Content Translator
Overview
The plugin is an AI-powered localization solution for Umbraco that helps teams translate and manage multilingual content directly within the CMS. It automates translation workflows, reducing the time and effort required to create and maintain multilingual websites.
In addition to translation, the plugin provides visibility into content localization status, helping teams track translated, outdated, and reviewed content. Its flexible architecture supports multiple AI providers and models, making it adaptable to different project needs.
Goal: The goal of the Translator plugin is to simplify and automate multilingual content management in Umbraco by integrating AI-powered translation and providing clear visibility into content localization status, enabling faster, more efficient, and scalable website localization workflows.
Key project info
Industries
Enterprise websites, E-commerce platforms, Media and publishing companies, SaaS products, Content-heavy digital platforms, Global digital businesses
Services
AI content translation, Localization management, Translation workflow automation, Custom AI provider integration, CMS Integration services, Content processing optimization
Solutions
Multilingual website management, AI-powered translation automation, Translation status tracking dashboard, Content review and approval workflows, Localization rules engine
Technologies
C#, Lit, Umbraco CMS, OpenAI API, Anthropic Claude API, Provider-based architecture, AI Content processing pipeline, Modular plugin system
The challenges
AI Provider Integration
Different AI services have unique APIs and configs. We needed a unified, extensible architecture for adding new providers without core changes.
Clean Content Processing
AI must not receive raw Umbraco data (HTML/JSON). Content is split into clean text fragments before translation for better accuracy and consistency.
Translation Rules Flexibility
Not all content should be translated. Implemented flexible blacklist rules to exclude specific properties and content types from translation process.
Extensible Architecture
System must support future AI providers without refactoring. Designed a provider-based architecture with clear abstraction layers.
Solutions
The Translator Plugin is built around a set of core capabilities that make AI-powered localization seamless, controllable, and scalable within Umbraco. These features are designed to reduce manual effort, improve translation quality, and give teams full visibility and control over multilingual content workflows.
The key features of solution
AI-Powered Translation - Automatic translation of Umbraco content using AI models, significantly reducing manual localization effort.
Translation Status Dashboard - Provides full visibility of what content is translated, outdated, or missing, helping teams control localization progress.
Custom AI Provider Integration - Allows integration of different AI services with custom configurations inside the plugin.
Flexible Model Selection - Switch between different AI models depending on quality, speed, or cost requirements.
Content Exclusive Rules - Lets users define what content should not be translated via blacklist rules and property controls.
Localize your Umbraco site with AI
Another OSKI plugin for Umbraco — it brings AI-powered translation and localization tracking right into your backoffice.
Results in numbers
75%
Reduction in the time required to translate, adapt, and publish multilingual content through AI-powered automation, significantly speeding up the overall localization workflow for content teams.
60%
Significant decrease in manual effort required from content editors by automating translation tasks and reducing the need for repetitive content handling during localization processes.
35%
Improved transparency and full visibility of translation status across all website content, enabling teams to easily track what is translated, outdated, or pending review in real time.
50%
Reduction in time needed to launch new language versions of websites by streamlining translation workflows and minimizing delays in content localization and approval processes.
