Localization Tips & Product UpdatesPage 7

To make your product or service easily available in international markets, you need to implement internationalization (i18n). I18n is fundamentally an architectural process of designing code that can be easily adapted to different languages and regions without changes to the source logic. If you are a business aiming to reach different target markets, this guide is for you. In this article, we will discuss what i18n is, why it is important, the phases of the i18n process, and the main integrations for establishing efficient processes and achieving accurate outcomes. Let's get started.

Localization is the process of adapting your app’s content, design, and UX to match the language, culture, and preferences of users in different regions. In iOS development, localization involves: - Translating text such as labels, buttons, and alerts. - Adjusting date, time, and number formats. - Adapting images or icons with regional meaning. - Handling right-to-left (RTL) languages like Arabic or Hebrew. The main goal of localization is to improve accessibility and engagement by making your app more intuitive for people across different languages. Why do you need to treat l10n right? Because it directly impacts your business goals. When users see an app in their language, they are more likely to: - Download and try it. - Understand the features more easily. - Trust the product and leave positive reviews. - Continue using the app regularly. In this iOS localization tutorial, we’ll walk through how to localize a SwiftUI app step by step – starting with Xcode’s built-in tools and finishing with a more scalable, collaborative workflow using Crowdin. <Aside type="tip"> Want a comprehensive strategy guide? Download our free Mobile App Localization Ebook to master the business side of going global. </Aside>

Most developers, especially front-end developers, believe they get internationalization because they know how to translate strings. However, as Jan Amann put it on The Agile Localization Podcast, that belief is exactly the root problem. Internationalization is not translation; it’s product architecture. It’s how you model language, market variants, currency, locale, routing, content pipelines, testing, layout impact, and performance before you even think about translation keys. That is the mental switch most developers never make and why so many multilingual projects fall apart as soon as you add the third language, the first regional variant, the first new market, or the first SEO requirements. Jan has been thinking about this for half a decade. He’s the creator of next-intl (the internationalization library used by Ethereum’s website) and author of the i18n course for React/Next.js devs. And he says that developer misconceptions are the #1 blocker to building apps that actually scale globally. Listen to the new episode on: - Apple Podcasts - Spotify - YouTube

This month, we are introducing three significant new features. All three are currently available by invitation only. - Crowdin Apps Vibe Coding: Build Crowdin apps simply by describing them to the AI. - Crowdin Automator: Like Zapier, right in Crowdin, AI-powered. - Video dubbing: a fully fledged AI dubbing tool. Each feature is a new piece of technology that we are actively refining. We would love to hear your thoughts and feedback to help us perfect them and ensure they are useful. We've also added a Website Context Extractor that uses AI to provide your headless CMS text segments with real context from your website, several Crowdin Store app updates, support for Figma Buzz, and more.

React i18n isn’t just a nice-to-have anymore; it’s something users expect. According to Global Multilingual CX Survey, 68% of people would switch to a brand that speaks their language. This means that about two out of three users might leave your app or website just because it doesn’t feel familiar. Yet internationalization can feel messy. What library should you choose? What is the best way to structure JSON files? What about performance, plurals, RTL text, routing, and lazy loading? This guide will show you how to set up i18next for React i18n from start to finish. Then, it shows how to scale your workflow using Crowdin, including GitHub/GitLab sync, QA checks, and Over-The-Air (OTA) updates, so you don’t rebuild for every copy change. What You Will Learn: - Foundations: What i18n is in React, and how it prepares your code for later localization. - Library Choice: i18next vs. React-Intl - when to use which. - Hands-On: Install, configure, and ship i18next + react-i18nex with clean JSON. - Advanced: Interpolation, plurals, <Trans>, language detection, lazy loading, router. - Scale Up: Replace manual file passing with a TMS, automate with Crowdin (repo sync, translate JSON files, QA, OTA, and use AI for localization).

When you think of Brave, you probably picture the privacy-first browser taking on Big Tech. But behind the headlines about ad-blocking and crypto-rewards, another kind of innovation is quietly transforming how Brave reaches over 100 million users across more than 50 languages. That story starts with Andy Andersen, Brave’s Growth Product Manager for International Expansion, who's redefining what it means to scale global experiences in the age of AI. In his conversation with Stefan Huyghe on The Agile Localization Podcast by Crowdin, Andy shares how his team is weaving AI into localization to supercharge linguists' impact. Listen to the new episode on: - Apple Podcasts - Spotify - YouTube

In localization, context is king. But what if your most valuable brand context – the nuances, the terminology, the single creative phrases – was locked away? For too long, your AI models couldn't fully use that data. Previously, we've relied on traditional Translation Memory (TM) fuzzy matches, often overlooking anything below 50% or even 10% similarity. Those “tiny matches” contain critical stylistic and terminological clues, but they rarely get displayed or used in our workflows. Crowdin's new Vector Cloud app is here to change that, transforming AI translations, by enabling ai to use the most of available context. In the fourth episode of Crowdin Power Up, host Stefan Huyghe and AI localization expert Dorota Pawlak dived into Vector Cloud. They demonstrated exactly what this is, how to set it up, and how to work with it to transform your AI translation workflows. <ResourcesCTA title="Build an AI Localization Workflow with Crowdin" description={null} class="from-gray-900 to-gray-700 dark:from-gray-800 dark:to-[#0B1918]" titleClass="text-4xl! font-semibold" badge="Free Guide" ctaText="Download Now" ctaHref="https://crowdin.com/learn/ai-localization-workflow-ebook?utmterm=ctacrowdinblog" ctaId="ai-localization-workflow-cta" imgSrc="ai-localization-workflow-books.png" showPodcastLinks={false} />