/azure-ai-document-intelligence-dotnet
Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models.
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Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models.
SKILL.md
azure-ai-document-intelligence-dotnet.SKILL.mdname: azure-ai-document-intelligence-dotnet
description: Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models.
risk: critical
source: community
date_added: '2026-02-27'
Azure.AI.DocumentIntelligence (.NET)
Extract text, tables, and structured data from documents using prebuilt and custom models.
Installation
dotnet add package Azure.AI.DocumentIntelligence
dotnet add package Azure.Identity
**Current Version**: v1.0.0 (GA)
Environment Variables
DOCUMENT_INTELLIGENCE_ENDPOINT=https://<resource-name>.cognitiveservices.azure.com/
DOCUMENT_INTELLIGENCE_API_KEY=<your-api-key>
BLOB_CONTAINER_SAS_URL=https://<storage>.blob.core.windows.net/<container>?<sas-token>
Authentication
Microsoft Entra ID (Recommended)
using Azure.Identity;
using Azure.AI.DocumentIntelligence;
string endpoint = Environment.GetEnvironmentVariable("DOCUMENT_INTELLIGENCE_ENDPOINT");
var credential = new DefaultAzureCredential();
var client = new DocumentIntelligenceClient(new Uri(endpoint), credential);> **Note**: Entra ID requires a **custom subdomain** (e.g., `https://<resource-name>.cognitiveservices.azure.com/`), not a regional endpoint.
API Key
string endpoint = Environment.GetEnvironmentVariable("DOCUMENT_INTELLIGENCE_ENDPOINT");
string apiKey = Environment.GetEnvironmentVariable("DOCUMENT_INTELLIGENCE_API_KEY");
var client = new DocumentIntelligenceClient(new Uri(endpoint), new AzureKeyCredential(apiKey));Client Types
| Client | Purpose | |--------|---------| | `DocumentIntelligenceClient` | Analyze documents, classify documents | | `DocumentIntelligenceAdministrationClient` | Build/manage custom models and classifiers |
Prebuilt Models
| Model ID | Description | |----------|-------------| | `prebuilt-read` | Extract text, languages, handwriting | | `prebuilt-layout` | Extract text, tables, selection marks, structure | | `prebuilt-invoice` | Extract invoice fields (vendor, items, totals) | | `prebuilt-receipt` | Extract receipt fields (merchant, items, total) | | `prebuilt-idDocument` | Extract ID document fields (name, DOB, address) | | `prebuilt-businessCard` | Extract business card fields | | `prebuilt-tax.us.w2` | Extract W-2 tax form fields | | `prebuilt-healthInsuranceCard.us` | Extract health insurance card fields |
Core Workflows
1. Analyze Invoice
using Azure.AI.DocumentIntelligence;
Uri invoiceUri = new Uri("https://example.com/invoice.pdf");
Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync(
WaitUntil.Completed,
"prebuilt-invoice",
invoiceUri);
AnalyzeResult result = operation.Value;
foreach (AnalyzedDocument document in result.Documents)
{
if (document.Fields.TryGetValue("VendorName", out DocumentField vendorNameField)
&& vendorNameField.FieldType == DocumentFieldType.String)
{
string vendorName = vendorNameField.ValueString;
Console.WriteLine($"Vendor Name: '{vendorName}', confidence: {vendorNameField.Confidence}");
}
if (document.Fields.TryGetValue("InvoiceTotal", out DocumentField invoiceTotalField)
&& invoiceTotalField.FieldType == DocumentFieldType.Currency)
{
CurrencyValue invoiceTotal = invoiceTotalField.ValueCurrency;
