diff --git a/sdk/formrecognizer/azure-ai-formrecognizer/README.md b/sdk/formrecognizer/azure-ai-formrecognizer/README.md
index b461e9d3fa5d..f28f61afb2ec 100644
--- a/sdk/formrecognizer/azure-ai-formrecognizer/README.md
+++ b/sdk/formrecognizer/azure-ai-formrecognizer/README.md
@@ -11,7 +11,7 @@ from form documents. It includes the following main functionalities:
     * Invoice model - Recognize data from invoices using a prebuilt model.
     * Identity document model - Recognize data from identity documents using a prebuilt model.
 
-[Source code][python-fr-src] | [Package (PyPI)][python-fr-pypi] | [API reference documentation][python-fr-ref-docs]| [Product documentation][python-fr-product-docs] | [Samples][python-fr-samples]
+[Source code][python-fr-src] | [Package (PyPI)][python-fr-pypi] | [API reference documentation][python-fr-ref-docs] | [Product documentation][python-fr-product-docs] | [Samples][python-fr-samples]
 
 ## Getting started
 
@@ -472,8 +472,6 @@ This project has adopted the [Microsoft Open Source Code of Conduct][code_of_con
 [python-fr-product-docs]: https://docs.microsoft.com/azure/cognitive-services/form-recognizer/overview
 [python-fr-ref-docs]: https://aka.ms/azsdk/python/formrecognizer/docs
 [python-fr-samples]: https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/formrecognizer/azure-ai-formrecognizer/samples
-[train-a-model-using-labeled-data]: https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/python-labeled-data#train-a-model-using-labeled-data
-
 
 [training_data]: https://docs.microsoft.com/azure/cognitive-services/form-recognizer/build-training-data-set
 [azure_subscription]: https://azure.microsoft.com/free/
diff --git a/sdk/formrecognizer/azure-ai-formrecognizer/samples/async_samples/sample_train_model_with_labels_async.py b/sdk/formrecognizer/azure-ai-formrecognizer/samples/async_samples/sample_train_model_with_labels_async.py
index 0d69c2d90a44..635a4bd1aa06 100644
--- a/sdk/formrecognizer/azure-ai-formrecognizer/samples/async_samples/sample_train_model_with_labels_async.py
+++ b/sdk/formrecognizer/azure-ai-formrecognizer/samples/async_samples/sample_train_model_with_labels_async.py
@@ -14,12 +14,12 @@
     forms found in https://aka.ms/azsdk/formrecognizer/sampletrainingfiles
 
     Upload the forms to your storage container and then generate a container SAS URL using these instructions:
-    https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/python-labeled-data#train-a-model-using-labeled-data
+    https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/get-started-with-form-recognizer#train--analyze-a-custom-form
     More details on setting up a container and required file structure can be found here:
     https://docs.microsoft.com/azure/cognitive-services/form-recognizer/build-training-data-set
 
     To see how to label your documents, you can use the service's labeling tool to label your documents:
-    https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/label-tool. Follow the
+    https://docs.microsoft.com/azure/cognitive-services/form-recognizer/label-tool?tabs=v2-1. Follow the
     instructions to store these labeled files in your blob container with the other form files.
     See sample_recognize_custom_forms_async.py to recognize forms with your custom model.
 
@@ -30,7 +30,7 @@
     1) AZURE_FORM_RECOGNIZER_ENDPOINT - the endpoint to your Cognitive Services resource.
     2) AZURE_FORM_RECOGNIZER_KEY - your Form Recognizer API key
     3) CONTAINER_SAS_URL - The shared access signature (SAS) Url of your Azure Blob Storage container with your labeled data.
-        See https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/python-labeled-data#train-a-model-using-labeled-data
+        See https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/get-started-with-form-recognizer#train--analyze-a-custom-form
         for more detailed descriptions on how to get it.
 """
 
diff --git a/sdk/formrecognizer/azure-ai-formrecognizer/samples/async_samples/sample_train_model_without_labels_async.py b/sdk/formrecognizer/azure-ai-formrecognizer/samples/async_samples/sample_train_model_without_labels_async.py
index a442589cfe94..2fce36d844a0 100644
--- a/sdk/formrecognizer/azure-ai-formrecognizer/samples/async_samples/sample_train_model_without_labels_async.py
+++ b/sdk/formrecognizer/azure-ai-formrecognizer/samples/async_samples/sample_train_model_without_labels_async.py
@@ -14,7 +14,7 @@
     forms found in https://aka.ms/azsdk/formrecognizer/sampletrainingfiles
 
