You need a place to store your terms and vocabulary, define how to translate them into target languages, or simply keep a word the same across all languages. However, there is no built-in tool to help you create and manage a translation memory. L10nGenie uses a table-based format to visualize and help you manage your translation memory easily and effortlessly.

When you want to perform a batch translation by dragging a language file containing all the keys that need translation into a GPT chat session, you need to write a complex prompt to specify what you need, how it should be translated, and provide translation memory context. Crafting a complete and comprehensive prompt like that is quite challenging, and there's no guarantee everything will work as desired, nor can it be reused. It's also difficult to provide context for each key.

While translating each key individually yields higher accuracy, allowing you to review and refine translations, it demands more time.

How can we prove how the application stores and uses your API key? The easiest way is through transparency. L10nGenie allows you to see what it does: it stores your API key securely and locally in your browser and calls OpenAI directly from your browser to the OpenAI server. You can see it for yourself.

Currently, we lack a tool that can visualize all your localization data in a modern, clean, and intuitive way while providing multiple perspectives for viewing the data. L10nGenie offers all of this with a spreadsheet-based user interface, giving you an experience similar to Google Sheets, along with a host of powerful features.