Crowdin

Here's the honest way to decide: does your workflow already touch Git, a CI pipeline, or an engine plugin? If yes, Crowdin saves meaningful time. Strings sync without a human exporting files, OTA updates push translations to live apps without a store release, and branch-based management keeps parallel release lines from tangling. The AI stack — Dreams learning from translator edits, Advisors flagging stale strings after a glossary change — is the rare automation that removes real work rather than adding a dashboard to check. We'd reach for Crowdin when the team is engineering-led and language count is growing. SaaS shops shipping web plus mobile, game studios on Unity or Unreal with Steam and Epic storefronts, and doc teams on GitBook or Notion all get first-class paths. The July 2026 serverless-app opening matters more than it sounds: it means you can build a bespoke connector without maintaining a backend, which is exactly the glue enterprise localization always seems to need. When to pass. Small teams on the free plan will collide with the hosted-words ceiling quickly — a published limit we can't restate without the current number, so check the plan calculator before committing. If your content is a handful of one-off documents, a translation agency is cheaper and simpler. And if you want a tool that just works with zero configuration, Crowdin will frustrate you: the AI settings reward tuning, and the defaults aren't always what you want. The billing model is where opinions split. Hosted words are source words multiplied by target languages, so going from five locales to fifteen roughly triples cost on the same codebase. That's fine if you're deliberate about scope and ruthless about stale-language cleanup. It bites teams that add languages speculatively and