     Upload the forms to your storage container and then generate a container SAS URL using these instructions:
-    https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/python-labeled-data#train-a-model-using-labeled-data
+    https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/get-started-with-form-recognizer#train--analyze-a-custom-form
     More details on setting up a container and required file structure can be found here:
     https://docs.microsoft.com/azure/cognitive-services/form-recognizer/build-training-data-set
 
@@ -27,7 +27,7 @@
     1) AZURE_FORM_RECOGNIZER_ENDPOINT - the endpoint to your Cognitive Services resource.
     2) AZURE_FORM_RECOGNIZER_KEY - your Form Recognizer API key
     3) CONTAINER_SAS_URL - The shared access signature (SAS) Url of your Azure Blob Storage container with your forms.
-        See https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/label-tool#connect-to-the-sample-labeling-tool
+        See https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/get-started-with-form-recognizer#train--analyze-a-custom-form
         for more detailed descriptions on how to get it.
 """
 
diff --git a/sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_train_model_with_labels.py b/sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_train_model_with_labels.py
index d009a73a1534..1d6c072bd104 100644
--- a/sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_train_model_with_labels.py
+++ b/sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_train_model_with_labels.py
@@ -14,12 +14,12 @@
     forms found in https://aka.ms/azsdk/formrecognizer/sampletrainingfiles
 
     Upload the forms to your storage container and then generate a container SAS URL using these instructions:
-    https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/python-labeled-data#train-a-model-using-labeled-data
+    https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/get-started-with-form-recognizer#train--analyze-a-custom-form
     More details on setting up a container and required file structure can be found here:
     https://docs.microsoft.com/azure/cognitive-services/form-recognizer/build-training-data-set
 
     To see how to label your documents, you can use the service's labeling tool to label your documents:
-    https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/label-tool. Follow the
+    https://docs.microsoft.com/azure/cognitive-services/form-recognizer/label-tool?tabs=v2-1. Follow the
     instructions to store these labeled files in your blob container with the other form files.
     See sample_recognize_custom_forms.py to recognize forms with your custom model.
 
@@ -30,7 +30,7 @@
     1) AZURE_FORM_RECOGNIZER_ENDPOINT - the endpoint to your Cognitive Services resource.
     2) AZURE_FORM_RECOGNIZER_KEY - your Form Recognizer API key
     3) CONTAINER_SAS_URL - The shared access signature (SAS) Url of your Azure Blob Storage container with your labeled data.
-        See https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/python-labeled-data#train-a-model-using-labeled-data
+        See https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/get-started-with-form-recognizer#train--analyze-a-custom-form
         for more detailed descriptions on how to get it.
 """
 
diff --git a/sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_train_model_without_labels.py b/sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_train_model_without_labels.py
index cc566be6e51a..026116ec3b27 100644
--- a/sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_train_model_without_labels.py
+++ b/sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_train_model_without_labels.py
@@ -14,7 +14,7 @@
     forms found in https://aka.ms/azsdk/formrecognizer/sampletrainingfiles
 
     Upload the forms to your storage container and then generate a container SAS URL using these instructions:
-    https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/python-labeled-data#train-a-model-using-labeled-data
+    https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/get-started-with-form-recognizer#train--analyze-a-custom-form
     More details on setting up a container and required file structure can be found here:
     https://docs.microsoft.com/azure/cognitive-services/form-recognizer/build-training-data-set
 
@@ -27,7 +27,7 @@
     1) AZURE_FORM_RECOGNIZER_ENDPOINT - the endpoint to your Cognitive Services resource.
     2) AZURE_FORM_RECOGNIZER_KEY - your Form Recognizer API key
     3) CONTAINER_SAS_URL - The shared access signature (SAS) Url of your Azure Blob Storage container with your forms.
-        See https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/label-tool#connect-to-the-sample-labeling-tool
+        See https://docs.microsoft.com/azure/cognitive-services/form-recognizer/quickstarts/get-started-with-form-recognizer#train--analyze-a-custom-form
         for more detailed descriptions on how to get it.
 """