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azure-ai-formrecognizer-java

Build document analysis applications using the Azure AI Document Intelligence SDK for Java.

Skill by sickn33

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Build document analysis applications using the Azure AI Document Intelligence SDK for Java.

Use cases: documents, cloud

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/azure-ai-formrecognizer-java

What's inside

Skill name
azure-ai-formrecognizer-java
Description
Build document analysis applications using the Azure AI Document Intelligence SDK for Java.
License
MIT
Instructions
349 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Azure Document Intelligence (Form Recognizer) SDK for Java

Build document analysis applications using the Azure AI Document Intelligence SDK for Java.

## Version and document boundaries

These examples target the legacy azure-ai-formrecognizer API and a prerelease dependency; verify the selected artifact/service API and supported model IDs before use, rather than assuming parity with newer Document Intelligence SDKs. Obtain permission before uploading documents, especially identity and financial records; use short-lived narrowly scoped SAS URLs and never log their query strings or extracted content. Build/delete model operations change billable resources. OCR fields and confidence are uncertain: check null/type for each nested Items field before calling its typed getter, validate results against source documents, and handle terminal polling failures/timeouts as well as initiation errors. Client declarations are alternative independent snippets, not one compilable file.

## Installation

```xml
<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-ai-formrecognizer</artifactId>
    <version>4.2.0-beta.1</version>
</dependency>
```

## Client Creation

### DocumentAnalysisClient

```java
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

```java
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

```java
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

```java
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());
    }

From sickn33/agentic-awesome-skills, MIT.

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Stars
48,428
Forks
7,039
Open issues
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Last commit (this folder)
Oct 24, 2026 (6 days ago)
Last release
Oct 24, 2026 (6 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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azure-ai-formrecognizer-java skill. Agent Mart. https://agentmart.dev/skills/sickn33-azure-ai-formrecognizer-java (last updated 2026-10-24)