet.microsoft.com/download/dotnet-core).
 
diff --git a/articles/cognitive-services/form-recognizer/quickstarts/label-tool.md b/articles/cognitive-services/form-recognizer/quickstarts/label-tool.md
@@ -21,7 +21,7 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 ## Prerequisites
 
 To complete this quickstart, you must have:
-- Access to the Form Recognizer limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request form](https://aka.ms/FormRecognizerRequestAccess). You'll receive an email with a link to create a Form Recognizer resource.
+
 - 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 a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the training files to the root of a blob storage container in an Azure Storage account.
 
 ## Set up the sample labeling tool
diff --git a/articles/cognitive-services/form-recognizer/quickstarts/python-labeled-data.md b/articles/cognitive-services/form-recognizer/quickstarts/python-labeled-data.md
@@ -22,7 +22,6 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 ## Prerequisites
 
 To complete this quickstart, you must have:
-- Access to the Form Recognizer limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form.
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
 - A set of at least six forms of the same type. You will use this data to train the model and test a form. You can use a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the training files to the root of a blob storage container in an Azure Storage account.
 
diff --git a/articles/cognitive-services/form-recognizer/quickstarts/python-layout.md b/articles/cognitive-services/form-recognizer/quickstarts/python-layout.md
@@ -21,7 +21,6 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 ## Prerequisites
 
 To complete this quickstart, you must have:
-- Access to the Form Recognizer limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form.
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
 - A form document. You can download an image from the [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart.
 
diff --git a/articles/cognitive-services/form-recognizer/quickstarts/python-receipts.md b/articles/cognitive-services/form-recognizer/quickstarts/python-receipts.md
@@ -22,7 +22,6 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 ## Prerequisites
 
 To complete this quickstart, you must have:
-- Access to the Form Recognizer limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form.
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
 - A URL for an image of a receipt. You can use a [sample image](https://github.com/Azure-Samples/cognitive-services-REST-api-samples/blob/master/curl/form-recognizer/contoso-allinone.jpg?raw=true) for this quickstart.
 
diff --git a/articles/cognitive-services/form-recognizer/quickstarts/python-train-extract.md b/articles/cognitive-services/form-recognizer/quickstarts/python-train-extract.md
@@ -22,7 +22,6 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 ## Prerequisites
 
 To complete this quickstart, you must have:
-- Access to the Form Recognizer limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form.
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
 - A set of at least five forms of the same type. You will use this data to train the model. Your forms can be of different file types but must be the same type of document. You can use a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the training files to the root of a blob storage container in an Azure Storage account.
 
diff --git a/articles/cognitive-services/form-recognizer/tutorial-form-recognizer-with-logic-apps.md b/articles/cognitive-services/form-recognizer/tutorial-form-recognizer-with-logic-apps.md
@@ -30,10 +30,6 @@ Here's what this tutorial covers:
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/).
 
-## Request access for Form Recognizer
-
-Form Recognizer is available in a limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form. Once your request is approved by the Azure Cognitive Services team, you'll receive an email with instructions for accessing the service.
-
 ## Understand the invoice to be analyzed
 
 The sample data set that you'll use to train and test the model is available as a .zip file from [GitHub](https://go.microsoft.com/fwlink/?linkid=2090451). Download and extract the .zip file and open an invoice PDF file under the **/Train** folder. Notice that it has a table with the invoice number, invoice date, and so on. 
