Why Every Developer Should Localize Their App
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 /> </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!

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics











Different JavaScript engines have different effects when parsing and executing JavaScript code, because the implementation principles and optimization strategies of each engine differ. 1. Lexical analysis: convert source code into lexical unit. 2. Grammar analysis: Generate an abstract syntax tree. 3. Optimization and compilation: Generate machine code through the JIT compiler. 4. Execute: Run the machine code. V8 engine optimizes through instant compilation and hidden class, SpiderMonkey uses a type inference system, resulting in different performance performance on the same code.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

The shift from C/C to JavaScript requires adapting to dynamic typing, garbage collection and asynchronous programming. 1) C/C is a statically typed language that requires manual memory management, while JavaScript is dynamically typed and garbage collection is automatically processed. 2) C/C needs to be compiled into machine code, while JavaScript is an interpreted language. 3) JavaScript introduces concepts such as closures, prototype chains and Promise, which enhances flexibility and asynchronous programming capabilities.

The main uses of JavaScript in web development include client interaction, form verification and asynchronous communication. 1) Dynamic content update and user interaction through DOM operations; 2) Client verification is carried out before the user submits data to improve the user experience; 3) Refreshless communication with the server is achieved through AJAX technology.

JavaScript's application in the real world includes front-end and back-end development. 1) Display front-end applications by building a TODO list application, involving DOM operations and event processing. 2) Build RESTfulAPI through Node.js and Express to demonstrate back-end applications.

Understanding how JavaScript engine works internally is important to developers because it helps write more efficient code and understand performance bottlenecks and optimization strategies. 1) The engine's workflow includes three stages: parsing, compiling and execution; 2) During the execution process, the engine will perform dynamic optimization, such as inline cache and hidden classes; 3) Best practices include avoiding global variables, optimizing loops, using const and lets, and avoiding excessive use of closures.

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

Both Python and JavaScript's choices in development environments are important. 1) Python's development environment includes PyCharm, JupyterNotebook and Anaconda, which are suitable for data science and rapid prototyping. 2) The development environment of JavaScript includes Node.js, VSCode and Webpack, which are suitable for front-end and back-end development. Choosing the right tools according to project needs can improve development efficiency and project success rate.
