Azure AI Formrecognizer Java
aiskillstore/marketplace
Build document analysis applications using the Azure AI Document Intelligence SDK for Java.
Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence).
$ npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/skills azure-ai-formrecognizer-java --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java .claude/skills/azure-ai-formrecognizer-java && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "azure-ai-formrecognizer-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java into .claude/skills/azure-ai-formrecognizer-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ai-formrecognizer-java", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-javaType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/skills azure-ai-formrecognizer-java --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java .agents/skills/azure-ai-formrecognizer-java && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "azure-ai-formrecognizer-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java into .agents/skills/azure-ai-formrecognizer-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ai-formrecognizer-java", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/skills azure-ai-formrecognizer-java --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java .cursor/skills/azure-ai-formrecognizer-java && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "azure-ai-formrecognizer-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java into .cursor/skills/azure-ai-formrecognizer-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ai-formrecognizer-java", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/microsoft/skills.git --path .github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/skills azure-ai-formrecognizer-java --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java .gemini/skills/azure-ai-formrecognizer-java && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "azure-ai-formrecognizer-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java into .gemini/skills/azure-ai-formrecognizer-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ai-formrecognizer-java", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install microsoft/skills azure-ai-formrecognizer-javaInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java .github/skills/azure-ai-formrecognizer-java && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "azure-ai-formrecognizer-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java into .github/skills/azure-ai-formrecognizer-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ai-formrecognizer-java", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install microsoft/skills azure-ai-formrecognizer-java --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java .opencode/skills/azure-ai-formrecognizer-java && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "azure-ai-formrecognizer-java" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java into .opencode/skills/azure-ai-formrecognizer-java/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-ai-formrecognizer-java", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
azure-ai-formrecognizer-javaAzure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence).
Azure AI Formrecognizer Java is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence). Use for extracting text, tables, key-value pairs from documents, receipts, invoices, IDs, or building custom document models. Triggers: "document intelligence java", "form recognizer java", "extract text from PDF java", "OCR document java", "analyze invoice receipt java", "custom document model java", "document classification java".
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/examples.md`).
It sits in Documents & Office, covering Forms and invoices. It works with Microsoft Azure, Java and Azure AI Document Intelligence. The repository describes itself as: Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents. The licence is MIT.
Read from SKILL.md and the folder at commit 354361d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are java, xml and bash).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
learn.microsoft.comAlso links to:
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
AZURE_TOKEN_CREDENTIALSDOCUMENT_INTELLIGENCE_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Azure AI Formrecognizer Java loads about 3.4k tokens when it runs, and up to ~8.6k if it reads all its reference files. Until then it costs about 113 tokens; SKILL.md has 228 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from microsoft/skills at commit 354361d, republished under its MIT licence (© microsoft). 228 words, ~3,350 tokens.
.claude/skills/azure-ai-formrecognizer-java/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Rebranding: Azure AI Form Recognizer is now Azure AI Document Intelligence. New projects should use
com.azure:azure-ai-documentintelligence. The legacyazure-ai-formrecognizerpackage targets API version 2023-07-31 only. See Migration Guide.
Search microsoft-docs MCP for current API patterns:
"azure-ai-documentintelligence Java SDK"<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>DOCUMENT_INTELLIGENCE_ENDPOINT=https://<resource>.cognitiveservices.azure.com/ # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in productionimport 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();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();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();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();| 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-businessCardandprebuilt-documentare retired in API version 2024-11-30. Use the legacyazure-ai-formrecognizerpackage for these.
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();String documentUrl = "https://example.com/invoice.pdf";
SyncPoller<AnalyzeOperationDetails, AnalyzeResult> poller =
client.beginAnalyzeDocument("prebuilt-invoice",
new AnalyzeDocumentOptions(documentUrl));
AnalyzeResult result = poller.getFinalResult();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());
}
}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());
}
}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));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());
});
});// 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");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();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());
}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());
}| 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 |
| File | Contents |
|---|---|
| references/examples.md | Complete code examples for all scenarios |
© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in .github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java of microsoft/skills.
Open the folder on GitHubat commit 354361d
Azure AI Formrecognizer Java next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Azure AI Formrecognizer Java this skillmicrosoft/skills | 3.1k | — | ~3.4k | Automated safety check: Pass | MIT | |
| Azure AI Formrecognizer Javaaiskillstore/marketplace | 430 | 5 repos | ~2.6k | Automated safety check: Pass | None | |
| Doc ProcessLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.2k | Automated safety check: Notes | MIT | |
| Telnyx Account Javamajiayu000/claude-skill-registry | 666 | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Extend Commands APIredis/lettuce | 5.8k | — | ~7.7k | Automated safety check: Notes | MIT | |
| Writing Javadocredis/lettuce | 5.8k | — | ~809 | Automated safety check: Pass | MIT |
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Categories
Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence). Azure AI Formrecognizer Java is an agent skill from microsoft/skills, published by the product's own GitHub organization.azure:azure-ai-documentintelligence).
Azure AI Formrecognizer Java fits situations like: extracting text; key-value pairs from documents; building custom document models.
Run `npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a claude-code`. Or copy the skill folder (.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java in microsoft/skills) into .claude/skills/azure-ai-formrecognizer-java in your project. Claude Code loads it when a task matches its description.
Run `npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a codex`. Or copy the skill folder (.github/plugins/azure-sdk-java/skills/azure-ai-formrecognizer-java in microsoft/skills) into .agents/skills/azure-ai-formrecognizer-java in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/skills --skill azure-ai-formrecognizer-java -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-ai-formrecognizer-java, .gemini/skills/azure-ai-formrecognizer-java, .github/skills/azure-ai-formrecognizer-java and .opencode/skills/azure-ai-formrecognizer-java in your project.
Going by SKILL.md and its folder, Azure AI Formrecognizer Java needs credentials named AZURE_TOKEN_CREDENTIALS and DOCUMENT_INTELLIGENCE_KEY. Our summary lists: A credential in DOCUMENT_INTELLIGENCE_KEY.
SKILL.md names 2 domains. In commands or code: learn.microsoft.com; the agent is likely to contact it when it follows the instructions. As links in the text: github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Azure AI Formrecognizer Java is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.4k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Azure AI Formrecognizer Java: Azure AI Formrecognizer Java (aiskillstore/marketplace, 430 stars), Doc Process (LeoYeAI/openclaw-master-skills, 2.2k stars), Telnyx Account Java (majiayu000/claude-skill-registry, 666 stars) and Extend Commands API (redis/lettuce, 5.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
microsoft (a GitHub organization, an official publisher) maintains it in microsoft/skills, which has 3,086 GitHub stars. The repository holds 150 skills in this directory. The repository was last updated on October 6, 2026.
Source: microsoft/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.