azure-ai-formrecognizer-java
Build document analysis applications using the Azure AI Document Intelligence SDK for Java.
- License 许可
- MIT
- 最近更新
- 2026-04-14
- Stars
- ★ 0
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01 前言 Front Matter
- name
- azure-ai-formrecognizer-java
- risk
- unknown
- source
- community
- date_added
- 2026-02-27
- description
- Build document analysis applications using the Azure AI Document Intelligence SDK for Java.
03 SKILL.md 正文
Azure Document Intelligence (Form Recognizer) SDK for Java
Build document analysis applications using the Azure AI Document Intelligence SDK for Java.
Installation
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-ai-formrecognizer</artifactId>
<version>4.2.0-beta.1</version>
</dependency>
Client Creation
DocumentAnalysisClient
import com.azure.ai.formrecognizer.documentanalysis.DocumentAnalysisClient;
import com.azure.ai.formrecognizer.documentanalysis.DocumentAnalysisClientBuilder;
import com.azure.core.credential.AzureKeyCredential;
DocumentAnalysisClient client = new DocumentAnalysisClientBuilder()
.credential(new AzureKeyCredential("{key}"))
.endpoint("{endpoint}")
.buildClient();
DocumentModelAdministrationClient
import com.azure.ai.formrecognizer.documentanalysis.administration.DocumentModelAdministrationClient;
import com.azure.ai.formrecognizer.documentanalysis.administration.DocumentModelAdministrationClientBuilder;
DocumentModelAdministrationClient adminClient = new DocumentModelAdministrationClientBuilder()
.credential(new AzureKeyCredential("{key}"))
.endpoint("{endpoint}")
.buildClient();
With DefaultAzureCredential
import com.azure.identity.DefaultAzureCredentialBuilder;
DocumentAnalysisClient client = new DocumentAnalysisClientBuilder()
.endpoint("{endpoint}")
.credential(new DefaultAzureCredentialBuilder().build())
.buildClient();
Prebuilt Models
| Model ID | Purpose |
|---|---|
prebuilt-layout |
Extract text, tables, selection marks |
prebuilt-document |
General document with key-value pairs |
prebuilt-receipt |
Receipt data extraction |
prebuilt-invoice |
Invoice field extraction |
prebuilt-businessCard |
Business card parsing |
prebuilt-idDocument |
ID document (passport, license) |
prebuilt-tax.us.w2 |
US W2 tax forms |
Core Patterns
Extract Layout
import com.azure.ai.formrecognizer.documentanalysis.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());
SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginAnalyzeDocument("prebuilt-layout", documentData);
AnalyzeResult result = poller.getFinalResult();
// Process pages
for (DocumentPage page : result.getPages()) {
System.out.printf("Page %d: %.2f x %.2f %s%n",
page.getPageNumber(),
page.getWidth(),
page.getHeight(),
page.getUnit());
// Lines
for (DocumentLine line : page.getLines()) {
System.out.println("Line: " + line.getContent());
}
// Selection marks (checkboxes)
for (DocumentSelectionMark mark : page.getSelectionMarks()) {
System.out.printf("Checkbox: %s (confidence: %.2f)%n",
mark.getSelectionMarkState(),
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());
}
}
Analyze from URL
String documentUrl = "https://example.com/invoice.pdf";
SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginAnalyzeDocumentFromUrl("prebuilt-invoice", documentUrl);
AnalyzeResult result = poller.getFinalResult();
Analyze Receipt
SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginAnalyzeDocumentFromUrl("prebuilt-receipt", 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.getValueAsString(),
merchantName.getConfidence());
}
DocumentField transactionDate = fields.get("TransactionDate");
if (transactionDate != null && transactionDate.getType() == DocumentFieldType.DATE) {
System.out.printf("Date: %s%n", transactionDate.getValueAsDate());
}
DocumentField items = fields.get("Items");
if (items != null && items.getType() == DocumentFieldType.LIST) {
for (DocumentField item : items.getValueAsList()) {
Map<String, DocumentField> itemFields = item.getValueAsMap();
System.out.printf("Item: %s, Price: %.2f%n",
itemFields.get("Name").getValueAsString(),
itemFields.get("Price").getValueAsDouble());
}
}
}
General Document Analysis
SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginAnalyzeDocumentFromUrl("prebuilt-document", documentUrl);
AnalyzeResult result = poller.getFinalResult();
// Key-value pairs
for (DocumentKeyValuePair kvp : result.getKeyValuePairs()) {
System.out.printf("Key: %s => Value: %s%n",
kvp.getKey().getContent(),
kvp.getValue() != null ? kvp.getValue().getContent() : "null");
}
Custom Models
Build Custom Model
import com.azure.ai.formrecognizer.documentanalysis.administration.models.*;
String blobContainerUrl = "{SAS_URL_of_training_data}";
String prefix = "training-docs/";
SyncPoller<OperationResult, DocumentModelDetails> poller = adminClient.beginBuildDocumentModel(
blobContainerUrl,
DocumentModelBuildMode.TEMPLATE,
prefix,
new BuildDocumentModelOptions()
.setModelId("my-custom-model")
.setDescription("Custom invoice model"),
Context.NONE);
DocumentModelDetails model = poller.getFinalResult();
System.out.println("Model ID: " + model.getModelId());
System.out.println("Created: " + model.getCreatedOn());
model.getDocumentTypes().forEach((docType, details) -> {
System.out.println("Document type: " + docType);
details.getFieldSchema().forEach((field, schema) -> {
System.out.printf(" Field: %s (%s)%n", field, schema.getType());
});
});
Analyze with Custom Model
SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginAnalyzeDocumentFromUrl("my-custom-model", documentUrl);
AnalyzeResult result = poller.getFinalResult();
for (AnalyzedDocument doc : result.getDocuments()) {
System.out.printf("Document type: %s (confidence: %.2f)%n",
doc.getDocType(),
doc.getConfidence());
doc.getFields().forEach((name, field) -> {
System.out.printf("Field '%s': %s (confidence: %.2f)%n",
name,
field.getContent(),
field.getConfidence());
});
}
Compose Models
List<String> modelIds = Arrays.asList("model-1", "model-2", "model-3");
SyncPoller<OperationResult, DocumentModelDetails> poller =
adminClient.beginComposeDocumentModel(
modelIds,
new ComposeDocumentModelOptions()
.setModelId("composed-model")
.setDescription("Composed from multiple models"));
DocumentModelDetails composedModel = poller.getFinalResult();
Manage Models
// List models
PagedIterable<DocumentModelSummary> models = adminClient.listDocumentModels();
for (DocumentModelSummary summary : models) {
System.out.printf("Model: %s, Created: %s%n",
summary.getModelId(),
summary.getCreatedOn());
}
// Get model details
DocumentModelDetails model = adminClient.getDocumentModel("model-id");
// Delete model
adminClient.deleteDocumentModel("model-id");
// Check resource limits
ResourceDetails resources = adminClient.getResourceDetails();
System.out.printf("Models: %d / %d%n",
resources.getCustomDocumentModelCount(),
resources.getCustomDocumentModelLimit());
Document Classification
Build Classifier
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<OperationResult, DocumentClassifierDetails> poller =
adminClient.beginBuildDocumentClassifier(docTypes,
new BuildDocumentClassifierOptions().setClassifierId("my-classifier"));
DocumentClassifierDetails classifier = poller.getFinalResult();
Classify Document
SyncPoller<OperationResult, AnalyzeResult> poller =
client.beginClassifyDocumentFromUrl("my-classifier", documentUrl, Context.NONE);
AnalyzeResult result = poller.getFinalResult();
for (AnalyzedDocument doc : result.getDocuments()) {
System.out.printf("Classified as: %s (confidence: %.2f)%n",
doc.getDocType(),
doc.getConfidence());
}
Error Handling
import com.azure.core.exception.HttpResponseException;
try {
client.beginAnalyzeDocumentFromUrl("prebuilt-receipt", "invalid-url");
} catch (HttpResponseException e) {
System.out.println("Status: " + e.getResponse().getStatusCode());
System.out.println("Error: " + e.getMessage());
}
Environment Variables
FORM_RECOGNIZER_ENDPOINT=https://<resource>.cognitiveservices.azure.com/
FORM_RECOGNIZER_KEY=<your-api-key>
Trigger Phrases
- "document intelligence Java"
- "form recognizer SDK"
- "extract text from PDF"
- "OCR document Java"
- "analyze invoice receipt"
- "custom document model"
- "document classification"
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
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