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Merge pull request #118 from papabearyang2/wayneyang/add-code-sample-for-4.0GA
Add python/C# code sample for 4.0 GA
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‎.NET(v4.0)/CodeSnippetForApiVer_2024-11-30/CodeSnippetForApiVer_2024-11-30.csproj‎

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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFramework>net8.0</TargetFramework>
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<RootNamespace>CodeSnippetForApiVer_2024-11-30</RootNamespace>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Azure.AI.DocumentIntelligence" Version="1.0.0" />
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</ItemGroup>
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</Project>

‎.NET(v4.0)/CodeSnippetForApiVer_2024-11-30/Custom models/Custom_extraction_model.cs‎

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// #define RUN_AS_ENTRY_OF_TOP_LEVEL_STATEMENT
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#if RUN_AS_ENTRY_OF_TOP_LEVEL_STATEMENT
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/*
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This code sample shows Custom Model operations with the Azure AI Document Intelligence client library.
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To learn more, please visit the documentation - Quickstart: Document Intelligence (formerly Form Recognizer) SDKs
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https://learn.microsoft.com/azure/ai-services/document-intelligence/quickstarts/get-started-sdks-rest-api?pivots=programming-language-csharp
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*/
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using Azure;
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using Azure.AI.DocumentIntelligence;
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/*
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Remember to remove the key from your code when you're done, and never post it publicly. For production, use
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secure methods to store and access your credentials. For more information, see
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https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-security?tabs=command-line%2Ccsharp#environment-variables-and-application-configuration
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*/
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string endpoint = Environment.GetEnvironmentVariable("DOCUMENTINTELLIGENCE_ENDPOINT") ?? string.Empty;
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string key = Environment.GetEnvironmentVariable("DOCUMENTINTELLIGENCE_API_KEY") ?? string.Empty;
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string modelId = Environment.GetEnvironmentVariable("CUSTOM_BUILT_MODEL_ID") ?? string.Empty;
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if (string.IsNullOrEmpty(endpoint) || string.IsNullOrEmpty(key) || string.IsNullOrEmpty(modelId))
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{
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Console.WriteLine("Please set the environment variables for the endpoint, key, and model ID.");
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return;
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}
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string documentUri = "YOUR_FILE_URI"; // Replace with the URI of the document you want to analyze
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AzureKeyCredential credential = new AzureKeyCredential(key);
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DocumentIntelligenceClient client = new DocumentIntelligenceClient(new Uri(endpoint), credential);
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Uri fileUri = new Uri(documentUri);
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Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync(WaitUntil.Completed, modelId, fileUri);
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AnalyzeResult result = operation.Value;
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Console.WriteLine($"Document was analyzed with model with ID: {result.ModelId}");
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foreach (AnalyzedDocument document in result.Documents)
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{
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Console.WriteLine($"Document of type: {document.DocumentType}");
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foreach (KeyValuePair<string, DocumentField> fieldKvp in document.Fields)
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{
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string fieldName = fieldKvp.Key;
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DocumentField field = fieldKvp.Value;
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Console.WriteLine($"Field '{fieldName}': ");
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Console.WriteLine($" Content: '{field.Content}'");
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Console.WriteLine($" Confidence: '{field.Confidence}'");
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}
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}
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// Iterate over lines and selection marks on each page
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foreach (DocumentPage page in result.Pages)
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{
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Console.WriteLine($"Lines found on page {page.PageNumber}");
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foreach (var line in page.Lines)
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{
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Console.WriteLine($" {line.Content}");
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}
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Console.WriteLine($"Selection marks found on page {page.PageNumber}");
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foreach (var selectionMark in page.SelectionMarks)
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{
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Console.WriteLine($" Selection mark is '{selectionMark.State}' with confidence {selectionMark.Confidence}");
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}
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}
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// Iterate over the document tables
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for (int i = 0; i < result.Tables.Count; i++)
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{
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Console.WriteLine($"Table {i + 1}");
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foreach (var cell in result.Tables[i].Cells)
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{
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Console.WriteLine($" Cell[{cell.RowIndex}][{cell.ColumnIndex}] has content '{cell.Content}' with kind '{cell.Kind}'");
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}
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}
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#endif

