A few years ago I went to a talk by one of the early developers at Facebook.
Out of all of the growth features that Facebook launched in the early days, only 1 out-performed all of their forecasts...
That feature was localization.
Ever since that talk, I have always prioritized localizing my apps as soon as possible, and it has paid MASSIVE dividends.
But I've noticed that many developers still choose to ignore localization for far too long.
(Most likely because they think it's too costly or complex)
This post will explain WHY localization matters and HOW to implement it in the most efficient way possible.
Why You Should Care About Localization
I think most developers intuitively understand why localization is a good idea, but let's highlight some of the key reasons:
1) Global Reach = Bigger User Base
Only 25% of internet users speak English, so by supporting multiple languages, you tap into the other 75%, opening up growth opportunities in less competitive regions.
2) Improved User Experience
Users are more likely to stay if your app feels native to their language. Localization boosts accessibility and engagement by creating a personalized experience.
3) Higher Conversion Rates
72% of consumers prefer buying in their native language. Localized apps convert better, leading to more in-app purchases, subscriptions, and user engagement.
4) Better SEO for International Markets
Localized content improves your app’s visibility in global search results, helping it rank higher when users search in different languages.
Localization Best Practices
Alright now assuming that I have convinced you of the benefits of localization, let's talk about how to save yourself some headaches:
1) Plan Ahead with Flexible Text Storage
Store all user-facing text in external files like .json from the start, so it’s easy to extract and translate later without touching your core code.
2) Automate Locale-Sensitive Formatting
Make sure your app automatically adjusts for region-specific formats, such as dates, times, and currencies, to ensure correct display across different countries.
3) Handle Text Expansion
Ensure your UI can accommodate longer translations without breaking layouts. This helps prevent overflow issues when translating shorter text into languages that take up more space.
4) Use AI-Powered Automation
Automating the translation process with LLMs saves significant time, especially for apps that update frequently.
I used to work with human translation vendors but it was extremely expensive/slow. Not to mention LLMs are really good at this. (It was the original use case for LLMs after all).
The Simplest Way to Implement Localization
Alright this is a shameless plug, BUT... I just launched a localization product that solved all the problems I've had with localization in the past.
The product is called Blendin.
Here's how we enable developers to localize their entire app in just 4 steps:
(Note this flow is for React, but we list out other flows on our site)
1) Install the Blendin CLI and React SDK
npm install -g @blendin/cli npm install @blendin/sdk-react
2) Wrap your application in the BlendinProvider
import { BlendinProvider } from '@blendin/sdk-react'; import blendinConfig from './blendin.json'; export const App = () => { return ( <blendinprovider config="{blendinConfig}"> <homescreen></homescreen> </blendinprovider> ) }
3) Use the t hook to tag text you want translated
import { useTranslation } from '@blendin/sdk-react'; export const HomeScreen = () => { const { t } = useTranslation(); return ( <div> <p>{t('This text will be automatically translated by Blendin')}</p> </div> ) }
4) Run blendin translate to generate the translation files
blendin translate
Follow these steps and BOOM, your entire app is translated. Just like that.
And the best part is that we'll let you translate to your first 2 locales entirely for free.
Oh and so you don't think I'm only shilling our app, I encourage you to research other products like: Lokalise, Crowdin, Phrase.
I am confident you will find that none of these alternatives are as developer friendly as Blendin. (Believe me, I wish they were)
Conclusion
Regardless of whether you use Blendin or not, I hope you all take away this one point from this article:
Localize your app ASAP frens!
Your users will thank you ?
The above is the detailed content of Why Every Developer Should Localize Their App. For more information, please follow other related articles on the PHP Chinese website!

The main difference between Python and JavaScript is the type system and application scenarios. 1. Python uses dynamic types, suitable for scientific computing and data analysis. 2. JavaScript adopts weak types and is widely used in front-end and full-stack development. The two have their own advantages in asynchronous programming and performance optimization, and should be decided according to project requirements when choosing.

Whether to choose Python or JavaScript depends on the project type: 1) Choose Python for data science and automation tasks; 2) Choose JavaScript for front-end and full-stack development. Python is favored for its powerful library in data processing and automation, while JavaScript is indispensable for its advantages in web interaction and full-stack development.

Python and JavaScript each have their own advantages, and the choice depends on project needs and personal preferences. 1. Python is easy to learn, with concise syntax, suitable for data science and back-end development, but has a slow execution speed. 2. JavaScript is everywhere in front-end development and has strong asynchronous programming capabilities. Node.js makes it suitable for full-stack development, but the syntax may be complex and error-prone.

JavaScriptisnotbuiltonCorC ;it'saninterpretedlanguagethatrunsonenginesoftenwritteninC .1)JavaScriptwasdesignedasalightweight,interpretedlanguageforwebbrowsers.2)EnginesevolvedfromsimpleinterpreterstoJITcompilers,typicallyinC ,improvingperformance.

JavaScript can be used for front-end and back-end development. The front-end enhances the user experience through DOM operations, and the back-end handles server tasks through Node.js. 1. Front-end example: Change the content of the web page text. 2. Backend example: Create a Node.js server.

Choosing Python or JavaScript should be based on career development, learning curve and ecosystem: 1) Career development: Python is suitable for data science and back-end development, while JavaScript is suitable for front-end and full-stack development. 2) Learning curve: Python syntax is concise and suitable for beginners; JavaScript syntax is flexible. 3) Ecosystem: Python has rich scientific computing libraries, and JavaScript has a powerful front-end framework.

The power of the JavaScript framework lies in simplifying development, improving user experience and application performance. When choosing a framework, consider: 1. Project size and complexity, 2. Team experience, 3. Ecosystem and community support.

Introduction I know you may find it strange, what exactly does JavaScript, C and browser have to do? They seem to be unrelated, but in fact, they play a very important role in modern web development. Today we will discuss the close connection between these three. Through this article, you will learn how JavaScript runs in the browser, the role of C in the browser engine, and how they work together to drive rendering and interaction of web pages. We all know the relationship between JavaScript and browser. JavaScript is the core language of front-end development. It runs directly in the browser, making web pages vivid and interesting. Have you ever wondered why JavaScr


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Dreamweaver Mac version
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.
