[formrecognizer] Improve URL related doc strings

sdk/formrecognizer/azure-ai-formrecognizer/MIGRATION_GUIDE.md

@@ -666,4 +666,4 @@ For additional samples please take a look at the [Form Recognizer Samples][sampl
 
 [readme]: https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/formrecognizer/azure-ai-formrecognizer/README.md
 [samples_readme]: https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/formrecognizer/azure-ai-formrecognizer/samples/README.md
-[fr_labeling_tool]: https://aka.ms/azsdk/formrecognizer/labelingtool
+[fr_labeling_tool]: https://aka.ms/azsdk/formrecognizer/formrecognizerstudio

sdk/formrecognizer/azure-ai-formrecognizer/README.md

@@ -181,7 +181,7 @@ More information about analyzing documents, including supported features, locale
 - Listing document model operations or getting a specific model operation created within the last 24 hours.
 - Copying a custom model from one Form Recognizer resource to another.
 
-Please note that models can also be built using a graphical user interface such as the [Form Recognizer Labeling Tool][labeling-tool].
+Please note that models can also be built using a graphical user interface such as [Form Recognizer Studio][fr-studio].
 
 Sample code snippets are provided to illustrate using a DocumentModelAdministrationClient [here](#examples "Examples").
 
@@ -360,6 +360,8 @@ for page in result.pages:
         )
 ```
 
+- Read more about the features provided by the `prebuilt-document` model [here][service_prebuilt_document].
+
 ### Using Prebuilt Models
 Extract fields from select document types such as receipts, invoices, business cards, and identity documents using prebuilt models provided by the Form Recognizer service.
 
@@ -597,6 +599,7 @@ This project has adopted the [Microsoft Open Source Code of Conduct][code_of_con
 [cognitive_resource_cli]: https://docs.microsoft.com/azure/cognitive-services/cognitive-services-apis-create-account-cli?tabs=windows
 [azure-key-credential]: https://aka.ms/azsdk/python/core/azurekeycredential
 [labeling-tool]: https://aka.ms/azsdk/formrecognizer/labelingtool
+[fr-studio]: https://aka.ms/azsdk/formrecognizer/formrecognizerstudio
 [fr-build-model]: https://aka.ms/azsdk/formrecognizer/buildmodel
 [fr-build-training-set]: https://aka.ms/azsdk/formrecognizer/buildtrainingset
 [fr-models]: https://aka.ms/azsdk/formrecognizer/models
@@ -617,6 +620,7 @@ This project has adopted the [Microsoft Open Source Code of Conduct][code_of_con
 [service_recognize_business_cards]: https://aka.ms/azsdk/formrecognizer/businesscardfieldschema
 [service_recognize_invoice]: https://aka.ms/azsdk/formrecognizer/invoicefieldschema
 [service_recognize_identity_documents]: https://aka.ms/azsdk/formrecognizer/iddocumentfieldschema
+[service_prebuilt_document]: https://docs.microsoft.com/azure/applied-ai-services/form-recognizer/concept-general-document#general-document-features
 [sdk_logging_docs]: https://docs.microsoft.com/azure/developer/python/azure-sdk-logging
 [sample_readme]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/formrecognizer/azure-ai-formrecognizer/samples
 [changelog]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/formrecognizer/azure-ai-formrecognizer/CHANGELOG.md

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/_document_analysis_client.py

@@ -144,8 +144,8 @@ def begin_analyze_document_from_url(self, model, document_url, **kwargs):
         :param str model: A unique model identifier can be passed in as a string.
             Use this to specify the custom model ID or prebuilt model ID. Prebuilt model IDs supported
             can be found here: https://aka.ms/azsdk/formrecognizer/models
-        :param str document_url: The URL of the document to analyze. The input must be a valid, encoded, and
-            publicly accessible URL of one of the supported formats: JPEG, PNG, PDF, TIFF, or BMP.
+        :param str document_url: The URL of the document to analyze. The input must be a valid, properly encoded,
+            and publicly accessible URL of one of the supported formats: JPEG, PNG, PDF, TIFF, or BMP.
         :keyword str pages: Custom page numbers for multi-page documents(PDF/TIFF). Input the page numbers
             and/or ranges of pages you want to get in the result. For a range of pages, use a hyphen, like
             `pages="1-3, 5-6"`. Separate each page number or range with a comma.

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/aio/_document_analysis_client_async.py

@@ -151,8 +151,8 @@ async def begin_analyze_document_from_url(
         :param str model: A unique model identifier can be passed in as a string.
             Use this to specify the custom model ID or prebuilt model ID. Prebuilt model IDs supported
             can be found here: https://aka.ms/azsdk/formrecognizer/models
-        :param str document_url: The URL of the document to analyze. The input must be a valid, encoded, and
-            publicly accessible URL of one of the supported formats: JPEG, PNG, PDF, TIFF, or BMP.
+        :param str document_url: The URL of the document to analyze. The input must be a valid, properly encoded,
+            and publicly accessible URL of one of the supported formats: JPEG, PNG, PDF, TIFF, or BMP.
         :keyword str pages: Custom page numbers for multi-page documents(PDF/TIFF). Input the page numbers
             and/or ranges of pages you want to get in the result. For a range of pages, use a hyphen, like
             `pages="1-3, 5-6"`. Separate each page number or range with a comma.