How Co-op Translator Became an Azure Open-Source Project

This video pushed me to explain Co-op Translator as a journey, not just a feature list.

The technical description was straightforward: use Azure AI services to translate Markdown and text inside images. But the more important story was how a practical automation need became an Azure open-source project with maintainers, users, feedback, and repository workflows.

That distinction mattered. A tool that touches other people's documentation has to earn trust. It is not enough for the translation to look good once. The workflow has to be understandable, reviewable, and reliable enough for maintainers to accept changes in their own repositories.

The video also helped me connect the project to the broader direction that later became Localizeflow. The product did not exist yet, but the operating model was already visible: translation is useful only when it fits the way open-source projects actually maintain docs.

The principle I still carry from this work is that open-source automation is never only technical. It has to respect the people who will review, debug, and live with the output.

Watch the video:

[Azure 톺아보기] EP.01 | Co-op Translator: 번역 자동화 툴이 Azure 오픈소스가 되기까지