azure-ai-translation-text
Microsoft Corporation Azure Ai Translation Text Client Library for Python
Decision gist · record as of 2026-08-14
Yes. The package is production-stable, actively maintained, has no known vulnerabilities, and low install friction. Install it if you need to call Azure's Translator service from Python. You must have an Azure Translator resource and API key; the library itself is a straightforward wrapper around that service.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an Azure Translator service resource and valid API key; Python 3.9 or later.
- Low install friction with a pure-Python wheel and three lightweight runtime dependencies.
- The package is actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
(unclear)
last release 2026-05-29 (77 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 335,743 downloads/mo, #7,473 on PyPI
Alternatives
Verify before relying
pip install azure-ai-translation-text
from azure.ai.translation.text import TextTranslationClient
from azure.core.credentials import AzureKeyCredential
credential = AzureKeyCredential(api_key)
client = TextTranslationClient(credential=credential, region=region)
response = client.translate(body=["Hello world"], to_language=["es"])- Whether LLM-based tone-specific and gender-aware translation variants are available in all regions or require specific model selection.
- Rate limits and request size constraints for production workloads beyond the service documentation reference.
What it is and what it does
This package is a Python client library for Microsoft Azure's Translator service, a cloud-based neural machine translation API. It wraps the REST endpoints to provide synchronous and asynchronous methods for translating text, detecting source languages, and transliterating text between scripts. The library depends on azure-core for credential handling and HTTP communication, isodate for date parsing, and typing-extensions for type hints.
Developers use it to integrate real-time translation into applications without building HTTP clients manually. The main entry point is TextTranslationClient, which requires an API key or token credential and an Azure region. The library supports querying supported languages and models, translating single or batch text items with configurable parameters, and converting text between writing systems—useful for applications serving multilingual users or handling non-Latin scripts.
Use it for
- Integrate real-time text translation into a web or mobile application to serve users in multiple languages.
- Detect the source language of user input and automatically translate it to a target language in a chatbot or support system.
- Convert text from one script to another (e.g., Chinese Hanzi to Latin characters) for display or processing.
- Build a multilingual content pipeline that translates user-generated text or documents on demand.
- Query available translation languages and models to dynamically populate UI dropdowns or validate user requests.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is production-stable, actively maintained, has no known vulnerabilities, and low install friction. Install it if you need to call Azure's Translator service from Python. You must have an Azure Translator resource and API key; the library itself is a straightforward wrapper around that service.
Install
azure-ai-translation-text on PyPI
Before you install
Low install friction with a pure-Python wheel and three lightweight runtime dependencies. The package is actively maintained with a recent release and no known vulnerabilities.
Requires an Azure Translator service resource and valid API key; Python 3.9 or later.
Quickstart
pip install azure-ai-translation-text
from azure.ai.translation.text import TextTranslationClient
from azure.core.credentials import AzureKeyCredential
credential = AzureKeyCredential(api_key)
client = TextTranslationClient(credential=credential, region=region)
response = client.translate(body=["Hello world"], to_language=["es"])Verify before relying
- Whether LLM-based tone-specific and gender-aware translation variants are available in all regions or require specific model selection.
- Rate limits and request size constraints for production workloads beyond the service documentation reference.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesisodateazure-coretyping-extensions |
| Maintenance | Actively maintained 77 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 335,743 / month, #7,473 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/StableProgramming 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_text-2.0.0-py3-none-any.whl
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See also azure-ai-translation-document · sarvamai · azure-ai-textanalytics · deep-translator · google-cloud-translate · libretranslatepy · argostranslate · azure-ai-documentintelligence · deepl · googletrans