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azure-ai-formrecognizer-java — Claude Code skill for Java

This skill guides Java work with Azure AI Document Intelligence, from extracting document text and tables to analyzing invoices and receipts.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a claude-code
Open on GitHub

What azure-ai-formrecognizer-java does

The skill covers the Java SDK com.azure:azure-ai-documentintelligence: choosing a prebuilt model, sending a PDF or document URL for analysis, and reading the result. Available model examples handle text, page layout, receipts, invoices, and identity documents.

Its guidance includes synchronous, asynchronous, and administration clients, with authentication through DefaultAzureCredential or an API key. The service endpoint must be set in DOCUMENT_INTELLIGENCE_ENDPOINT. When DefaultAzureCredential is used in production, AZURE_TOKEN_CREDENTIALS is also required; without the endpoint, the client cannot connect to the Azure resource.

What it helps with

  • extract text and lines from a PDF in Java
  • read tables and page structure from a document
  • retrieve invoice fields or receipt data
  • choose a prebuilt model for an identity document
  • configure an Azure AI Document Intelligence Java client

Example prompts for the agent

  • Write Java code to extract text and lines from document.pdf with Azure AI Document Intelligence.
  • Analyze an invoice URL with the prebuilt invoice model and return its fields.
  • Show how to configure DefaultAzureCredential for the Java client and identify the required environment variables.

How to install azure-ai-formrecognizer-java

1Skills CLI (Vercel)

npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a claude-code

2Manually: put the files in place

~/.claude/skills/azure-ai-formrecognizer-java/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/azure-ai-formrecognizer-java/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about azure-ai-formrecognizer-java

How do I install azure-ai-formrecognizer-java in Claude Code?

Run npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a claude-code. The skill file is at ~/.claude/skills/azure-ai-formrecognizer-java/SKILL.md.

What does azure-ai-formrecognizer-java do?

It guides Java use of Azure AI Document Intelligence to analyze documents and retrieve text, tables, and fields. The examples cover prebuilt models and client setup.

What does the Java client need to connect?

Set DOCUMENT_INTELLIGENCE_ENDPOINT and configure authentication with DefaultAzureCredential or an API key. Production use of DefaultAzureCredential also requires AZURE_TOKEN_CREDENTIALS.

Source text

SKILL.md · MIT
---
name: azure-ai-formrecognizer-java
description: |
  Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence).
  Use for extracting text, tables, key-value pairs from documents, receipts, invoices, IDs, or building custom document models.
  Triggers: "document intelligence java", "form recognizer java", "extract text from PDF java", "OCR document java",
  "analyze invoice receipt java", "custom document model java", "document classification java".
---

# Azure AI Document Intelligence SDK for Java

> **Rebranding:** Azure AI Form Recognizer is now **Azure AI Document Intelligence**.
> New projects should use `com.azure:azure-ai-documentintelligence`. The legacy `azure-ai-formrecognizer` package targets API version 2023-07-31 only.
> See [Migration Guide](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/documentintelligence/azure-ai-documentintelligence/MIGRATION_GUIDE.md).

## Before Implementation

Search `microsoft-docs` MCP for current API patterns:
- Query: `"azure-ai-documentintelligence Java SDK"`
- Verify: Parameters match installed SDK version (latest GA: 1.0.7)

## Installation

```xml
<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-ai-documentintelligence</artifactId>
    <version>1.0.0</version>
</dependency>

<!-- For DefaultAzureCredential -->
<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-identity</artifactId>
    <version>1.14.2</version>
</dependency>
```

## Environment Variables

```bash
DOCUMENT_INTELLIGENCE_ENDPOINT=https://<resource>.cognitiveservices.azure.com/ # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production
```

