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Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale.","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-translation-document-py\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000004","电子表格",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],"azure ai","azure","azure ai translation document py","ai translation","document","translation","use","2026","unknown","for","at","with","preservation","community","PDF","Word","format","batch","documents","sdk","xlsx","2026-11-10 10:12:30",false,"---\nname: azure-ai-translation-document-py\ndescription: Azure AI Document Translation SDK for batch translation of documents with format preservation. Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale.\nrisk: unknown\nsource: community\ndate_added: '2026-02-27'\n---\n\n# Azure AI Document Translation SDK for Python\n\nClient library for Azure AI Translator document translation service for batch document translation with format preservation.\n\n## Installation\n\n```bash\npip install azure-ai-translation-document\n```\n\n## Environment Variables\n\n```bash\nAZURE_DOCUMENT_TRANSLATION_ENDPOINT=https:\u002F\u002F\u003Cresource>.cognitiveservices.azure.com\nAZURE_DOCUMENT_TRANSLATION_KEY=\u003Cyour-api-key>  # If using API key\n\n# Storage for source and target documents\nAZURE_SOURCE_CONTAINER_URL=https:\u002F\u002F\u003Cstorage>.blob.core.windows.net\u002F\u003Ccontainer>?\u003Csas>\nAZURE_TARGET_CONTAINER_URL=https:\u002F\u002F\u003Cstorage>.blob.core.windows.net\u002F\u003Ccontainer>?\u003Csas>\n```\n\n## Authentication\n\n### API Key\n\n```python\nimport os\nfrom azure.ai.translation.document import DocumentTranslationClient\nfrom azure.core.credentials import AzureKeyCredential\n\nendpoint = os.environ[\"AZURE_DOCUMENT_TRANSLATION_ENDPOINT\"]\nkey = os.environ[\"AZURE_DOCUMENT_TRANSLATION_KEY\"]\n\nclient = DocumentTranslationClient(endpoint, AzureKeyCredential(key))\n```\n\n### Entra ID (Recommended)\n\n```python\nfrom azure.ai.translation.document import DocumentTranslationClient\nfrom azure.identity import DefaultAzureCredential\n\nclient = DocumentTranslationClient(\n    endpoint=os.environ[\"AZURE_DOCUMENT_TRANSLATION_ENDPOINT\"],\n    credential=DefaultAzureCredential()\n)\n```\n\n## Basic Document Translation\n\n```python\nfrom azure.ai.translation.document import DocumentTranslationInput, TranslationTarget\n\nsource_url = os.environ[\"AZURE_SOURCE_CONTAINER_URL\"]\ntarget_url = os.environ[\"AZURE_TARGET_CONTAINER_URL\"]\n\n# Start translation job\npoller = client.begin_translation(\n    inputs=[\n        DocumentTranslationInput(\n            source_url=source_url,\n            targets=[\n                TranslationTarget(\n                    target_url=target_url,\n                    language=\"es\"  # Translate to Spanish\n                )\n            ]\n        )\n    ]\n)\n\n# Wait for completion\nresult = poller.result()\n\nprint(f\"Status: {poller.status()}\")\nprint(f\"Documents translated: {poller.details.documents_succeeded_count}\")\nprint(f\"Documents failed: {poller.details.documents_failed_count}\")\n```\n\n## Multiple Target Languages\n\n```python\npoller = client.begin_translation(\n    inputs=[\n        DocumentTranslationInput(\n            source_url=source_url,\n            targets=[\n                TranslationTarget(target_url=target_url_es, language=\"es\"),\n                TranslationTarget(target_url=target_url_fr, language=\"fr\"),\n                TranslationTarget(target_url=target_url_de, language=\"de\")\n            ]\n        )\n    ]\n)\n```\n\n## Translate Single Document\n\n```python\nfrom azure.ai.translation.document import SingleDocumentTranslationClient\n\nsingle_client = SingleDocumentTranslationClient(endpoint, AzureKeyCredential(key))\n\nwith