[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6XEFGFD1888KSG0TC9TP6MZ":3,"skill-same:01M6XEFGFD1888KSG0TC9TP6MZ":59},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":39,"commitSha":40,"skillDirectory":41,"forksCount":14,"repositoryHtmlUrl":42,"repositoryHomepageUrl":6,"ownerHtmlUrl":43,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":44,"install":45,"resources":58},"01M6XEFGFD1888KSG0TC9TP6MZ","azure-ai-formrecognizer-java",null,"Build document analysis applications using the Azure AI Document Intelligence SDK for Java.","sapsapshen\u002Fai-memory-router","sapsapshen","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F20347959?v=4","01M6XDQEF1DP50DKF37H81J3J5","shenmian","01M6XDQEJPE41Y3DT2763X8ZJN",0,"MIT","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcopilot\u002Fazure-ai-formrecognizer-java\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32],"azure ai","azure","azure ai formrecognizer java","java","sdk","applications","analysis","document","build","community","intelligence","for","unknown","2026","2026-11-10 10:12:30",false,"---\nname: azure-ai-formrecognizer-java\ndescription: \"Build document analysis applications using the Azure AI Document Intelligence SDK for Java.\"\nrisk: unknown\nsource: community\ndate_added: \"2026-02-27\"\n---\n\n# Azure Document Intelligence (Form Recognizer) SDK for Java\n\nBuild document analysis applications using the Azure AI Document Intelligence SDK for Java.\n\n## Installation\n\n```xml\n\u003Cdependency>\n    \u003CgroupId>com.azure\u003C\u002FgroupId>\n    \u003CartifactId>azure-ai-formrecognizer\u003C\u002FartifactId>\n    \u003Cversion>4.2.0-beta.1\u003C\u002Fversion>\n\u003C\u002Fdependency>\n```\n\n## Client Creation\n\n### DocumentAnalysisClient\n\n```java\nimport com.azure.ai.formrecognizer.documentanalysis.DocumentAnalysisClient;\nimport com.azure.ai.formrecognizer.documentanalysis.DocumentAnalysisClientBuilder;\nimport com.azure.core.credential.AzureKeyCredential;\n\nDocumentAnalysisClient client = new DocumentAnalysisClientBuilder()\n    .credential(new AzureKeyCredential(\"{key}\"))\n    .endpoint(\"{endpoint}\")\n    .buildClient();\n```\n\n### DocumentModelAdministrationClient\n\n```java\nimport com.azure.ai.formrecognizer.documentanalysis.administration.DocumentModelAdministrationClient;\nimport com.azure.ai.formrecognizer.documentanalysis.administration.DocumentModelAdministrationClientBuilder;\n\nDocumentModelAdministrationClient adminClient = new DocumentModelAdministrationClientBuilder()\n    .credential(new AzureKeyCredential(\"{key}\"))\n    .endpoint(\"{endpoint}\")\n    .buildClient();\n```\n\n### With DefaultAzureCredential\n\n```java\nimport com.azure.identity.DefaultAzureCredentialBuilder;\n\nDocumentAnalysisClient client = new DocumentAnalysisClientBuilder()\n    .endpoint(\"{endpoint}\")\n    .credential(new DefaultAzureCredentialBuilder().build())\n    .buildClient();\n```\n\n## Prebuilt Models\n\n| Model ID | Purpose |\n|----------|---------|\n| `prebuilt-layout` | Extract text, tables, selection marks |\n| `prebuilt-document` | General document with key-value pairs |\n| `prebuilt-receipt` | Receipt data extraction |\n| `prebuilt-invoice` | Invoice field extraction |\n| `prebuilt-businessCard` | Business card parsing |\n| `prebuilt-idDocument` | ID document (passport, license) |\n| `prebuilt-tax.us.w2` | US W2 tax forms |\n\n## Core Patterns\n\n### Extract Layout\n\n```java\nimport com.azure.ai.formrecognizer.documentanalysis.models.