## Authentication

### DefaultAzureCredential (Recommended)

```java
import com.azure.ai.documentintelligence.DocumentIntelligenceClient;
import com.azure.ai.documentintelligence.DocumentIntelligenceClientBuilder;
import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;

TokenCredential credential = new DefaultAzureCredentialBuilder()
    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
    .build();
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/java/api/overview/azure/identity-readme?view=azure-java-stable#credential-classes
// TokenCredential credential = new ManagedIdentityCredentialBuilder().build();

DocumentIntelligenceClient client = new DocumentIntelligenceClientBuilder()
    .endpoint(System.getenv("DOCUMENT_INTELLIGENCE_ENDPOINT"))
    .credential(credential)
    .buildClient();
```

### API Key

```java
import com.azure.core.credential.AzureKeyCredential;

DocumentIntelligenceClient client = new DocumentIntelligenceClientBuilder()
    .endpoint(System.getenv("DOCUMENT_INTELLIGENCE_ENDPOINT"))
    .credential(new AzureKeyCredential(System.getenv("DOCUMENT_INTELLIGENCE_KEY")))
    .buildClient();
```

### Administration Client

```java
import com.azure.ai.documentintelligence.DocumentIntelligenceAdministrationClient;
import com.azure.ai.documentintelligence.DocumentIntelligenceAdministrationClientBuilder;
import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;

TokenCredential credential = new DefaultAzureCredentialBuilder()
    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
    .build();
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/java/api/overview/azure/identity-readme?view=azure-java-stable#credential-classes
// TokenCredential credential = new ManagedIdentityCredentialBuilder().build();

DocumentIntelligenceAdministrationClient adminClient = new DocumentIntelligenceAdministrationClientBuilder()
    .endpoint(System.getenv("DOCUMENT_INTELLIGENCE_ENDPOINT"))
    .credential(credential)
    .buildClient();
```

### Async Client

```java
import com.azure.ai.documentintelligence.DocumentIntelligenceAsyncClient;
import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;

TokenCredential credential = new DefaultAzureCredentialBuilder()
    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
    .build();
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/java/api/overview/azure/identity-readme?view=azure-java-stable#credential-classes
// TokenCredential credential = new ManagedIdentityCredentialBuilder().build();

DocumentIntelligenceAsyncClient asyncClient = new DocumentIntelligenceClientBuilder()
    .endpoint(System.getenv("DOCUMENT_INTELLIGENCE_ENDPOINT"))
    .credential(credential)
    .buildAsyncClient();
```

## Prebuilt Models

| Model ID | Purpose |
|----------|---------|
| `prebuilt-read` | Extract text, lines, words, languages |
| `prebuilt-layout` | Text, tables, selection marks, structure |
| `prebuilt-receipt` | Receipt data extraction |
| `prebuilt-invoice` | Invoice field extraction |
| `prebuilt-idDocument` | ID documents (passport, license) |
| `prebuilt-tax.us.w2` | US W2 tax forms |
| `prebuilt-healthInsuranceCard.us` | US health insurance cards |
| `prebuilt-contract` | Contract field extraction |

> **Retired models:** `prebuilt-businessCard` and `prebuilt-document` are retired in API version 2024-11-30. Use the legacy `azure-ai-formrecognizer` package for these.

## Core Patterns

### Analyze from File

```java
import com.azure.ai.documentintelligence.models.*;
import com.azure.core.util.BinaryData;
import com.azure.core.util.polling.SyncPoller;
import java.io.File;

File document = new File("document.pdf");
BinaryData documentData = BinaryData.fromFile(document.toPath(), (int) document.length());

SyncPoller<AnalyzeOperationDetails, AnalyzeResult> poller =
    client.beginAnalyzeDocument("prebuilt-layout",
        new AnalyzeDocumentOptions(documentData));

AnalyzeResult result = poller.getFinalResult();
```

### Analyze from URL

```java
String documentUrl = "https://example.com/invoice.pdf";

SyncPoller<AnalyzeOperationDetails, AnalyzeResult> poller =
    client.beginAnalyzeDocument("prebuilt-invoice",
        new AnalyzeDocumentOptions(documentUrl));

AnalyzeResult result = poller.getFinalResult();
```

