Localization News!

Hi Articulate Team,

I wanted to share some thoughts on the localization feature in Storyline after using it across multiple courses in different languages. First, I want to acknowledge the things I really appreciate:

• It’s incredibly convenient to be able to manage multiple language translations within a single course setup.
• The review process is well-designed — I especially like the feature where reviewers can leave direct feedback within the training itself. This streamlines things on our end since we can implement changes without having to manually re-enter feedback from other sources. That’s a major plus.

However, the actual translation quality being generated is unfortunately a major drawback. I’ve tested this feature while on a free trial and translated several courses. The outcome across all languages has been disappointing. The translations were inaccurate, awkward, and in some cases, outright incorrect — to the point where several native-speaking reviewers provided very negative feedback.

Because of this, I’ve had to revert to using DeepL Pro and Poedit to ensure accuracy. While these tools require me to manually input all changes into the course, the result is significantly better and more professional. That said, it does increase the manual workload, which this built-in feature was supposed to help minimize.

The current translation engine not only affects quality but is also slowing down our overall localization timeline — which defeats the purpose of using the tool in the first place. Given how costly it is, I would strongly recommend rethinking the translation engine and exploring integration with more advanced AI models (such as DeepL or similar) that can deliver higher quality from the start.

This is a promising feature, but it needs major improvement in its core function — translation accuracy — to truly add value.

Thanks for listening,
Connie