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Next.js Internationalization (i18n): Going International With next-intl
19 min read
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While English is known to be the lingua franca of the web, when you look at the the top languages by number of native speakers, the result looks fairly more diverse: 1. Chinese (1.3 billion native speakers) 2. Spanish (485 million native speakers) 3. English (373 million native speakers) 4. Arabic (362 million native speakers) 5. Hindi (344 million native speakers) With language being the foundation of communication, it’s clear that if you want to make your web content available to an international audience, you can enhance the user experience by supporting more than a single language. Internationalization, often abbreviated to i18n, prepares your application for localization to any language or region. In this article, we will explore the process of adapting a Next.js site that was initially designed for a single language & market to be able to cater to an international audience. We will achieve this by implementing internationalization using next-intl library, specifically created for Next.js. The preferred choice for the App Router due to its deep integration with React Server Components, robust type-safety, and an architecture optimized for performance. To practically explore this transition, we will discuss the Next.js i18n of an e-commerce storefront for a bicycle manufacturer based in the UK that is planning to sell its products to Switzerland.

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AI Translation: No Quality Loss. Ajax Systems Content Localization
MT Translation: 3 Times Cheaper, 2 Times Faster, No Quality Loss. Ajax Systems Localization
5 min read

In the fast-changing global business world, making your message clear in different languages is crucial. Ajax Systems, a tech company, is an excellent example of how smart tech can make this process easier and cheaper. Ajax Systems used to do translations using another localization tool. But then, they decided to try something new and found Crowdin. They started using machines to help with translations, making things much faster and cheaper without losing the quality. In this case study, we'll examine how Ajax Systems changed its translation process using Crowdin integrated with DeepL Translate, Reverso, and OpenAI. So, come along as we explore how Ajax Systems' localization team made the translation process, more innovative and more efficient. <table> <thead> <tr> <th>SUMMARY</th> <td></td> </tr> </thead> <tbody> <tr> <th class="text-nowrap align-baseline">Functionality Used</th> <td> <ul> <li> <a href="https://support.crowdin.com/enterprise/groups/" target="blank"> Crowdin Enterprise Projects Groups </a> </li> <li> <a href="https://support.crowdin.com/enterprise/workflows" target="blank"> Workflows </a> </li> <li> <a href="https://support.crowdin.com/enterprise/translation-memory/" target="blank"> Translation Memory </a> </li> <li> <a href="https://support.crowdin.com/enterprise/machine-translation/#deepl-translator" target="blank" > DeepL Translate </a> </li> <li> <a href="https://support.crowdin.com/enterprise/crowdin-enterprise-glossary/" target="blank" > Glossary </a> </li> <li> <a href="https://store.crowdin.com/reverso" target="blank"> Reverso Context app </a> </li> </ul> </td> </tr> <tr> <th class="align-baseline">Key Results</th> <td> <ul> <li> Translated to 11 languages: marketing content (email campaigns, slogans, presentations, blog), Ajax Academy, and technical documentation </li> <li>2 times faster localization thanks to automation (MT, TM)</li> <li>3 times less costly while upholding high standards</li> </ul> </td> </tr> </tbody> </table>

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