azure-ai-document-intelligence-dotnet
0
总安装量
3
周安装量
#55731
全站排名
安装命令
npx skills add https://github.com/microsoft/agent-skills --skill azure-ai-document-intelligence-dotnet
Agent 安装分布
opencode
2
claude-code
2
github-copilot
2
mcpjam
1
qwen-code
1
Skill 文档
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, blobSource);
Operation<DocumentModelDetails> operation = await adminClient.BuildDocumentModelAsync(
WaitUntil.Completed,
options);
DocumentModelDetails model = operation.Value;
Console.WriteLine($"Model ID: {model.ModelId}");
Console.WriteLine($"Created: {model.CreatedOn}");
foreach (var docType in model.DocumentTypes)
{
Console.WriteLine($"Document type: {docType.Key}");
foreach (var field in docType.Value.FieldSchema)
{
Console.WriteLine($" Field: {field.Key}, Confidence: {docType.Value.FieldConfidence[field.Key]}");
}
}
5. Build Document Classifier
string classifierId = "my-classifier";
Uri blobContainerUri = new Uri("<blob-container-sas-url>");
var sourceA = new BlobContentSource(blobContainerUri) { Prefix = "TypeA/train" };
var sourceB = new BlobContentSource(blobContainerUri) { Prefix = "TypeB/train" };
var docTypes = new Dictionary<string, ClassifierDocumentTypeDetails>()
{
{ "TypeA", new ClassifierDocumentTypeDetails(sourceA) },
{ "TypeB", new ClassifierDocumentTypeDetails(sourceB) }
};
var options = new BuildClassifierOptions(classifierId, docTypes);
Operation<DocumentClassifierDetails> operation = await adminClient.BuildClassifierAsync(
WaitUntil.Completed,
options);
DocumentClassifierDetails classifier = operation.Value;
Console.WriteLine($"Classifier ID: {classifier.ClassifierId}");
6. Classify Document
string classifierId = "my-classifier";
Uri documentUri = new Uri("https://example.com/document.pdf");
var options = new ClassifyDocumentOptions(classifierId, documentUri);
Operation<AnalyzeResult> operation = await client.ClassifyDocumentAsync(
WaitUntil.Completed,
options);
AnalyzeResult result = operation.Value;
foreach (AnalyzedDocument document in result.Documents)
{
Console.WriteLine($"Document type: {document.DocumentType}, confidence: {document.Confidence}");
}
7. Manage Models
// Get resource details
DocumentIntelligenceResourceDetails resourceDetails = await adminClient.GetResourceDetailsAsync();
Console.WriteLine($"Custom models: {resourceDetails.CustomDocumentModels.Count}/{resourceDetails.CustomDocumentModels.Limit}");
// Get specific model
DocumentModelDetails model = await adminClient.GetModelAsync("my-model-id");
Console.WriteLine($"Model: {model.ModelId}, Created: {model.CreatedOn}");
// List models
await foreach (DocumentModelDetails modelItem in adminClient.GetModelsAsync())
{
Console.WriteLine($"Model: {modelItem.ModelId}");
}
// Delete model
await adminClient.DeleteModelAsync("my-model-id");
Key Types Reference
| Type | Description |
|---|---|
DocumentIntelligenceClient |
Main client for analysis |
DocumentIntelligenceAdministrationClient |
Model management |
AnalyzeResult |
Result of document analysis |
AnalyzedDocument |
Single document within result |
DocumentField |
Extracted field with value and confidence |
DocumentFieldType |
String, Date, Number, Currency, etc. |
DocumentPage |
Page info (lines, words, selection marks) |
DocumentTable |
Extracted table with cells |
DocumentModelDetails |
Custom model metadata |
BlobContentSource |
Training data source |
Build Modes
| Mode | Use Case |
|---|---|
DocumentBuildMode.Template |
Fixed layout documents (forms) |
DocumentBuildMode.Neural |
Variable layout documents |
Best Practices
- Use DefaultAzureCredential for production
- Reuse client instances â clients are thread-safe
- Handle long-running operations â Use
WaitUntil.Completedfor simplicity - Check field confidence â Always verify
Confidenceproperty - Use appropriate model â Prebuilt for common docs, custom for specialized
- Use custom subdomain â Required for Entra ID authentication
Error Handling
using Azure;
try
{
var operation = await client.AnalyzeDocumentAsync(
WaitUntil.Completed,
"prebuilt-invoice",
documentUri);
}
catch (RequestFailedException ex)
{
Console.WriteLine($"Error: {ex.Status} - {ex.Message}");
}
Related SDKs
| SDK | Purpose | Install |
|---|---|---|
Azure.AI.DocumentIntelligence |
Document analysis (this SDK) | dotnet add package Azure.AI.DocumentIntelligence |
Azure.AI.FormRecognizer |
Legacy SDK (deprecated) | Use DocumentIntelligence instead |
Reference Links
| Resource | URL |
|---|---|
| NuGet Package | https://www.nuget.org/packages/Azure.AI.DocumentIntelligence |
| API Reference | https://learn.microsoft.com/dotnet/api/azure.ai.documentintelligence |
| GitHub Samples | https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/documentintelligence/Azure.AI.DocumentIntelligence/samples |
| Document Intelligence Studio | https://documentintelligence.ai.azure.com/ |
| Prebuilt Models | https://aka.ms/azsdk/formrecognizer/models |