*;\nimport com.azure.core.util.BinaryData;\nimport com.azure.core.util.polling.SyncPoller;\nimport java.io.File;\n\nFile document = new File(\"document.pdf\");\nBinaryData documentData = BinaryData.fromFile(document.toPath());\n\nSyncPoller\u003COperationResult, AnalyzeResult> poller = \n    client.beginAnalyzeDocument(\"prebuilt-layout\", documentData);\n\nAnalyzeResult result = poller.getFinalResult();\n\n\u002F\u002F Process pages\nfor (DocumentPage page : result.getPages()) {\n    System.out.printf(\"Page %d: %.2f x %.2f %s%n\",\n        page.getPageNumber(),\n        page.getWidth(),\n        page.getHeight(),\n        page.getUnit());\n    \n    \u002F\u002F Lines\n    for (DocumentLine line : page.getLines()) {\n        System.out.println(\"Line: \" + line.getContent());\n    }\n    \n    \u002F\u002F Selection marks (checkboxes)\n    for (DocumentSelectionMark mark : page.getSelectionMarks()) {\n        System.out.printf(\"Checkbox: %s (confidence: %.2f)%n\",\n            mark.getSelectionMarkState(),\n            mark.getConfidence());\n    }\n}\n\n\u002F\u002F Tables\nfor (DocumentTable table : result.getTables()) {\n    System.out.printf(\"Table: %d rows x %d columns%n\",\n        table.getRowCount(),\n        table.getColumnCount());\n    \n    for (DocumentTableCell cell : table.getCells()) {\n        System.out.printf(\"Cell[%d,%d]: %s%n\",\n            cell.getRowIndex(),\n            cell.getColumnIndex(),\n            cell.getContent());\n    }\n}\n```\n\n### Analyze from URL\n\n```java\nString documentUrl = \"https:\u002F\u002Fexample.com\u002Finvoice.pdf\";\n\nSyncPoller\u003COperationResult, AnalyzeResult> poller = \n    client.beginAnalyzeDocumentFromUrl(\"prebuilt-invoice\", documentUrl);\n\nAnalyzeResult result = poller.getFinalResult();\n```\n\n### Analyze Receipt\n\n```java\nSyncPoller\u003COperationResult, AnalyzeResult> poller = \n    client.beginAnalyzeDocumentFromUrl(\"prebuilt-receipt\", receiptUrl);\n\nAnalyzeResult result = poller.getFinalResult();\n\nfor (AnalyzedDocument doc : result.getDocuments()) {\n    Map\u003CString, DocumentField> fields = doc.getFields();\n    \n    DocumentField merchantName = fields.get(\"MerchantName\");\n    if (merchantName != null && merchantName.getType() == DocumentFieldType.STRING) {\n        System.out.printf(\"Merchant: %s (confidence: %.2f)%n\",\n            merchantName.getValueAsString(),\n            merchantName.getConfidence());\n    }\n    \n    DocumentField transactionDate = fields.get(\"TransactionDate\");\n    if (transactionDate != null && transactionDate.getType() == DocumentFieldType.DATE) {\n        System.out.printf(\"Date: %s%n\", transactionDate.getValueAsDate());\n    }\n    \n    DocumentField items = fields.get(\"Items\");\n    if (items != null && items.getType() == DocumentFieldType.LIST) {\n        for (DocumentField item : items.getValueAsList()) {\n            Map\u003CString, DocumentField> itemFields = item.getValueAsMap();\n            System.out.printf(\"Item: %s, Price: %.2f%n\",\n                itemFields.get(\"Name\").getValueAsString(),\n                itemFields.get(\"Price\").getValueAsDouble());\n        }\n    }\n}\n```\n\n### General Document Analysis\n\n```java\nSyncPoller\u003COperationResult, AnalyzeResult> poller = \n    client.beginAnalyzeDocumentFromUrl(\"prebuilt-document\", documentUrl);\n\nAnalyzeResult result = poller.getFinalResult();\n\n\u002F\u002F Key-value pairs\nfor (DocumentKeyValuePair kvp : result.getKeyValuePairs()) {\n    System.out.printf(\"Key: %s => Value: %s%n\",\n        kvp.getKey().getContent(),\n        kvp.getValue() != null ? kvp.getValue().getContent() : \"null\");\n}\n```\n\n## Custom Models\n\n### Build Custom Model\n\n```java\nimport com.azure.ai.formrecognizer.documentanalysis.administration.models.