### Extract Layout

```java
AnalyzeResult result = poller.getFinalResult();

for (DocumentPage page : result.getPages()) {
    System.out.printf("Page has width: %.2f and height: %.2f, measured with unit: %s%n",
        page.getWidth(), page.getHeight(), page.getUnit());

    // Lines
    for (DocumentLine line : page.getLines()) {
        System.out.printf("Line '%s' is within bounding box %s.%n",
            line.getContent(), line.getPolygon());
    }

    // Selection marks
    for (DocumentSelectionMark mark : page.getSelectionMarks()) {
        System.out.printf("Selection mark is '%s' with confidence %.2f.%n",
            mark.getState(), mark.getConfidence());
    }
}

// Tables
for (DocumentTable table : result.getTables()) {
    System.out.printf("Table: %d rows x %d columns%n",
        table.getRowCount(), table.getColumnCount());
    for (DocumentTableCell cell : table.getCells()) {
        System.out.printf("Cell[%d,%d]: %s%n",
            cell.getRowIndex(), cell.getColumnIndex(), cell.getContent());
    }
}
```

### Extract Document Fields

```java
SyncPoller<AnalyzeOperationDetails, AnalyzeResult> poller =
    client.beginAnalyzeDocument("prebuilt-receipt",
        new AnalyzeDocumentOptions(receiptUrl));

AnalyzeResult result = poller.getFinalResult();

for (AnalyzedDocument doc : result.getDocuments()) {
    Map<String, DocumentField> fields = doc.getFields();

    DocumentField merchantName = fields.get("MerchantName");
    if (merchantName != null && merchantName.getType() == DocumentFieldType.STRING) {
        System.out.printf("Merchant: %s (confidence: %.2f)%n",
            merchantName.getValueString(), merchantName.getConfidence());
    }

    DocumentField transactionDate = fields.get("TransactionDate");
    if (transactionDate != null && transactionDate.getType() == DocumentFieldType.DATE) {
        System.out.printf("Date: %s%n", transactionDate.getValueDate());
    }
}
```

### Analyze with Options

```java
SyncPoller<AnalyzeOperationDetails, AnalyzeResult> poller =
    client.beginAnalyzeDocument("my-custom-model",
        new AnalyzeDocumentOptions(documentUrl)
            .setPages(Collections.singletonList("1-3"))
            .setLocale("en-US")
            .setDocumentAnalysisFeatures(Arrays.asList(DocumentAnalysisFeature.LANGUAGES))
            .setOutputContentFormat(DocumentContentFormat.TEXT));
```

## Custom Models

### Build Custom Model

```java
String blobContainerUrl = "{SAS_URL_of_training_data}";

SyncPoller<DocumentModelBuildOperationDetails, DocumentModelDetails> poller =
    adminClient.beginBuildDocumentModel(
        new BuildDocumentModelOptions("my-custom-model", DocumentBuildMode.TEMPLATE)
            .setAzureBlobSource(new AzureBlobContentSource(blobContainerUrl)));

DocumentModelDetails model = poller.getFinalResult();
System.out.printf("Model ID: %s%n", model.getModelId());
System.out.printf("Created: %s%n", model.getCreatedOn());

model.getDocumentTypes().forEach((docType, details) -> {
    details.getFieldSchema().forEach((field, schema) -> {
        System.out.printf("Field: %s (%s)%n", field, schema.getType());
    });
});
```

### Manage Models

```java
// Resource limits
DocumentIntelligenceResourceDetails resourceDetails = adminClient.getResourceDetails();
System.out.printf("Models: %d / %d%n",
    resourceDetails.getCustomDocumentModels().getCount(),
    resourceDetails.getCustomDocumentModels().getLimit());

// List models
PagedIterable<DocumentModelDetails> models = adminClient.listModels();
for (DocumentModelDetails model : models) {
    System.out.printf("Model: %s, Created: %s%n",
        model.getModelId(), model.getCreatedOn());
}

// Get model
DocumentModelDetails model = adminClient.getModel("model-id");

// Delete model
adminClient.deleteModel("model-id");
```

