Microsoft Document Translator
Microsoft Document Translator: A capable Azure-based document translator for automated, multi-file workflows. Ranked #79 of 156 in Translation Software by our editors (3.0/10); pricing: Paid; best for batch Office-document translation in Azure environments.
At a glance
- Editor score3.0 / 10
- PricingPaid
- Best forBatch Office-document translation in Azure environments
- Free planNo
- API accessYes
- Founded1975 · Redmond, Washington, USA
- Facts checked22 Sep 2026
Where it wins
- Translates up to 1,000 files in one operation
- Supports Office, PDF, HTML, Markdown, CSV and more
- Offers CLI automation, custom glossaries and Custom Translator
Where it doesn't
- Requires an Azure subscription, Translator resource and Blob Storage
- Document translation requires a paid S1-or-higher Translator tier
- No website translation or verified translation memory
Our verdict on Microsoft Document Translator
Microsoft Document Translator is an open-source Windows application and command-line tool for translating local files through Azure Translator. It is designed for small, mid-market and enterprise teams handling Office documents and other supported formats, especially when batch processing, multiple target languages or workflow automation matter. The Windows interface supports graphical file translation, while the command-line utility runs on Windows, macOS and Linux.
The local application is free and MIT-licensed, but the translation workflow depends on Azure services. Azure F0 includes 2 million characters of standard translation and custom translation training free per month. Azure S1 bills document translation per million characters and image document translation per thousand images. Document translation requires a paid S1-or-higher Translator tier, along with an Azure subscription, Translator resource and Azure Blob Storage. Azure Translator, Blob Storage, Key Vault and Custom Translator provide the surrounding service fit, while Key Vault credential management and sovereign-cloud support address Azure-focused operational requirements.
Its strongest feature set is document-oriented batch processing: supported inputs include Office, HTML, PDF, Markdown, MHTML, Outlook MSG, XLIFF, CSV, TSV and plain text, with up to 1,000 files handled in one operation. Custom glossaries and Custom Translator categories add terminology and model customization options. The trade-off is a focused Azure workflow rather than a broader website localization product. Teams needing website translation or translation memory should consider another tool, while organizations already working in Azure and needing local-file automation are the clearest fit.
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Microsoft Document Translator pricing
All 2 Microsoft Document Translator plans and prices →
Microsoft Document Translator fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Document translation | Yes |
| Website translation | No |
| Translation memory | No |
| Glossary tools | Yes |
| API access | Yes |
| Supported languages | Not verified |
| Deployment | Cloud, Desktop |
| Platforms | Windows, macOS, Linux |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 4 integrations: Azure Translator, Azure Blob Storage, Azure Key Vault, Azure Custom Translator |
| Pricing | Paid (source) |
| Website | github.com |
| Facts checked | 22 Sep 2026 |
Microsoft Document Translator integrations
Microsoft Document Translator lists 4 integrations on its own site.
- Azure Translator
- Azure Blob Storage
- Azure Key Vault
- Azure Custom Translator
Alternatives to Microsoft Document Translator
- Google Cloud TranslationA broad Google Cloud translation stack for developers building multilingual systems.9.4
- DeepL TranslatorA broad translation service spanning everyday use, workplace tools, and developer workflows.9.3
- Google TranslateA free, multi-device translator covering everyday text, media, documents, and websites.9.2
See all Microsoft Document Translator alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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