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articles/applied-ai-services/form-recognizer/quickstarts/try-v3-csharp-sdk.md

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@@ -168,7 +168,6 @@ Analyze and extract text, tables, structure, key-value pairs, and named entities
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> * For this example, you'll need a **form document file from a URI**. 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) for this quickstart.
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> * To analyze a given file at a URI, you'll use the `StartAnalyzeDocumentFromUri` method and pass `prebuilt-document` as the model ID. The returned value is an `AnalyzeResult` object containing data about the submitted document.
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> * We've added the file URI value to the `Uri fileUri` variable at the top of the script.
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> * For simplicity, all the entity fields that the service returns are not shown here. To see the list of all supported fields and corresponding types, see the [General document](../concept-general-document.md#named-entity-recognition-ner-categories) concept page.
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**Add the following code sample to the Program.cs file. Make sure you update the key and endpoint variables with values from your Azure portal Form Recognizer instance:**
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articles/applied-ai-services/form-recognizer/quickstarts/try-v3-java-sdk.md

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> * For this example, you'll need a **form document file at a URI**. 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) for this quickstart.
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> * To analyze a given file at a URI, you'll use the `beginAnalyzeDocumentFromUrl` method and pass `prebuilt-document` as the model Id. The returned value is an `AnalyzeResult` object containing data about the submitted document.
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> * We've added the file URI value to the `documentUrl` variable in the main method.
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> * For simplicity, all the entity fields that the service returns are not shown here. To see the list of all supported fields and corresponding types, see our [General document](../concept-general-document.md#named-entity-recognition-ner-categories) concept page.
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**Add the following code sample to the `FormRecognizer.java` file. Make sure you update the key and endpoint variables with values from your Azure portal Form Recognizer instance:**
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articles/applied-ai-services/form-recognizer/quickstarts/try-v3-javascript-sdk.md

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> * For this example, you'll need a **form document file from a URL**. 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) for this quickstart.
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> * To analyze a given file from a URL, you'll use the `beginAnalyzeDocuments` method and pass in `prebuilt-document` as the model Id.
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> * We've added the file URL value to the `formUrl` variable near the top of the file.
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> * To see the list of all supported fields and corresponding types, see our [General document](../concept-general-document.md#named-entity-recognition-ner-categories) concept page.
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**Add the following code sample to the `index.js` file. Make sure you update the key and endpoint variables with values from your Azure portal Form Recognizer instance:**
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articles/applied-ai-services/form-recognizer/quickstarts/try-v3-python-sdk.md

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> * For this example, you'll need a **form document file from a URL**. 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) for this quickstart.
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> * To analyze a given file at a URL, you'll use the `begin_analyze_document_from_url` method and pass in `prebuilt-document` as the model Id. The returned value is a `result` object containing data about the submitted document.
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> * We've added the file URL value to the `docUrl` variable in the `analyze_general_documents` function.
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> * For simplicity, all the entity fields that the service returns are not shown here. To see the list of all supported fields and corresponding types, see our [General document](../concept-general-document.md#named-entity-recognition-ner-categories) concept page.
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<!-- markdownlint-disable MD036 -->
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**Add the following code sample to your form_recognizer_quickstart.py application. Make sure you update the key and endpoint variables with values from your Azure portal Form Recognizer instance:**

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