azure-ai-translation-document
Microsoft Azure Ai Translation Document Client Library for Python
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and integrates cleanly with Azure's ecosystem. It is suitable for any Python project that needs to translate documents at scale while preserving formatting. No known vulnerabilities. Requires an Azure subscription and Translator resource to be useful.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- Requires an active Azure subscription and Translator resource with endpoint and API key or Azure Active Directory credentials.
- Low install friction with a pure Python wheel.
License · maintenance · safety
MIT License (permissive) — MIT License permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-07-29 (16 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 377,315 downloads/mo, #7,125 on PyPI
Alternatives
Verify before relying
pip install azure-ai-translation-document
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document import DocumentTranslationClient
client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
poller = client.begin_translation(source_url, target_url, target_language)- Whether custom translation models and glossaries are fully integrated or require separate setup steps beyond this client library.
- Performance characteristics and throughput limits for large-scale batch document translation operations.
- Whether the service version 2026-03-01 mentioned in the description is current or if newer versions are available.
What it is and what it does
This package is a Python client for Azure's Document Translation service, a cloud-based API that translates multiple documents stored in Azure Blob Storage containers while maintaining their original structure and formatting. It handles the orchestration of translation jobs across languages and dialects, allowing you to specify source and target storage containers and monitor translation progress document-by-document.
The client abstracts away the complexity of calling Azure's translation REST API directly. It depends on azure-core for credential handling and HTTP communication, isodate for date parsing, and typing-extensions for type hints. You authenticate with either an API key or Azure Active Directory, then call begin_translation() to start a batch job, optionally applying custom translation models or glossaries to tailor results to your domain.
Use it for
- Translate a batch of PDFs or Word documents from one language to another while keeping formatting intact for downstream processing.
- Build a multilingual content pipeline that automatically translates documents uploaded to a source blob container and writes results to a target container.
- Monitor the progress of individual documents within a large translation operation to track completion and identify failures.
- Apply domain-specific glossaries or custom translation models to ensure terminology consistency in technical or specialized documents.
- Enumerate past and current translation operations to audit translation history and retrieve previously translated documents.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries a permissive MIT license, and integrates cleanly with Azure's ecosystem. It is suitable for any Python project that needs to translate documents at scale while preserving formatting. No known vulnerabilities. Requires an Azure subscription and Translator resource to be useful.
Install
azure-ai-translation-document on PyPI
Before you install
Low install friction with a pure Python wheel. Actively maintained with a release 16 days old; repository shows consistent activity and no archived status.
Requires Python 3.9 or later. Requires an active Azure subscription and Translator resource with endpoint and API key or Azure Active Directory credentials.
License in practice
MIT License permits commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install azure-ai-translation-document
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document import DocumentTranslationClient
client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
poller = client.begin_translation(source_url, target_url, target_language)Verify before relying
- Whether custom translation models and glossaries are fully integrated or require separate setup steps beyond this client library.
- Performance characteristics and throughput limits for large-scale batch document translation operations.
- Whether the service version 2026-03-01 mentioned in the description is current or if newer versions are available.
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesisodateazure-coretyping-extensions |
| Maintenance | Actively maintained 16 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 377,315 / month, #7,125 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9 |
Evidence: azure_ai_translation_document-2.0.0-py3-none-any.whl
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See also azure-ai-documentintelligence · azure-ai-translation-text · BabelDOC · azure-ai-formrecognizer · azure-ai-textanalytics · azure-ai-language-questionanswering · azure-search-documents · azure-ai-language-conversations · azure-storage-blob · deep-translator