Xpolyglot

Set it up by adding your Xcode project, connecting your OpenAI API key, and choosing the languages you plan to support. The app scans your resources and proposes machine drafts. You review the suggestions in context, adjust wording, and confirm what’s ready. Everything stays grouped by locale so you can move through languages without bouncing between tools.

When your code changes, run another scan. Only new or edited strings are flagged, which keeps the workload focused. You can preview estimated costs for machine output versus a traditional vendor and decide per update which path to take. The cycle is straightforward: build, spot what changed, translate just that, and move on to release.

Your store pages follow the same workflow. Update the English description, keywords, or What’s New, then walk through each market side by side until all copy matches your intent. Ship when both the app text and the listing are aligned, avoiding mismatches between UI and marketing.

This approach fits several real situations: gearing up for a first multilingual launch, keeping pace with frequent sprints, or refreshing release notes across many regions. It works alongside your existing Xcode setup, so you reach more users without reinventing how you ship.