azure-ai-formrecognizer-java

azure-ai-formrecognizer-java is a skill for Claude Code from lucaspmarie-a11y/claude-skills-vault. It costs 21 tokens per session (2,312 once invoked), scanned A, a copy of azure-ai-formrecognizer-java, MIT.

A Java client library for Azure Document Intelligence, a service that reads documents and returns their text, tables, and structured fields. It supports both ready-made and custom models.

In plain words
What is it for?
Use it to analyze documents, extract text and tables, and retrieve structured values in Java applications.
Why use it?
It removes the need to write separate parsing logic for every document layout. Applications can turn scanned or structured documents into data they can process.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the antigravity-awesome-skills plugin — 199 skills shipped together

Good fit Use it to analyze documents, extract text and tables, and retrieve structured values in Java applications.

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Install with agentmods
npx agentmods add skills/lucaspmarie-a11y/claude-skills-vault/azure-ai-formrecognizer-java
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add lucaspmarie-a11y/claude-skills-vault --skill azure-ai-formrecognizer-java
Clone the repo
git clone --depth 1 https://github.com/lucaspmarie-a11y/claude-skills-vault

Made for: Claude Code.

Or install antigravity-awesome-skills, the plugin that ships this one along with the rest of its 199 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

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README.md
[![agentmods](https://agentmods.dev/badge/skills/lucaspmarie-a11y/claude-skills-vault/azure-ai-formrecognizer-java/github.svg)](https://agentmods.dev/skills/lucaspmarie-a11y/claude-skills-vault/azure-ai-formrecognizer-java)
Your own site
<a href="https://agentmods.dev/skills/lucaspmarie-a11y/claude-skills-vault/azure-ai-formrecognizer-java"><img src="https://agentmods.dev/badge/skills/lucaspmarie-a11y/claude-skills-vault/azure-ai-formrecognizer-java/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/lucaspmarie-a11y/claude-skills-vault/azure-ai-formrecognizer-java"><img src="https://agentmods.dev/badge/skills/lucaspmarie-a11y/claude-skills-vault/azure-ai-formrecognizer-java.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,312 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.02312
Opus 5 $0.00010 $0.01156
Sonnet 5 $0.00004 $0.00462
Haiku 4.5 $0.00002 $0.00231

Measured 7d ago against content hash 2535750c59f7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

azure-ai-formrecognizer-java scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

89% identical to azure-ai-formrecognizer-java — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/antigravity-awesome-skills-claude/skills/azure-ai-formrecognizer-java/SKILL.md · 347 lines

How it starts

The opening of the file, as written. The whole thing — 347 lines — stays where its author put it; the contents beside it link to each section on 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());
    }
}

Read the full file on GitHub · 347 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 347 lines · 21 tokens per session scan A 2535750c59f7

Subscribe to this mod's changes

azure-ai-formrecognizer-java is a skill published in the GitHub repository lucaspmarie-a11y/claude-skills-vault (5 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 2,312 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to azure-ai-formrecognizer-java, differing in 4 lines, and is treated as a copy.

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