azure-ai-formrecognizer-java
microsoft/skills
使用 Azure AI 文件智慧 SDK(Java 版),從文件、收據、發票及身分證明文件中擷取文字、表格、鍵值對及結構化欄位。
...展開全部Azure AI 文件智慧 SDK(Java 版)
品牌更名:Azure AI 表單辨識器現已更名為Azure AI 文件智慧。 新專案應使用
com.azure:azure-ai-documentintelligence。舊版azure-ai-formrecognizer套件僅支援 API 版本 2023-07-31。 請參閱《遷移指南》。
實作前須知
請在microsoft-docsMCP 中搜尋當前的 API 模式:
- 查詢關鍵字:
「azure-ai-documentintelligence Java SDK」 - 確認:參數與已安裝的 SDK 版本相符(最新一般可用版:1.0.7)
安裝
com.azure
azure-ai-documentintelligence
1.0.0
com.azure
azure-identity
1.14.2
環境變數
DOCUMENT_INTELLIGENCE_ENDPOINT=https://.cognitiveservices.azure.com/ # 所有驗證方法皆需此設定
AZURE_TOKEN_CREDENTIALS=prod # 僅當在生產環境中使用 DefaultAzureCredential 時才需此設定
驗證
DefaultAzureCredential(建議使用)
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 憑證 = new DefaultAzureCredentialBuilder()
.requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
.build();
// 或者在生產環境中直接使用特定憑證:
// 請參閱 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 金鑰
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();
管理客戶端
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();
// 或者在生產環境中直接使用特定的憑證:
// 請參閱 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();
非同步客戶端
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 憑證 = new DefaultAzureCredentialBuilder()
.requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
.build();
// 或者在生產環境中直接使用特定憑證:
// 請參閱 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();
預建模型
| 模型 ID | 用途 |
|---|---|
prebuilt-read |
擷取文字、行、單字及語言 |
prebuilt-layout |
文字、表格、選取標記、結構 |
預建式收據 |
收據資料擷取 |
預建發票 |
發票欄位擷取 |
預建-身分證明文件 |
身分證明文件(護照、駕照) |
預建-稅務.us.w2 |
美國 W2 稅表 |
prebuilt-healthInsuranceCard.us |
美國健康保險卡 |
預建合約 |
合約欄位擷取 |
已停用模型:
prebuilt-businessCard和prebuilt-document已於 API 版本 2024-11-30 中停用。請改用舊版azure-ai-formrecognizer套件來處理這些模型。
核心模式
從檔案進行分析
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();
從 URL 進行分析
String documentUrl = "https://example.com/invoice.pdf";
SyncPoller poller =
client.beginAnalyzeDocument("prebuilt-invoice",
new AnalyzeDocumentOptions(documentUrl));
AnalyzeResult result = poller.getFinalResult();
擷取版面配置
AnalyzeResult result = poller.getFinalResult();
for (DocumentPage page : result.getPages()) {
System.out.printf("此頁面的寬度為:%.2f,高度為:%.2f,測量單位為:%s%n",
page.getWidth(), page.getHeight(), page.getUnit());
// 行
for (DocumentLine line : page.getLines()) {
System.out.printf("第 '%s' 行位於邊界框 %s 內。%n",
line.getContent(), line.getPolygon());
}
// 選取標記
for (DocumentSelectionMark mark : page.getSelectionMarks()) {
System.out.printf("選取標記為 '%s',信度為 %.2f。%n",
mark.getState(), mark.getConfidence());
}
}
// 表格
for (DocumentTable table : result.getTables()) {
System.out.printf("表格:%d 行 × %d 欄%n",
table.getRowCount(), table.getColumnCount());
for (DocumentTableCell cell : table.getCells()) {
System.out.printf("儲存格[%d,%d]: %s%n",
cell.getRowIndex(), cell.getColumnIndex(), cell.getContent());
}
}
擷取文件欄位
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("商家:%s (信心值:%.2f)%n",
merchantName.getValueString(), merchantName.getConfidence());
}
DocumentField transactionDate = fields.get("TransactionDate");
if (transactionDate != null && transactionDate.getType() == DocumentFieldType.DATE) {
System.out.printf("日期:%s%n", transactionDate.getValueDate());
}
}
使用選項進行分析
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));
自訂模型
建立自訂模型
String blobContainerUrl = "{SAS_URL_of_training_data}";
SyncPoller poller =
adminClient.beginBuildDocumentModel(
new BuildDocumentModelOptions("my-custom-model", DocumentBuildMode.TEMPLATE)
.setAzureBlobSource(new AzureBlobContentSource(blobContainerUrl)));
DocumentModelDetails model = poller.getFinalResult();
System.out.printf("模型 ID:%s%n", model.getModelId());
System.out.printf("建立時間:%s%n", model.getCreatedOn());
model.getDocumentTypes().forEach((docType, details) -> {
details.getFieldSchema().forEach((field, schema) -> {
System.out.printf("欄位:%s (%s)%n", field, schema.getType());
});
});
管理模型
// 資源限制
DocumentIntelligenceResourceDetails resourceDetails = adminClient.getResourceDetails();
System.out.printf("模型:%d / %d%n",
resourceDetails.getCustomDocumentModels().getCount(),
resourceDetails.getCustomDocumentModels().getLimit());
// 列出模型 models = adminClient.listModels();
for (DocumentModelDetails model : models) {
System.out.printf("模型:%s,建立時間:%s%n",
model.getModelId(), model.getCreatedOn());
}
// 取得模型
DocumentModelDetails model = adminClient.getModel("model-id");
// 刪除模型
adminClient.deleteModel("model-id");
文件分類
建立分類器
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();
分類文件
SyncPoller poller =
client.beginClassifyDocument("my-classifier",
new ClassifyDocumentOptions(documentUrl));
AnalyzeResult result = poller.getFinalResult();
for (AnalyzedDocument doc : result.getDocuments()) {
System.out.printf("分類結果:%s (信度:%.2f)%n",
doc.getDocumentType(), doc.getConfidence());
}
錯誤處理
import com.azure.core.exception.HttpResponseException;
try {
client.beginAnalyzeDocument("prebuilt-receipt",
new AnalyzeDocumentOptions("invalid-url"));
} catch (HttpResponseException e) {
System.out.printf("狀態:%d,錯誤:%s%n",
e.getResponse().getStatusCode(), e.getMessage());
}
從 azure-ai-formrecognizer 遷移
| 舊版(formrecognizer v4.x) | 新版 (documentintelligence v1.x) |
|---|---|
DocumentAnalysisClient |
DocumentIntelligenceClient |
DocumentAnalysisClientBuilder |
DocumentIntelligenceClientBuilder |
文件模型管理客戶端 |
文件智慧管理客戶端 |
beginAnalyzeDocumentFromUrl(modelId, url) |
開始分析文件 (modelId, new AnalyzeDocumentOptions(url)) |
開始分析文件 (modelId, data) |
開始分析文件(modelId, new 文件分析選項(data)) |
同步擷取器 |
SyncPoller |
field.getValueAsString() |
field.getValueAsString() |
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 |
參考檔案
| 檔案 | 目錄 |
|---|---|
| references/examples.md | 所有情境的完整程式碼範例 |
---
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 |
所有檔案
0 個檔案安裝 azure-ai-formrecognizer-java
請下載並將技能檔案解壓縮至您的 .claude/skills/ 目錄中。
下載 ZIP複製儲存庫並將技能檔案複製到您的專案中。
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
複製





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