Console.WriteLine($"Invoice Total: '{invoiceTotal.CurrencySymbol}{invoiceTotal.Amount}'");
}
// Extract line items
if (document.Fields.TryGetValue("Items", out DocumentField itemsField)
&& itemsField.FieldType == DocumentFieldType.List)
{
foreach (DocumentField item in itemsField.ValueList)
{
var itemFields = item.ValueDictionary;
if (itemFields.TryGetValue("Description", out DocumentField descField))
Console.WriteLine($" Item: {descField.ValueString}");
}
}
}2. Extract Layout (Text, Tables, Structure)
Uri fileUri = new Uri("https://example.com/document.pdf");
Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync(
WaitUntil.Completed,
"prebuilt-layout",
fileUri);
AnalyzeResult result = operation.Value;
// Extract text by page
foreach (DocumentPage page in result.Pages)
{
Console.WriteLine($"Page {page.PageNumber}: {page.Lines.Count} lines, {page.Words.Count} words");
foreach (DocumentLine line in page.Lines)
{
Console.WriteLine($" Line: '{line.Content}'");
}
}
// Extract tables
foreach (DocumentTable table in result.Tables)
{
Console.WriteLine($"Table: {table.RowCount} rows x {table.ColumnCount} columns");
foreach (DocumentTableCell cell in table.Cells)
{
Console.WriteLine($" Cell ({cell.RowIndex}, {cell.ColumnIndex}): {cell.Content}");
}
}3. Analyze Receipt
Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync(
WaitUntil.Completed,
"prebuilt-receipt",
receiptUri);
AnalyzeResult result = operation.Value;
foreach (AnalyzedDocument document in result.Documents)
{
if (document.Fields.TryGetValue("MerchantName", out DocumentField merchantField))
Console.WriteLine($"Merchant: {merchantField.ValueString}");
if (document.Fields.TryGetValue("Total", out DocumentField totalField))
Console.WriteLine($"Total: {totalField.ValueCurrency.Amount}");
if (document.Fields.TryGetValue("TransactionDate", out DocumentField dateField))
Console.WriteLine($"Date: {dateField.ValueDate}");
}4. Build Custom Model
var adminClient = new DocumentIntelligenceAdministrationClient(
new Uri(endpoint),
new AzureKeyCredential(apiKey));
string modelId = "my-custom-model";
Uri blobContainerUri = new Uri("<blob-container-sas-url>");
var blobSource = new BlobContentSource(blobContainerUri);
var options = new BuildDocumentModelOptions(modelId, DocumentBuildMode.Template, bRead more
name: azure-ai-document-intelligence-dotnet description: Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. risk: critical source: community date_added: '2026-02-27'
Azure.AI.DocumentIntelligence (.NET)
Extract text, tables, and structured data from documents using prebuilt and custom models.
Installation
dotnet add package Azure.AI.DocumentIntelligence dotnet add package Azure.Identity
**Current Version**: v1.0.0 (GA)
Environment Variables
DOCUMENT_INTELLIGENCE_ENDPOINT=https://<resource-name>.cognitiveservices.azure.com/ DOCUMENT_INTELLIGENCE_API_KEY=<your-api-key> BLOB_CONTAINER_SAS_URL=https://<storage>.blob.core.windows.net/<container>?<sas-token>
Authentication
Microsoft Entra ID (Recommended)
using Azure.Identity;
using Azure.AI.DocumentIntelligence;
string endpoint = Environment.GetEnvironmentVariable("DOCUMENT_INTELLIGENCE_ENDPOINT");
var credential = new DefaultAzureCredential();
var client = new DocumentIntelligenceClient(new Uri(endpoint), credential);> **Note**: Entra ID requires a **custom subdomain** (e.g., `https://<resource-name>.cognitiveservices.azure.com/`), not a regional endpoint.