*;\n\nString blobContainerUrl = \"{SAS_URL_of_training_data}\";\nString prefix = \"training-docs\u002F\";\n\nSyncPoller\u003COperationResult, DocumentModelDetails> poller = adminClient.beginBuildDocumentModel(\n    blobContainerUrl,\n    DocumentModelBuildMode.TEMPLATE,\n    prefix,\n    new BuildDocumentModelOptions()\n        .setModelId(\"my-custom-model\")\n        .setDescription(\"Custom invoice model\"),\n    Context.NONE);\n\nDocumentModelDetails model = poller.getFinalResult();\n\nSystem.out.println(\"Model ID: \" + model.getModelId());\nSystem.out.println(\"Created: \" + model.getCreatedOn());\n\nmodel.getDocumentTypes().forEach((docType, details) -> {\n    System.out.println(\"Document type: \" + docType);\n    details.getFieldSchema().forEach((field, schema) -> {\n        System.out.printf(\"  Field: %s (%s)%n\", field, schema.getType());\n    });\n});\n```\n\n### Analyze with Custom Model\n\n```java\nSyncPoller\u003COperationResult, AnalyzeResult> poller = \n    client.beginAnalyzeDocumentFromUrl(\"my-custom-model\", documentUrl);\n\nAnalyzeResult result = poller.getFinalResult();\n\nfor (AnalyzedDocument doc : result.getDocuments()) {\n    System.out.printf(\"Document type: %s (confidence: %.2f)%n\",\n        doc.getDocType(),\n        doc.getConfidence());\n    \n    doc.getFields().forEach((name, field) -> {\n        System.out.printf(\"Field '%s': %s (confidence: %.2f)%n\",\n            name,\n            field.getContent(),\n            field.getConfidence());\n    });\n}\n```\n\n### Compose Models\n\n```java\nList\u003CString> modelIds = Arrays.asList(\"model-1\", \"model-2\", \"model-3\");\n\nSyncPoller\u003COperationResult, DocumentModelDetails> poller = \n    adminClient.beginComposeDocumentModel(\n        modelIds,\n        new ComposeDocumentModelOptions()\n            .setModelId(\"composed-model\")\n            .setDescription(\"Composed from multiple models\"));\n\nDocumentModelDetails composedModel = poller.getFinalResult();\n```\n\n### Manage Models\n\n```java\n\u002F\u002F List models\nPagedIterable\u003CDocumentModelSummary> models = adminClient.listDocumentModels();\nfor (DocumentModelSummary summary : models) {\n    System.out.printf(\"Model: %s, Created: %s%n\",\n        summary.getModelId(),\n        summary.getCreatedOn());\n}\n\n\u002F\u002F Get model details\nDocumentModelDetails model = adminClient.getDocumentModel(\"model-id\");\n\n\u002F\u002F Delete model\nadminClient.deleteDocumentModel(\"model-id\");\n\n\u002F\u002F Check resource limits\nResourceDetails resources = adminClient.getResourceDetails();\nSystem.out.printf(\"Models: %d \u002F %d%n\",\n    resources.getCustomDocumentModelCount(),\n    resources.getCustomDocumentModelLimit());\n```\n\n## Document Classification\n\n### Build Classifier\n\n```java\nMap\u003CString, ClassifierDocumentTypeDetails> docTypes = new HashMap\u003C>();\ndocTypes.put(\"invoice\", new ClassifierDocumentTypeDetails()\n    .setAzureBlobSource(new AzureBlobContentSource(containerUrl).setPrefix(\"invoices\u002F\")));\ndocTypes.put(\"receipt\", new ClassifierDocumentTypeDetails()\n    .setAzureBlobSource(new AzureBlobContentSource(containerUrl).setPrefix(\"receipts\u002F\")));\n\nSyncPoller\u003COperationResult, DocumentClassifierDetails> poller = \n    adminClient.beginBuildDocumentClassifier(docTypes,\n        new BuildDocumentClassifierOptions().setClassifierId(\"my-classifier\"));\n\nDocumentClassifierDetails classifier = poller.getFinalResult();\n```\n\n### Classify Document\n\n```java\nSyncPoller\u003COperationResult, AnalyzeResult> poller = \n    client.beginClassifyDocumentFromUrl(\"my-classifier\", documentUrl, Context.NONE);\n\nAnalyzeResult result = poller.getFinalResult();\n\nfor (AnalyzedDocument doc : result.getDocuments()) {\n    System.out.printf(\"Classified as: %s (confidence: %.2f)%n\",\n        doc.getDocType(),\n        doc.getConfidence());\n}\n```\n\n## Error Handling\n\n```java\nimport