‎.NET(v4.0)/CodeSnippetForApiVer_2024-11-30/Document analysis/Layout.cs‎

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// #define RUN_AS_ENTRY_OF_TOP_LEVEL_STATEMENT
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#if RUN_AS_ENTRY_OF_TOP_LEVEL_STATEMENT
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/*
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This code sample shows Prebuilt Layout operations with the Azure AI Document Intelligence client library.
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To learn more, please visit the documentation - Quickstart: Document Intelligence (formerly Form Recognizer) SDKs
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https://learn.microsoft.com/azure/ai-services/document-intelligence/quickstarts/get-started-sdks-rest-api?pivots=programming-language-csharp
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*/
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using Azure;
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using Azure.AI.DocumentIntelligence;
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/*
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Remember to remove the key from your code when you're done, and never post it publicly. For production, use
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secure methods to store and access your credentials. For more information, see
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https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-security?tabs=command-line%2Ccsharp#environment-variables-and-application-configuration
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*/
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string endpoint = Environment.GetEnvironmentVariable("DOCUMENTINTELLIGENCE_ENDPOINT") ?? string.Empty;
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string key = Environment.GetEnvironmentVariable("DOCUMENTINTELLIGENCE_API_KEY") ?? string.Empty;
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if (string.IsNullOrEmpty(endpoint) || string.IsNullOrEmpty(key))
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{
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Console.WriteLine("Please set the environment variables for the endpoint and key.");
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return;
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}
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AzureKeyCredential credential = new AzureKeyCredential(key);
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DocumentIntelligenceClient client = new DocumentIntelligenceClient(new Uri(endpoint), credential);
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// sample document
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Uri fileUri = new Uri("https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/sample-layout.pdf");
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Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync(WaitUntil.Completed, "prebuilt-layout", fileUri);
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AnalyzeResult result = operation.Value;
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foreach (DocumentPage page in result.Pages)
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{
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Console.WriteLine($"Document Page {page.PageNumber} has {page.Lines.Count} line(s), {page.Words.Count} word(s),");
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Console.WriteLine($"and {page.SelectionMarks.Count} selection mark(s).");
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for (int i = 0; i < page.Lines.Count; i++)
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{
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DocumentLine line = page.Lines[i];
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Console.WriteLine($" Line {i} has content: '{line.Content}'.");
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Console.WriteLine($" Its bounding box is:");
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Console.WriteLine($" Upper left => X: {line.Polygon[0]}, Y= {line.Polygon[1]}");
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Console.WriteLine($" Upper right => X: {line.Polygon[2]}, Y= {line.Polygon[3]}");
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Console.WriteLine($" Lower right => X: {line.Polygon[4]}, Y= {line.Polygon[5]}");
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Console.WriteLine($" Lower left => X: {line.Polygon[6]}, Y= {line.Polygon[7]}");
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}
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for (int i = 0; i < page.SelectionMarks.Count; i++)
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{
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DocumentSelectionMark selectionMark = page.SelectionMarks[i];
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Console.WriteLine($" Selection Mark {i} is {selectionMark.State}.");
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Console.WriteLine($" Its bounding box is:");
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Console.WriteLine($" Upper left => X: {selectionMark.Polygon[0]}, Y= {selectionMark.Polygon[1]}");
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Console.WriteLine($" Upper right => X: {selectionMark.Polygon[2]}, Y= {selectionMark.Polygon[3]}");
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Console.WriteLine($" Lower right => X: {selectionMark.Polygon[4]}, Y= {selectionMark.Polygon[5]}");
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Console.WriteLine($" Lower left => X: {selectionMark.Polygon[6]}, Y= {selectionMark.Polygon[7]}");
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}
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}
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foreach (DocumentStyle style in result.Styles)
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{
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// Check the style and style confidence to see if text is handwritten.
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// Note that value '0.8' is used as an example.
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bool isHandwritten = style.IsHandwritten.HasValue && style.IsHandwritten == true;
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if (isHandwritten && style.Confidence > 0.8)
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{
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Console.WriteLine($"Handwritten content found:");
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foreach (DocumentSpan span in style.Spans)
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{
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Console.WriteLine($" Content: {result.Content.Substring(span.Offset, span.Length)}");
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}
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}
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}
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Console.WriteLine("The following tables were extracted:");
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for (int i = 0; i < result.Tables.Count; i++)
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{
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DocumentTable table = result.Tables[i];
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Console.WriteLine($" Table {i} has {table.RowCount} rows and {table.ColumnCount} columns.");
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foreach (DocumentTableCell cell in table.Cells)
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{
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Console.WriteLine($" Cell ({cell.RowIndex}, {cell.ColumnIndex}) has kind '{cell.Kind}' and content: '{cell.Content}'.");
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}
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}
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#endif

