How to Build a Translation Memory and Localization Workflow Tool with Strapi 5
Blog post from Strapi
The text provides a comprehensive guide on building a translation memory (TM) system using Strapi 5, an open-source headless CMS. It details the setup of a localization workflow backend that utilizes Strapi's built-in internationalization (i18n) support and Document Service API to manage translation units, perform fuzzy matching using the Levenshtein distance, and automate translation capture with lifecycle hooks. The guide emphasizes implementing custom services and controllers to enhance Strapi's functionality for storing and retrieving translation pairs. It also outlines steps for setting up the Strapi backend, creating content types for translation memory, translation units, and localized articles, as well as building REST API clients to interact with the TM backend. Furthermore, it suggests next steps for deploying the TM tool to production, adding content-level TM matching, TMX import/export capabilities, and integrating a frontend dashboard for a complete translation management solution.
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