Side-by-side

Smartling vs Microsoft Translator

SmartlingMicrosoft Translator

Bottom line: Smartling for large enterprises with substantial ongoing localization; Microsoft Translator for organizations already standardized on Microsoft and Azure.

	Smartling Enterprise translation management system and language services Visit	Microsoft Translator Microsoft Translator is a neural machine translation service that supports text, speech, and image translation across multiple languages Visit
Votes	0	0
Pricing	Paid	Freemium
Category	Translation	Translation
Tags	translation-managemententerprise-localizationai-translationlanguage-servicesworkflow-automation	translate-languages
Best for	Large enterprises with substantial ongoing localization Brands wanting one vendor for tech plus translation services Regulated industries needing quality and workflow control	Organizations already standardized on Microsoft and Azure Developers needing a scalable translation API with custom models Teams needing live meeting translation and captions in Microsoft Teams
Pros	Recognized as a leading enterprise TMS by analysts and reviewers Bundles technology with professional human translation services Strong workflow automation and translation memory Broad CMS and marketing platform integrations AI-driven machine translation with human review options	Broad coverage of 100+ languages across text, speech, image, and document translation in a single service. Deep integration across Microsoft products — Office, Teams live captions, Edge, and Windows — so translation is available where users already work. Azure AI Translator offers a scalable pay-as-you-go API with Custom Translator for domain-specific models and enterprise-grade data controls. A free consumer app with offline language packs makes it practical for travel and everyday use. Backing by Microsoft and Azure provides reliability, compliance, and global infrastructure.
Cons	No public pricing; fully quote-based and sales-driven No free tier or self-serve entry point Combines platform fees with per-word costs, complicating budgeting Enterprise-scale cost is prohibitive for small teams Implementation and onboarding require meaningful effort	Translation quality for some language pairs can trail specialist services like DeepL, particularly for nuanced or literary text. The Azure API's character-based pricing and setup can be complex for non-technical buyers to estimate. It is most valuable inside the Microsoft/Azure ecosystem; teams on other stacks may see less benefit. As an AI service, output should be reviewed for high-stakes or legal translation rather than trusted outright.

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