opção
LarLar Skill Gerenciamento de banco de dados azure-ai-formrecognizer-java

azure-ai-formrecognizer-java

microsoft/skills microsoft/skills

Extraia texto, tabelas, pares chave-valor e campos estruturados de documentos, recibos, notas fiscais e documentos de identificação usando o SDK do Azure AI Document Intelligence para Java.

...Expandir tudo
2
Tempo atualizado 14 de Setembro de 2026

SDK do Azure AI Document Intelligence para Java

Mudança de marca: o Azure AI Form Recognizer agora se chama Azure AI Document Intelligence. Novos projetos devem usar com.azure:azure-ai-documentintelligence. O pacote legado azure-ai-formrecognizer é compatível apenas com a versão 2023-07-31 da API. Consulte o Guia de Migração.

Antes da implementação

Pesquise no microsoft-docs MCP pelos padrões atuais da API:

  • Consulta: “azure-ai-documentintelligence Java SDK”
  • Verifique se os parâmetros correspondem à versão instalada do SDK (versão GA mais recente: 1.0.7)

Instalação


    com.azure
    azure-ai-documentintelligence
    1.0.0




    com.azure
    azure-identity
    1.14.2

Variáveis de ambiente

DOCUMENT_INTELLIGENCE_ENDPOINT=https://.cognitiveservices.azure.com/ # Obrigatório para todos os métodos de autenticação
AZURE_TOKEN_CREDENTIALS=prod  # Obrigatório apenas se DefaultAzureCredential for usado em produção

Autenticação

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();
// Ou use uma credencial específica diretamente em produção:
// Consulte 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();

Chave da 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 administração

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();
// Ou use uma credencial específica diretamente em produção:
// Consulte 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 assíncrono

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();
// Ou use uma credencial específica diretamente em produção:
// Consulte 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 pré-construídos

ID do modelo Finalidade
prebuilt-read Extrair texto, linhas, palavras e idiomas
prebuilt-layout Texto, tabelas, marcas de seleção, estrutura
prebuilt-receipt Extração de dados de recibos
fatura-pré-definida Extração de campos da nota fiscal
documento-de-identidade-pré-criado Documentos de identificação (passaporte, carteira de habilitação)
prebuilt-tax.us.w2 Formulários fiscais W2 dos EUA
prebuilt-healthInsuranceCard.us Cartões de seguro de saúde dos EUA
prebuilt-contract Extração de campos de contratos

Modelos descontinuados: prebuilt-businessCard e prebuilt-document foram descontinuados na versão 2024-11-30 da API. Use o pacote legado azure-ai-formrecognizer para esses modelos.

Padrões principais

Análise a partir de um arquivo

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();

Analisar a partir de uma URL

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

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

AnalyzeResult result = poller.getFinalResult();

Extrair layout

AnalyzeResult resultado = poller.getFinalResult();

for (DocumentPage page : result.getPages()) {
    System.out.printf("A página tem largura: %.2f e altura: %.2f, medidas na unidade: %s%n",
        page.getWidth(), page.getHeight(), page.getUnit());

    // Linhas
    for (DocumentLine linha : page.getLines()) {
        System.out.printf("A linha '%s' está dentro da caixa delimitadora %s.%n",
            linha.getContent(), linha.getPolygon());
    }

    // Marcas de seleção
    for (DocumentSelectionMark mark : page.getSelectionMarks()) {
        System.out.printf("A marca de seleção é '%s' com confiança de %.2f.%n",
            mark.getState(), mark.getConfidence());
    }
}

// Tabelas
for (DocumentTable table : result.getTables()) {
    System.out.printf("Tabela: %d linhas x %d colunas%n",
        table.getRowCount(), table.getColumnCount());
    for (DocumentTableCell cell : table.getCells()) {
        System.out.printf("Célula [%d,%d]: %s%n",
            cell.getRowIndex(), cell.getColumnIndex(), cell.getContent());
    }
}

Extrair campos do 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 (confiança: %.2f)%n",
            merchantName.getValueString(), merchantName.getConfidence());
    }

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

Analisar com opções

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

Criar modelo personalizado

String blobContainerUrl = "{SAS_URL_dos_dados_de_treinamento}";

SyncPoller poller =
    adminClient.beginBuildDocumentModel(
        new BuildDocumentModelOptions("meu-modelo-personalizado", DocumentBuildMode.TEMPLATE)
            .setAzureBlobSource(new AzureBlobContentSource(blobContainerUrl)));

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

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

Gerenciar modelos

// Limites 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, Criado em: %s%n",
        model.getModelId(), model.getCreatedOn());
}

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

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

Classificação de documentos

Criação do classificador

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

DocumentClassifierDetails classifier = poller.getFinalResult();

Classificar documento

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

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

Tratamento de erros

import com.azure.core.exception.HttpResponseException;

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

Migração do azure-ai-formrecognizer

Antigo (formrecognizer v4.x) Novo (documentintelligence v1.x)
DocumentAnalysisClient DocumentIntelligenceClient
DocumentAnalysisClientBuilder DocumentIntelligenceClientBuilder
DocumentModelAdministrationClient Cliente de Administração de Inteligência de Documentos
começarAnáliseDeDocumentoA partirDeURL(idDoModelo, url) iniciarAnáliseDeDocumento(idDoModelo, novo AnalyzeDocumentOptions(url))
iniciarAnáliseDeDocumento(idDoModelo, dados) iniciarAnáliseDeDocumento(idDoModelo, novo AnalyzeDocumentOptions(dados))
SyncPoller SyncPoller
field.getValueAsString() field.getValueString()
field.getValueAsDate() campo.getValueDate()
campo.getValueAsDouble() campo.getValueNumber()
campo.getValueAsList() campo.getValueList()
campo.getValueAsMap() campo.getValueObject()
marca.getSelectionMarkState() marca.getState()
adminClient.beginBuildDocumentModel(url, modo, prefixo, opções, ctx) adminClient.beginBuildDocumentModel(new BuildDocumentModelOptions(id, mode).setAzureBlobSource(...))
adminClient.getResourceDetails().getCustomDocumentModelCount() adminClient.getResourceDetails().getCustomDocumentModels().getCount()
FORM_RECOGNIZER_ENDPOINT DOCUMENT_INTELLIGENCE_ENDPOINT

Arquivos de referência

Arquivo Conteúdo
references/examples.md Exemplos completos de código para todos os cenários
Ver no 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 os arquivos

0 arquivos

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Baixe e descompacte os arquivos de habilidades no diretório .claude/skills/.

Baixar ZIP

Clone o repositório e copie os arquivos da habilidade para o seu projeto.

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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Repositório microsoft/skills

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