‎.NET(v4.0)/CodeSnippetForApiVer_2024-11-30/Document analysis/Read.cs‎

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#define RUN_AS_ENTRY_OF_TOP_LEVEL_STATEMENT
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#if RUN_AS_ENTRY_OF_TOP_LEVEL_STATEMENT
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/*
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This code sample shows Prebuilt Read operations with the Azure AI Document Intelligence client library.
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To learn more, please visit the documentation - Quickstart: Document Intelligence (formerly Form Recognizer) SDKs
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https://learn.microsoft.com/azure/ai-services/document-intelligence/quickstarts/get-started-sdks-rest-api?pivots=programming-language-csharp
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*/
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using Azure;
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using Azure.AI.DocumentIntelligence;
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/*
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Remember to remove the key from your code when you're done, and never post it publicly. For production, use
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secure methods to store and access your credentials. For more information, see
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https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-security?tabs=command-line%2Ccsharp#environment-variables-and-application-configuration
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*/
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string endpoint = Environment.GetEnvironmentVariable("DOCUMENTINTELLIGENCE_ENDPOINT") ?? string.Empty;
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string key = Environment.GetEnvironmentVariable("DOCUMENTINTELLIGENCE_API_KEY") ?? string.Empty;
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if (string.IsNullOrEmpty(endpoint) || string.IsNullOrEmpty(key))
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{
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Console.WriteLine("Please set the environment variables for the endpoint and key.");
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return;
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}
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AzureKeyCredential credential = new AzureKeyCredential(key);
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DocumentIntelligenceClient client = new DocumentIntelligenceClient(new Uri(endpoint), credential);
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//sample document
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Uri fileUri = new Uri("https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/rest-api/read.png");
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Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync(WaitUntil.Completed, "prebuilt-read", fileUri);
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AnalyzeResult result = operation.Value;
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foreach (DocumentPage page in result.Pages)
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{
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Console.WriteLine($"Document Page {page.PageNumber} has {page.Lines.Count} line(s), {page.Words.Count} word(s),");
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for (int i = 0; i < page.Lines.Count; i++)
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{
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DocumentLine line = page.Lines[i];
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Console.WriteLine($" Line {i} has content: '{line.Content}'.");
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Console.WriteLine($" Its bounding box is:");
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Console.WriteLine($" Upper left => X: {line.Polygon[0]}, Y= {line.Polygon[1]}");
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Console.WriteLine($" Upper right => X: {line.Polygon[2]}, Y= {line.Polygon[3]}");
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Console.WriteLine($" Lower right => X: {line.Polygon[4]}, Y= {line.Polygon[5]}");
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Console.WriteLine($" Lower left => X: {line.Polygon[6]}, Y= {line.Polygon[7]}");
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}
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}
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foreach (DocumentStyle style in result.Styles)
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{
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// Check the style and style confidence to see if text is handwritten.
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// Note that value '0.8' is used as an example.
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bool isHandwritten = style.IsHandwritten.HasValue && style.IsHandwritten == true;
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if (isHandwritten && style.Confidence > 0.8)
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{
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Console.WriteLine($"Handwritten content found:");
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foreach (DocumentSpan span in style.Spans)
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{
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Console.WriteLine($" Content: {result.Content.Substring(span.Offset, span.Length)}");
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}
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}
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}
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foreach (DocumentLanguage language in result.Languages)
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{
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Console.WriteLine($" Found language '{language.Locale}' with confidence {language.Confidence}.");
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}
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#endif

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