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HogarHogar Skill Gestión de bases de datos azure-ai-formrecognizer-java

azure-ai-formrecognizer-java

microsoft/skills microsoft/skills

Extrae texto, tablas, pares clave-valor y campos estructurados de documentos, recibos, facturas y documentos de identidad mediante el SDK de Azure AI Document Intelligence para Java.

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2
Tiempo actualizado 14 de septiembre de 2026

SDK de Azure AI Document Intelligence para Java

Cambio de nombre: Azure AI Form Recognizer pasa a llamarse Azure AI Document Intelligence. Los nuevos proyectos deben utilizar com.azure:azure-ai-documentintelligence. El paquete heredado azure-ai-formrecognizer solo es compatible con la versión de la API 2023-07-31. Consulta la Guía de migración.

Antes de la implementación

Busca en microsoft-docs MCP los patrones de API actuales:

  • Búsqueda: «azure-ai-documentintelligence Java SDK»
  • Comprueba que los parámetros coincidan con la versión del SDK instalado (última versión GA: 1.0.7)

Instalación


    com.azure
    azure-ai-documentintelligence
    1.0.0




    com.azure
    azure-identity
    1.14.2

Variables de entorno

DOCUMENT_INTELLIGENCE_ENDPOINT=https://.cognitiveservices.azure.com/ # Obligatorio para todos los métodos de autenticación
AZURE_TOKEN_CREDENTIALS=prod  # Obligatorio solo si se utiliza DefaultAzureCredential en producción

Autenticación

DefaultAzureCredential (recomendado)

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();
// O bien, utiliza una credencial específica directamente en producción:
// Véase 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();

Clave de API

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();

Cliente de administración

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();
// O bien, utiliza una credencial específica directamente en producción:
// Véase 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();

Cliente asíncrono

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 credencial = new DefaultAzureCredentialBuilder()
    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
    .build();
// O bien, utiliza una credencial específica directamente en producción:
// Véase 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();

Modelos predefinidos

ID del modelo Finalidad
prebuilt-read Extraer texto, líneas, palabras e idiomas
prebuilt-layout Texto, tablas, marcas de selección, estructura
prebuilt-receipt Extracción de datos de recibos
factura predefinida Extracción de campos de factura
documento de identidad predefinido Documentos de identidad (pasaporte, carné de conducir)
prebuilt-tax.us.w2 Formularios fiscales W2 de EE. UU.
prebuilt-healthInsuranceCard.us Tarjetas de seguro médico de EE. UU.
prebuilt-contract Extracción de campos de contratos

Modelos retirados: prebuilt-businessCard y prebuilt-document se retiran en la versión 2024-11-30 de la API. Utilice el paquete heredado azure-ai-formrecognizer para estos casos.

Patrones básicos

Análisis a partir de un archivo

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 poller =
    client.beginAnalyzeDocument("prebuilt-layout",
        new AnalyzeDocumentOptions(documentData));

AnalyzeResult result = poller.getFinalResult();

Analizar desde una URL

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

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

AnalyzeResult result = poller.getFinalResult();

Extraer el diseño

AnalyzeResult resultado = poller.getFinalResult();

for (DocumentPage página : result.getPages()) {
    System.out.printf("La página tiene un ancho de: %.2f y una altura de: %.2f, medidos en la unidad: %s%n",
        página.getWidth(), página.getHeight(), página.getUnit());

    // Líneas
    for (DocumentLine line : page.getLines()) {
        System.out.printf("La línea '%s' se encuentra dentro del rectángulo delimitador %s.%n",
            line.getContent(), line.getPolygon());
    }

    // Marcas de selección
    for (DocumentSelectionMark mark : page.getSelectionMarks()) {
        System.out.printf("La marca de selección es '%s' con un nivel de confianza del %.2f.%n",
            mark.getState(), mark.getConfidence());
    }
}

// Tablas
for (DocumentTable table : result.getTables()) {
    System.out.printf("Tabla: %d filas x %d columnas%n",
        table.getRowCount(), table.getColumnCount());
    for (DocumentTableCell celda : table.getCells()) {
        System.out.printf("Celda [%d,%d]: %s%n",
            celda.getRowIndex(), celda.getColumnIndex(), celda.getContent());
    }
}