open(\"document.docx\", \"rb\") as f:\n    document_content = f.read()\n\nresult = single_client.translate(\n    body=document_content,\n    target_language=\"es\",\n    content_type=\"application\u002Fvnd.openxmlformats-officedocument.wordprocessingml.document\"\n)\n\n# Save translated document\nwith open(\"document_es.docx\", \"wb\") as f:\n    f.write(result)\n```\n\n## Check Translation Status\n\n```python\n# Get all translation operations\noperations = client.list_translation_statuses()\n\nfor op in operations:\n    print(f\"Operation ID: {op.id}\")\n    print(f\"Status: {op.status}\")\n    print(f\"Created: {op.created_on}\")\n    print(f\"Total documents: {op.documents_total_count}\")\n    print(f\"Succeeded: {op.documents_succeeded_count}\")\n    print(f\"Failed: {op.documents_failed_count}\")\n```\n\n## List Document Statuses\n\n```python\n# Get status of individual documents in a job\noperation_id = poller.id\ndocument_statuses = client.list_document_statuses(operation_id)\n\nfor doc in document_statuses:\n    print(f\"Document: {doc.source_document_url}\")\n    print(f\"  Status: {doc.status}\")\n    print(f\"  Translated to: {doc.translated_to}\")\n    if doc.error:\n        print(f\"  Error: {doc.error.message}\")\n```\n\n## Cancel Translation\n\n```python\n# Cancel a running translation\nclient.cancel_translation(operation_id)\n```\n\n## Using Glossary\n\n```python\nfrom azure.ai.translation.document import TranslationGlossary\n\npoller = client.begin_translation(\n    inputs=[\n        DocumentTranslationInput(\n            source_url=source_url,\n            targets=[\n                TranslationTarget(\n                    target_url=target_url,\n                    language=\"es\",\n                    glossaries=[\n                        TranslationGlossary(\n                            glossary_url=\"https:\u002F\u002F\u003Cstorage>.blob.core.windows.net\u002Fglossary\u002Fterms.csv?\u003Csas>\",\n                            file_format=\"csv\"\n                        )\n                    ]\n                )\n            ]\n        )\n    ]\n)\n```\n\n## Supported Document Formats\n\n```python\n# Get supported formats\nformats = client.get_supported_document_formats()\n\nfor fmt in formats:\n    print(f\"Format: {fmt.format}\")\n    print(f\"  Extensions: {fmt.file_extensions}\")\n    print(f\"  Content types: {fmt.content_types}\")\n```\n\n## Supported Languages\n\n```python\n# Get supported languages\nlanguages = client.get_supported_languages()\n\nfor lang in languages:\n    print(f\"Language: {lang.name} ({lang.code})\")\n```\n\n## Async Client\n\n```python\nfrom azure.ai.translation.document.aio import DocumentTranslationClient\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def translate_documents():\n    async with DocumentTranslationClient(\n        endpoint=endpoint,\n        credential=DefaultAzureCredential()\n    ) as client:\n        poller = await client.begin_translation(inputs=[...])\n        result = await poller.result()\n```\n\n## Supported Formats\n\n| Category | Formats |\n|----------|---------|\n| Documents | DOCX, PDF, PPTX, XLSX, HTML, TXT, RTF |\n| Structured | CSV, TSV, JSON, XML |\n| Localization | XLIFF, XLF, MHTML |\n\n## Storage Requirements\n\n- Source and target containers must be Azure Blob Storage\n- Use SAS tokens with appropriate permissions:\n  - Source: Read, List\n  - Target: Write, List\n\n## Best Practices\n\n1. **Use SAS tokens** with minimal required permissions\n2. **Monitor long-running operations** with `poller.status()`\n3. **Handle document-level errors** by iterating document statuses\n4. **Use glossaries** for domain-specific terminology\n5. **Separate target containers** for each language\n6. **Use async client** for multiple concurrent jobs\n7. **Check supported formats** before submitting documents\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n","# Azure AI Document Translation SDK for Python\n\nClient library for Azure AI Translator document translation service for batch document translation with format preservation.