com.azure.core.exception.HttpResponseException;\n\ntry {\n    client.beginAnalyzeDocumentFromUrl(\"prebuilt-receipt\", \"invalid-url\");\n} catch (HttpResponseException e) {\n    System.out.println(\"Status: \" + e.getResponse().getStatusCode());\n    System.out.println(\"Error: \" + e.getMessage());\n}\n```\n\n## Environment Variables\n\n```bash\nFORM_RECOGNIZER_ENDPOINT=https:\u002F\u002F\u003Cresource>.cognitiveservices.azure.com\u002F\nFORM_RECOGNIZER_KEY=\u003Cyour-api-key>\n```\n\n## Trigger Phrases\n\n- \"document intelligence Java\"\n- \"form recognizer SDK\"\n- \"extract text from PDF\"\n- \"OCR document Java\"\n- \"analyze invoice receipt\"\n- \"custom document model\"\n- \"document classification\"\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n","# Azure Document Intelligence (Form Recognizer) SDK for Java\n\nBuild document analysis applications using the Azure AI Document Intelligence SDK for Java.\n\n## Installation\n\n```xml\n\u003Cdependency>\n    \u003CgroupId>com.azure\u003C\u002FgroupId>\n    \u003CartifactId>azure-ai-formrecognizer\u003C\u002FartifactId>\n    \u003Cversion>4.2.0-beta.1\u003C\u002Fversion>\n\u003C\u002Fdependency>\n```\n\n## Client Creation\n\n### DocumentAnalysisClient\n\n```java\nimport com.azure.ai.formrecognizer.documentanalysis.DocumentAnalysisClient;\nimport com.azure.ai.formrecognizer.documentanalysis.DocumentAnalysisClientBuilder;\nimport com.azure.core.credential.AzureKeyCredential;\n\nDocumentAnalysisClient client = new DocumentAnalysisClientBuilder()\n    .credential(new AzureKeyCredential(\"{key}\"))\n    .endpoint(\"{endpoint}\")\n    .buildClient();\n```\n\n### DocumentModelAdministrationClient\n\n```java\nimport com.azure.ai.formrecognizer.documentanalysis.administration.DocumentModelAdministrationClient;\nimport com.azure.ai.formrecognizer.documentanalysis.administration.DocumentModelAdministrationClientBuilder;\n\nDocumentModelAdministrationClient adminClient = new DocumentModelAdministrationClientBuilder()\n    .credential(new AzureKeyCredential(\"{key}\"))\n    .endpoint(\"{endpoint}\")\n    .buildClient();\n```\n\n### With DefaultAzureCredential\n\n```java\nimport com.azure.identity.DefaultAzureCredentialBuilder;\n\nDocumentAnalysisClient client = new DocumentAnalysisClientBuilder()\n    .endpoint(\"{endpoint}\")\n    .credential(new DefaultAzureCredentialBuilder().build())\n    .buildClient();\n```\n\n## Prebuilt Models\n\n| Model ID | Purpose |\n|----------|---------|\n| `prebuilt-layout` | Extract text, tables, selection marks |\n| `prebuilt-document` | General document with key-value pairs |\n| `prebuilt-receipt` | Receipt data extraction |\n| `prebuilt-invoice` | Invoice field extraction |\n| `prebuilt-businessCard` | Business card parsing |\n| `prebuilt-idDocument` | ID document (passport, license) |\n| `prebuilt-tax.us.w2` | US W2 tax forms |\n\n## Core Patterns\n\n### Extract Layout\n\n```java\nimport com.azure.ai.formrecognizer.documentanalysis.models.*;\nimport com.azure.core.util.BinaryData;\nimport com.azure.core.util.polling.SyncPoller;\nimport java.io.File;\n\nFile document = new File(\"document.pdf\");\nBinaryData documentData = BinaryData.fromFile(document.toPath());\n\nSyncPoller\u003COperationResult, AnalyzeResult> poller = \n    client.beginAnalyzeDocument(\"prebuilt-layout\", documentData);\n\nAnalyzeResult result = poller.getFinalResult();\n\n\u002F\u002F Process pages\nfor (DocumentPage page : result.getPages()) {\n    System.out.printf(\"Page %d: %.2f x %.2f %s%n\",\n        page.getPageNumber(),\n        page.getWidth(),\n        page.getHeight(),\n        page.getUnit());\n    \n    \u002F\u002F Lines\n    for (DocumentLine line : page.getLines()) {\n        System.out.println(\"Line: \" + line.getContent());\n    }\n    \n    \u002F\u002F Selection marks (checkboxes)\n    for (DocumentSelectionMark mark : page.getSelectionMarks()) {\n        System.out.printf(\"Checkbox: %s (confidence: %.2f)%n\",\n            mark.getSelectionMarkState(),\n            mark.getConfidence());\n    }\n}\n\n\u002F\u002F Tables\nfor (DocumentTable table : result.getTables()) {\n    System.out.printf(\"Table: %d rows x %d columns%n\",\n        table.getRowCount(),\n        table.getColumnCount());\n    \n    for (DocumentTableCell cell : table.getCells()) {\n        System.out.printf(\"Cell[%d,%d]: %s%n\",\n            cell.getRowIndex(),\n            cell.getColumnIndex(),\n            cell.getContent());\n    }\n}\n```\n\n### Analyze from URL\n\n```java\nString documentUrl = \"https:\u002F\u002Fexample.com\u002Finvoice.pdf\";\n\nSyncPoller\u003COperationResult, AnalyzeResult> poller = \n    client.beginAnalyzeDocumentFromUrl(\"prebuilt-invoice\", documentUrl);\n\nAnalyzeResult result = poller.getFinalResult();\n```\n\n### Analyze Receipt\n\n```java\nSyncPoller\u003COperationResult, AnalyzeResult> poller = \n    client.beginAnalyzeDocumentFromUrl(\"prebuilt-receipt\", receiptUrl);\n\nAnalyzeResult result = poller.getFinalResult();\n\nfor (AnalyzedDocument doc : result.getDocuments()) {\n    Map\u003CString, DocumentField> fields = doc.getFields();\n    \n    DocumentField merchantName = fields.get(\"MerchantName\");\n    if (merchantName != null && merchantName.getType() == DocumentFieldType.STRING) {\n        System.out.printf(\"Merchant: %s (confidence: %.2f)%n\",\n            merchantName.getValueAsString(),\n            merchantName.getConfidence());\n    }\n    \n    DocumentField transactionDate = fields.get(\"TransactionDate\");\n    if (transactionDate != null && transactionDate.getType() == DocumentFieldType.DATE) {\n        System.out.printf(\"Date: %s%n\", transactionDate.getValueAsDate());\n    }\n    \n    DocumentField items = fields.get(\"Items\");\n    if (items != null && items.getType() == DocumentFieldType.LIST) {\n        for (DocumentField item : items.getValueAsList()) {\n            Map\u003CString, DocumentField> itemFields = item.getValueAsMap();\n            System.out.printf(\"Item: %s, Price: %.2f%n\",\n                itemFields.get(\"Name\").getValueAsString(),\n                itemFields.get(\"Price\").getValueAsDouble());\n        }\n    }\n}\n```\n\n### General Document Analysis\n\n```java\nSyncPoller\u003COperationResult, AnalyzeResult> poller = \n    client.beginAnalyzeDocumentFromUrl(\"prebuilt-document\", documentUrl);\n\nAnalyzeResult result = poller.getFinalResult();\n\n\u002F\u002F Key-value pairs\nfor (DocumentKeyValuePair kvp : result.getKeyValuePairs()) {\n    System.out.printf(\"Key: %s => Value: %s%n\",\n        kvp.getKey().getContent(),\n        kvp.getValue() != null ? kvp.getValue().getContent() : \"null\");\n}\n```\n\n## Custom Models\n\n### Build Custom Model\n\n```java\nimport com.azure.ai.formrecognizer.documentanalysis.administration.models.*;\n\nString blobContainerUrl = \"{SAS_URL_of_training_data}\";\nString prefix = \"training-docs\u002F\";\n\nSyncPoller\u003COperationResult, DocumentModelDetails> poller = adminClient.beginBuildDocumentModel(\n    blobContainerUrl,\n    DocumentModelBuildMode.TEMPLATE,\n    prefix,\n    new BuildDocumentModelOptions()\n        .setModelId(\"my-custom-model\")\n        .setDescription(\"Custom invoice model\"),\n    Context.NONE);\n\nDocumentModelDetails model = poller.getFinalResult();\n\nSystem.out.println(\"Model ID: \" + model.getModelId());\nSystem.out.println(\"Created: \" + model.getCreatedOn());\n\nmodel.getDocumentTypes().forEach((docType, details) -> {\n    System.out.println(\"Document type: \" + docType);\n    