azure-ai-formrecognizer-java
Lets your agent analyze documents and extract information. It's useful for building programs that read and understand data from various file types. This helps automate gathering information from documents.
What it does
This tool allows computer programs to understand and extract information from documents like invoices, receipts, and forms. It uses artificial intelligence to read text, identify important data (like names, dates, and amounts), and organize this information.
When to use it
- ✓When you need to automatically extract data from many invoices.
- ✓To read information from expense receipts and organize it.
- ✓When processing filled forms to collect specific data.
Example of what to ask your AI
“Extract the merchant name and date from the following invoice: [link to invoice]”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The program sends the document to an Azure artificial intelligence service. This service, trained to recognize different document types, identifies and extracts the requested data, returning it in an organized way for the program to use.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill azure-ai-formrecognizer-javaOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/azure-ai-formrecognizer-java/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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");
…
FAQ
What types of documents can I analyze?
You can analyze receipts, invoices, business cards, ID documents, and tax forms, among others. It's also possible to train the AI to understand custom documents.
Do I need to know how to program to use this?
The tool itself is for programmers, but its output can be used in applications that don't require the end-user to know how to program.
Where is the data processed?
Documents are sent to Azure AI cloud services for analysis.
Details
Original description by the author
Build document analysis applications using the Azure AI Document Intelligence SDK for Java.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2272
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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