Azure Translator, now branded Azure Translator in Foundry Tools, is Microsoft's translation service for text and documents. A single API detects the source language and translates instantly or in batches across more than 100 languages. It can use neural machine translation or foundation models to adjust tone, gender and style, and custom models reflect domain-specific terminology learned from previously translated documents, with no machine learning expertise required. Billing is pay-as-you-go by the volume of characters translated, with a reduced per-character price when you commit to a minimum volume and no upfront costs.
Developers building multilingual applications are the main audience, along with enterprises localizing content and teams that run call centers or in-app communication. Because the engine also powers translation in Word, Outlook, PowerPoint, Teams, the Edge browser and Visual Studio, organizations already on Microsoft products will find it familiar. Text input is not logged during translation, which matters for privacy-conscious industries.
Typical scenarios include translating support conversations in a call center, powering multilingual conversational agents, localizing product documentation and enterprise documents, and adding in-app translation so users can read content in their own language. Teams combine it with Azure Speech to translate spoken audio, with Azure Language for text analysis and with Azure Document Intelligence to extract information from files before translating them. Glossary and custom model features keep brand and technical terms consistent across large content libraries. Large content libraries benefit from consistent glossaries, and the shared engine means translated output behaves the same way across apps. Developers can start from the documentation, code samples and the option to translate spoken audio alongside text.