details.getFieldSchema().forEach((field, schema) -> {\n        System.out.printf(\"  Field: %s (%s)%n\", field, schema.getType());\n    });\n});\n```\n\n### Analyze with Custom Model\n\n```java\nSyncPoller\u003COperationResult, AnalyzeResult> poller = \n    client.beginAnalyzeDocumentFromUrl(\"my-custom-model\", documentUrl);\n\nAnalyzeResult result = poller.getFinalResult();\n\nfor (AnalyzedDocument doc : result.getDocuments()) {\n    System.out.printf(\"Document type: %s (confidence: %.2f)%n\",\n        doc.getDocType(),\n        doc.getConfidence());\n    \n    doc.getFields().forEach((name, field) -> {\n        System.out.printf(\"Field '%s': %s (confidence: %.2f)%n\",\n            name,\n            field.getContent(),\n            field.getConfidence());\n    });\n}\n```\n\n### Compose Models\n\n```java\nList\u003CString> modelIds = Arrays.asList(\"model-1\", \"model-2\", \"model-3\");\n\nSyncPoller\u003COperationResult, DocumentModelDetails> poller = \n    adminClient.beginComposeDocumentModel(\n        modelIds,\n        new ComposeDocumentModelOptions()\n            .setModelId(\"composed-model\")\n            .setDescription(\"Composed from multiple models\"));\n\nDocumentModelDetails composedModel = poller.getFinalResult();\n```\n\n### Manage Models\n\n```java\n\u002F\u002F List models\nPagedIterable\u003CDocumentModelSummary> models = adminClient.listDocumentModels();\nfor (DocumentModelSummary summary : models) {\n    System.out.printf(\"Model: %s, Created: %s%n\",\n        summary.getModelId(),\n        summary.getCreatedOn());\n}\n\n\u002F\u002F Get model details\nDocumentModelDetails model = adminClient.getDocumentModel(\"model-id\");\n\n\u002F\u002F Delete model\nadminClient.deleteDocumentModel(\"model-id\");\n\n\u002F\u002F Check resource limits\nResourceDetails resources = adminClient.getResourceDetails();\nSystem.out.printf(\"Models: %d \u002F %d%n\",\n    resources.getCustomDocumentModelCount(),\n    resources.getCustomDocumentModelLimit());\n```\n\n## Document Classification\n\n### Build Classifier\n\n```java\nMap\u003CString, ClassifierDocumentTypeDetails> docTypes = new HashMap\u003C>();\ndocTypes.put(\"invoice\", new ClassifierDocumentTypeDetails()\n    .setAzureBlobSource(new AzureBlobContentSource(containerUrl).setPrefix(\"invoices\u002F\")));\ndocTypes.put(\"receipt\", new ClassifierDocumentTypeDetails()\n    .setAzureBlobSource(new AzureBlobContentSource(containerUrl).setPrefix(\"receipts\u002F\")));\n\nSyncPoller\u003COperationResult, DocumentClassifierDetails> poller = \n    adminClient.beginBuildDocumentClassifier(docTypes,\n        new BuildDocumentClassifierOptions().setClassifierId(\"my-classifier\"));\n\nDocumentClassifierDetails classifier = poller.getFinalResult();\n```\n\n### Classify Document\n\n```java\nSyncPoller\u003COperationResult, AnalyzeResult> poller = \n    client.beginClassifyDocumentFromUrl(\"my-classifier\", documentUrl, Context.NONE);\n\nAnalyzeResult result = poller.getFinalResult();\n\nfor (AnalyzedDocument doc : result.getDocuments()) {\n    System.out.printf(\"Classified as: %s (confidence: %.2f)%n\",\n        doc.getDocType(),\n        doc.getConfidence());\n}\n```\n\n## Error Handling\n\n```java\nimport com.azure.core.exception.HttpResponseException;\n\ntry {\n    client.beginAnalyzeDocumentFromUrl(\"prebuilt-receipt\", \"invalid-url\");\n} catch (HttpResponseException e) {\n    System.out.println(\"Status: \" + e.getResponse().getStatusCode());\n    System.out.println(\"Error: \" + e.getMessage());\n}\n```\n\n## Environment Variables\n\n```bash\nFORM_RECOGNIZER_ENDPOINT=https:\u002F\u002F\u003Cresource>.cognitiveservices.azure.com\u002F\nFORM_RECOGNIZER_KEY=\u003Cyour-api-key>\n```\n\n## Trigger Phrases\n\n- \"document intelligence Java\"\n- \"form