Extraer campos del documento

SyncPoller poller =
    client.beginAnalyzeDocument("prebuilt-receipt",
        new AnalyzeDocumentOptions(receiptUrl));

AnalyzeResult result = poller.getFinalResult();

for (AnalyzedDocument doc : result.getDocuments()) {
    Map fields = doc.getFields();

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

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

Analizar con opciones

SyncPoller 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));

Modelos personalizados

Crear un modelo personalizado

String blobContainerUrl = "{SAS_URL_de_los_datos_de_entrenamiento}";

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

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

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

Gestionar modelos

// Límites de recursos
DocumentIntelligenceResourceDetails resourceDetails = adminClient.getResourceDetails();
System.out.printf("Modelos: %d / %d%n",
    resourceDetails.getCustomDocumentModels().getCount(),
    resourceDetails.getCustomDocumentModels().getLimit());

// Listar modelos
PagedIterable models = adminClient.listModels();
for (DocumentModelDetails model : models) {
    System.out.printf("Modelo: %s, Creado: %s%n",
        model.getModelId(), model.getCreatedOn());
}

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

// Eliminar modelo
adminClient.deleteModel("model-id");

Clasificación de documentos

Crear clasificador

Map docTypes = new HashMap<>();
docTypes.put("invoice", new ClassifierDocumentTypeDetails()
    .setAzureBlobSource(new AzureBlobContentSource(containerUrl).setPrefix("invoices/")));
docTypes.put("recibo", new ClassifierDocumentTypeDetails()
    .setAzureBlobSource(new AzureBlobContentSource(containerUrl).setPrefix("recibos/")));

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

DocumentClassifierDetails classifier = poller.getFinalResult();

Clasificar documento

SyncPoller poller =
    client.beginClassifyDocument("my-classifier",
        new ClassifyDocumentOptions(documentUrl));

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

Gestión de errores

import com.azure.core.exception.HttpResponseException;

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

Migración desde azure-ai-formrecognizer

Antiguo (formrecognizer v4.x) Nueva (documentintelligence v1.x)
DocumentAnalysisClient DocumentIntelligenceClient
DocumentAnalysisClientBuilder DocumentIntelligenceClientBuilder
Client de administración de modelos de documentos Cliente de administración de inteligencia documental
beginAnalyzeDocumentFromUrl(modelId, url) iniciarAnálisisDeDocumento(idDelModelo, new OpcionesDeAnálisisDeDocumento(url))
beginAnalyzeDocument(modelId, data) beginAnalyzeDocument(modelId, new AnalyzeDocumentOptions(data))
SyncPoller SyncPoller
field.getValueAsString() field.getValueString()
campo.getValueAsDate() campo.getValueDate()
campo.getValueAsDouble() campo.getValueNumber()
campo.getValueAsList() campo.getValueList()
campo.getValueAsMap() campo.getValueObject()
marca.getSelectionMarkState() marca.getState()
adminClient.beginBuildDocumentModel(url, modo, prefijo, opciones, ctx) adminClient.beginBuildDocumentModel(new BuildDocumentModelOptions(id, mode).setAzureBlobSource(...))
adminClient.getResourceDetails().getCustomDocumentModelCount() adminClient.getResourceDetails().getCustomDocumentModels().getCount()
FORM_RECOGNIZER_ENDPOINT PUNTO DE EXTREMO DE INTELIGENCIA DOCUMENTAL

Archivos de referencia

Archivo Contenido
referencias/ejemplos.md Ejemplos de código completos para todos los escenarios
Ver en GitHub
---
name: azure-ai-formrecognizer-java
description: Extract text, tables, key-value pairs, and structured fields from documents, receipts, invoices, and IDs using Azure AI Document Intelligence SDK for 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 |

Todos los archivos

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Descarga y descomprime los archivos de habilidades en el directorio .claude/skills/.

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Clona el repositorio y copia los archivos de la habilidad a tu proyecto.

git clone https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java # Copy SKILL.md to your .claude/skills/ directory

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Repositorio microsoft/skills

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