\n\n## Installation\n\n```bash\npip install azure-ai-translation-document\n```\n\n## Environment Variables\n\n```bash\nAZURE_DOCUMENT_TRANSLATION_ENDPOINT=https:\u002F\u002F\u003Cresource>.cognitiveservices.azure.com\nAZURE_DOCUMENT_TRANSLATION_KEY=\u003Cyour-api-key>  # If using API key\n\n# Storage for source and target documents\nAZURE_SOURCE_CONTAINER_URL=https:\u002F\u002F\u003Cstorage>.blob.core.windows.net\u002F\u003Ccontainer>?\u003Csas>\nAZURE_TARGET_CONTAINER_URL=https:\u002F\u002F\u003Cstorage>.blob.core.windows.net\u002F\u003Ccontainer>?\u003Csas>\n```\n\n## Authentication\n\n### API Key\n\n```python\nimport os\nfrom azure.ai.translation.document import DocumentTranslationClient\nfrom azure.core.credentials import AzureKeyCredential\n\nendpoint = os.environ[\"AZURE_DOCUMENT_TRANSLATION_ENDPOINT\"]\nkey = os.environ[\"AZURE_DOCUMENT_TRANSLATION_KEY\"]\n\nclient = DocumentTranslationClient(endpoint, AzureKeyCredential(key))\n```\n\n### Entra ID (Recommended)\n\n```python\nfrom azure.ai.translation.document import DocumentTranslationClient\nfrom azure.identity import DefaultAzureCredential\n\nclient = DocumentTranslationClient(\n    endpoint=os.environ[\"AZURE_DOCUMENT_TRANSLATION_ENDPOINT\"],\n    credential=DefaultAzureCredential()\n)\n```\n\n## Basic Document Translation\n\n```python\nfrom azure.ai.translation.document import DocumentTranslationInput, TranslationTarget\n\nsource_url = os.environ[\"AZURE_SOURCE_CONTAINER_URL\"]\ntarget_url = os.environ[\"AZURE_TARGET_CONTAINER_URL\"]\n\n# Start translation job\npoller = client.begin_translation(\n    inputs=[\n        DocumentTranslationInput(\n            source_url=source_url,\n            targets=[\n                TranslationTarget(\n                    target_url=target_url,\n                    language=\"es\"  # Translate to Spanish\n                )\n            ]\n        )\n    ]\n)\n\n# Wait for completion\nresult = poller.result()\n\nprint(f\"Status: {poller.status()}\")\nprint(f\"Documents translated: {poller.details.documents_succeeded_count}\")\nprint(f\"Documents failed: {poller.details.documents_failed_count}\")\n```\n\n## Multiple Target Languages\n\n```python\npoller = client.begin_translation(\n    inputs=[\n        DocumentTranslationInput(\n            source_url=source_url,\n            targets=[\n                TranslationTarget(target_url=target_url_es, language=\"es\"),\n                TranslationTarget(target_url=target_url_fr, language=\"fr\"),\n                TranslationTarget(target_url=target_url_de, language=\"de\")\n            ]\n        )\n    ]\n)\n```\n\n## Translate Single Document\n\n```python\nfrom azure.ai.translation.document import SingleDocumentTranslationClient\n\nsingle_client = SingleDocumentTranslationClient(endpoint, AzureKeyCredential(key))\n\nwith open(\"document.docx\", \"rb\") as f:\n    document_content = f.read()\n\nresult = single_client.translate(\n    body=document_content,\n    target_language=\"es\",\n    content_type=\"application\u002Fvnd.openxmlformats-officedocument.wordprocessingml.document\"\n)\n\n# Save translated document\nwith open(\"document_es.docx\", \"wb\") as f:\n    f.write(result)\n```\n\n## Check Translation Status\n\n```python\n# Get all translation operations\noperations = client.list_translation_statuses()\n\nfor op in operations:\n    print(f\"Operation ID: {op.id}\")\n    print(f\"Status: {op.status}\")\n    print(f\"Created: {op.created_on}\")\n    print(f\"Total documents: {op.documents_total_count}\")\n    print(f\"Succeeded: {op.documents_succeeded_count}\")\n    print(f\"Failed: {op.documents_failed_count}\")\n```\n\n## List Document Statuses\n\n```python\n# Get status of individual documents in a job\noperation_id = poller.id\ndocument_statuses = client.list_document_statuses(operation_id)\n\nfor doc in document_statuses:\n    print(f\"Document: {doc.source_document_url}\")\n    print(f\"  Status: {doc.status}\")\n    print(f\"  Translated to: {doc.translated_to}\")\n    if doc.error:\n        print(f\"  Error: {doc.error.message}\")\n```\n\n## Cancel Translation\n\n```python\n# Cancel a running translation\nclient.cancel_translation(operation_id)\n```\n\n## Using Glossary\n\n```python\nfrom azure.ai.translation.document import TranslationGlossary\n\npoller = client.begin_translation(\n    inputs=[\n        DocumentTranslationInput(\n            source_url=source_url,\n            targets=[\n                TranslationTarget(\n                    target_url=target_url,\n                    language=\"es\",\n                    glossaries=[\n                        TranslationGlossary(\n                            glossary_url=\"https:\u002F\u002F\u003Cstorage>.blob.core.windows.net\u002Fglossary\u002Fterms.csv?\u003Csas>\",\n                            file_format=\"csv\"\n                        )\n                    ]\n                )\n            ]\n        )\n    ]\n)\n```\n\n## Supported Document Formats\n\n```python\n# Get supported formats\nformats = client.get_supported_document_formats()\n\nfor fmt in formats:\n    print(f\"Format: {fmt.format}\")\n    print(f\"  Extensions: {fmt.file_extensions}\")\n    print(f\"  Content types: {fmt.content_types}\")\n```\n\n## Supported Languages\n\n```python\n# Get supported languages\nlanguages = client.get_supported_languages()\n\nfor lang in languages:\n    print(f\"Language: {lang.name} ({lang.code})\")\n```\n\n## Async Client\n\n```python\nfrom azure.ai.translation.document.aio import DocumentTranslationClient\nfrom azure.identity.aio import DefaultAzureCredential\n\nasync def translate_documents():\n    async with DocumentTranslationClient(\n        endpoint=endpoint,\n        credential=DefaultAzureCredential()\n    ) as client:\n        poller = await client.begin_translation(inputs=[...])\n        result = await poller.result()\n```\n\n## Supported Formats\n\n| Category | Formats |\n|----------|---------|\n| Documents | DOCX, PDF, PPTX, XLSX, HTML, TXT, RTF |\n| Structured | CSV, TSV, JSON, XML |\n| Localization | XLIFF, XLF, MHTML |\n\n## Storage Requirements\n\n- Source and target containers must be Azure Blob Storage\n- Use SAS tokens with appropriate permissions:\n  - Source: Read, List\n  - Target: Write, List\n\n## Best Practices\n\n1. **Use SAS tokens** with minimal required permissions\n2. **Monitor long-running operations** with `poller.status()`\n3. **Handle document-level errors** by iterating document statuses\n4. **Use glossaries** for domain-specific terminology\n5. **Separate target containers** for each language\n6. **Use async client** for multiple concurrent jobs\n7. **Check supported formats** before submitting documents\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n",{"name":5,"risk":35,"source":40,"date_added":53,"description":7},"2026-02-27","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fcopilot\u002Fazure-ai-translation-document-py","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":61,"prompt":71,"zipAvailable":72},[62,65,68],{"tool":63,"command":64},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill azure-ai-translation-document-py",{"tool":66,"command":67},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill azure-ai-translation-document-py",{"tool":69,"command":70},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill 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