recognizer SDK\"\n- \"extract text from PDF\"\n- \"OCR document Java\"\n- \"analyze invoice receipt\"\n- \"custom document model\"\n- \"document classification\"\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n",{"name":5,"risk":31,"source":28,"date_added":38,"description":7},"2026-02-27","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fcopilot\u002Fazure-ai-formrecognizer-java","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill azure-ai-formrecognizer-java",{"tool":51,"command":52},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill azure-ai-formrecognizer-java",{"tool":54,"command":55},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill azure-ai-formrecognizer-java","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcopilot\u002Fazure-ai-formrecognizer-java\u002FSKILL.md",true,[],[60,84,110,120,133,152],{"skillNo":61,"name":62,"nameZh":6,"description":63,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":64,"categories":65,"keywords":71,"publishedAt":33},"01M71ATQRKG48SH06FQ697T5G9","wechat-search","Search WeChat Official Account articles using OpenClaw's web search and fetch capabilities with compliance-focused design.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fwechat-search-release\u002FSKILL.md",[66],{"categoryNo":67,"categoryName":68,"taxonomyType":69,"taxonomyTypeDesc":70},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[72,73,74,75,76,77,78,79,80,81,82,83],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch","with",{"skillNo":85,"name":86,"nameZh":6,"description":87,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":88,"categories":89,"keywords":90,"publishedAt":33},"01M71ATNAVGZB35PFYM2GC5N00","trend-tap","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend tap', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-tap\u002FSKILL.md",[],[91,92,93,94,95,96,74,97,98,99,100,101,102,103,104,105,106,107,108,109],"trend","trend tap","tap","api keys","Bash","time","trending","hacker","aggregator","do","when","brew","live","data","google","install","read","across","api",{"skillNo":111,"name":112,"nameZh":6,"description":113,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":114,"categories":115,"keywords":116,"publishedAt":33},"01M71ATJ9AM5KM15AA8PS302EB","trend-radar","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend pulse', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-radar\u002FSKILL.md",[],[117,118,91,102,103,104,105,95,74,107,119,108,109,101,99,98,97,106,96,94],"trend radar","radar","pulse",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":126,"publishedAt":33},"01M71ATGF095N3EJM9G8SD0BB5","tech-news-daily","每日科技新闻汇——从全球多个 RSS 源抓取最新科技新闻，翻译（英→中）、去重、排版成每日简报。当用户询问科技新闻、科技新鲜事、每日科技、技术动态、Daily Tech News 或类似表达时触发此技能。","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftech-news-daily\u002FSKILL.md",[],[127,128,129,130,131,132],"news","tech","tech news daily","daily","rss","翻译",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":144,"publishedAt":33},"01M71ATFAEAMQ17M70NQNY7SR8","summarize","Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsummarize\u002FSKILL.md",[139],{"categoryNo":140,"categoryName":141,"taxonomyType":142,"taxonomyTypeDesc":143},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[135,80,145,146,147,83,102,148,149,150,93,151,106],"Audio","cli","youtube","images","https","files","pdfs",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":158,"publishedAt":33},"01M71ATDNS3R0M4H936PACQAWZ","sonoscli","Control Sonos speakers (discover\u002Fstatus\u002Fplay\u002Fvolume\u002Fgroup).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsonoscli\u002FSKILL.md",[],[154,159,160,161,106,162,149,163,164,165,166,167],"status","play","go","latest","github","discover","control","cmd","volume"]