API Key
string endpoint = Environment.GetEnvironmentVariable("DOCUMENT_INTELLIGENCE_ENDPOINT");
string apiKey = Environment.GetEnvironmentVariable("DOCUMENT_INTELLIGENCE_API_KEY");
var client = new DocumentIntelligenceClient(new Uri(endpoint), new AzureKeyCredential(apiKey));Client Types
| Client | Purpose | |--------|---------| | `DocumentIntelligenceClient` | Analyze documents, classify documents | | `DocumentIntelligenceAdministrationClient` | Build/manage custom models and classifiers |
Prebuilt Models
| Model ID | Description | |----------|-------------| | `prebuilt-read` | Extract text, languages, handwriting | | `prebuilt-layout` | Extract text, tables, selection marks, structure | | `prebuilt-invoice` | Extract invoice fields (vendor, items, totals) | | `prebuilt-receipt` | Extract receipt fields (merchant, items, total) | | `prebuilt-idDocument` | Extract ID document fields (name, DOB, address) | | `prebuilt-businessCard` | Extract business card fields | | `prebuilt-tax.us.w2` | Extract W-2 tax form fields | | `prebuilt-healthInsuranceCard.us` | Extract health insurance card fields |
Core Workflows
1. Analyze Invoice
using Azure.AI.DocumentIntelligence;
Uri invoiceUri = new Uri("https://example.com/invoice.pdf");
Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync(
WaitUntil.Completed,
"prebuilt-invoice",
invoiceUri);
AnalyzeResult result = operation.Value;
foreach (AnalyzedDocument document in result.Documents)
{
if (document.Fields.TryGetValue("VendorName", out DocumentField vendorNameField)
&& vendorNameField.FieldType == DocumentFieldType.String)
{
string vendorName = vendorNameField.ValueString;
Console.WriteLine($"Vendor Name: '{vendorName}', confidence: {vendorNameField.Confidence}");
}
if (document.Fields.TryGetValue("InvoiceTotal", out DocumentField invoiceTotalField)
&& invoiceTotalField.FieldType == DocumentFieldType.Currency)
{
CurrencyValue invoiceTotal = invoiceTotalField.ValueCurrency;
Console.WriteLine($"Invoice Total: '{invoiceTotal.CurrencySymbol}{invoiceTotal.Amount}'");
}
// Extract line items
if (document.Fields.TryGetValue("Items", out DocumentField itemsField)
&& itemsField.FieldType == DocumentFieldType.List)
{
foreach (DocumentField item in itemsField.ValueList)
{
var itemFields = item.ValueDictionary;
if (itemFields.TryGetValue("Description", out DocumentField descField))
Console.WriteLine($" Item: {descField.ValueString}");
}
}
}2. Extract Layout (Text, Tables, Structure)
Uri fileUri = new Uri("https://example.com/document.pdf");
Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync(
WaitUntil.Completed,
"prebuilt-layout",
fileUri);
AnalyzeResult result = operation.Value;
// Extract text by page
foreach (DocumentPage page in result.Pages)
{
Console.WriteLine($"Page {page.PageNumber}: {page.Lines.Count} lines, {page.Words.Count} words");
foreach (DocumentLine line in page.Lines)
{
Console.WriteLine($" Line: '{line.Content}'");
}
}
// Extract tables
foreach (DocumentTable table in result.Tables)
{
Console.WriteLine($"Table: {table.RowCount} rows x {table.ColumnCount} columns");
foreach (DocumentTableCell cell in table.Cells)
{
Console.WriteLine($" Cell ({cell.RowIndex}, {cell.ColumnIndex}): {cell.Content}");
}
}3. Analyze Receipt
Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync(
WaitUntil.Completed,
"prebuilt-receipt",
receiptUri);
AnalyzeResult result = operation.Value;
foreach (AnalyzedDocument document in result.Documents)
{
if (document.Fields.TryGetValue("MerchantName", out DocumentField merchantField))
Console.WriteLine($"Merchant: {merchantField.ValueString}");
if (document.Fields.TryGetValue("Total", out DocumentField totalField))
Console.WriteLine($"Total: {totalField.ValueCurrency.Amount}");
if (document.Fields.TryGetValue("TransactionDate", out DocumentField dateField))
Console.WriteLine($"Date: {dateField.ValueDate}");
}4. Build Custom Model
var adminClient = new DocumentIntelligenceAdministrationClient(
new Uri(endpoint),
new AzureKeyCredential(apiKey));
string modelId = "my-custom-model";
Uri blobContainerUri = new Uri("<blob-container-sas-url>");
var blobSource = new BlobContentSource(blobContainerUri);
var options = new BuildDocumentModelOptions(modelId, DocumentBuildMode.Template, bLocal, agent-owned skill stacks for coding agents—from complete catalog access to a reproducible, reviewable plan. Codex or Claude inspects your project and chooses exact skills from the complete local AAS catalog.
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