## Document Classification

### Build Classifier

```java
Map<String, ClassifierDocumentTypeDetails> docTypes = new HashMap<>();
docTypes.put("invoice", new ClassifierDocumentTypeDetails()
    .setAzureBlobSource(new AzureBlobContentSource(containerUrl).setPrefix("invoices/")));
docTypes.put("receipt", new ClassifierDocumentTypeDetails()
    .setAzureBlobSource(new AzureBlobContentSource(containerUrl).setPrefix("receipts/")));

SyncPoller<DocumentClassifierBuildOperationDetails, DocumentClassifierDetails> poller =
    adminClient.beginBuildClassifier(
        new BuildDocumentClassifierOptions("my-classifier", docTypes));

DocumentClassifierDetails classifier = poller.getFinalResult();
```

### Classify Document

```java
SyncPoller<AnalyzeOperationDetails, AnalyzeResult> poller =
    client.beginClassifyDocument("my-classifier",
        new ClassifyDocumentOptions(documentUrl));

AnalyzeResult result = poller.getFinalResult();
for (AnalyzedDocument doc : result.getDocuments()) {
    System.out.printf("Classified as: %s (confidence: %.2f)%n",
        doc.getDocumentType(), doc.getConfidence());
}
```

## Error Handling

```java
import com.azure.core.exception.HttpResponseException;

try {
    client.beginAnalyzeDocument("prebuilt-receipt",
        new AnalyzeDocumentOptions("invalid-url"));
} catch (HttpResponseException e) {
    System.out.printf("Status: %d, Error: %s%n",
        e.getResponse().getStatusCode(), e.getMessage());
}
```

## Migration from azure-ai-formrecognizer

| Old (formrecognizer v4.x) | New (documentintelligence v1.x) |
|---|---|
| `DocumentAnalysisClient` | `DocumentIntelligenceClient` |
| `DocumentAnalysisClientBuilder` | `DocumentIntelligenceClientBuilder` |
| `DocumentModelAdministrationClient` | `DocumentIntelligenceAdministrationClient` |
| `beginAnalyzeDocumentFromUrl(modelId, url)` | `beginAnalyzeDocument(modelId, new AnalyzeDocumentOptions(url))` |
| `beginAnalyzeDocument(modelId, data)` | `beginAnalyzeDocument(modelId, new AnalyzeDocumentOptions(data))` |
| `SyncPoller<OperationResult, AnalyzeResult>` | `SyncPoller<AnalyzeOperationDetails, AnalyzeResult>` |
| `field.getValueAsString()` | `field.getValueString()` |
| `field.getValueAsDate()` | `field.getValueDate()` |
| `field.getValueAsDouble()` | `field.getValueNumber()` |
| `field.getValueAsList()` | `field.getValueList()` |
| `field.getValueAsMap()` | `field.getValueObject()` |
| `mark.getSelectionMarkState()` | `mark.getState()` |
| `adminClient.beginBuildDocumentModel(url, mode, prefix, options, ctx)` | `adminClient.beginBuildDocumentModel(new BuildDocumentModelOptions(id, mode).setAzureBlobSource(...))` |
| `adminClient.getResourceDetails()` → `.getCustomDocumentModelCount()` | `adminClient.getResourceDetails()` → `.getCustomDocumentModels().getCount()` |
| `FORM_RECOGNIZER_ENDPOINT` | `DOCUMENT_INTELLIGENCE_ENDPOINT` |

## Reference Files

| File | Contents |
|------|----------|
| [references/examples.md](references/examples.md) | Complete code examples for all scenarios |

© microsoft · MIT · microsoft/skills

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