# Translation Strategies

Brian McConnell, Localization Technology Partners I’ve spent the past twenty years working with startups and emerging companies to build out their localization and international growth technology and teams. Being based in San Francisco, I’ve worked with a wide range of companies of all sizes and stages of development, from seed to post-IPO. As varied as these companies were, they all struggled with international growth in similar ways and took longer than they should have to figure things out. The simplest explanation for this is that almost nobody has prior experience with international growth, or if they did, it was in the context of a much larger company that had already figured out tools and structure that allowed them to scale. Startups and early stage companies are inherently shambolic, especially when they are figuring out their product and how it fits within the overall market.

When choosing a translation management system, the evaluation usually starts with a feature checklist: AI capabilities, GitHub integrations, and a smooth UI for translators. But when you look closely at the pricing page, things get tricky. The real differentiator often isn't the feature set – it's how the platform counts your words. The localization market is currently split between two fundamentally different pricing models: Hosted Words and Processed Words. While the distinction might seem technical on paper, it directly impacts your bottom line. It determines whether you pay for the actual size of your product or for every single action your team takes inside the platform. Let’s look at how these models work and where the hidden costs are buried.

Managing content in one language is already a challenge. Managing it across 10, 20, or 50 languages, while keeping up with release schedules, is where most teams fall apart. Translators waiting on file exports, developers fixing layout bugs post-launch, and marketing are blocked because a string wasn't ready in time. That’s how localization becomes the bottleneck. What you can do to prevent this – automate handoffs, reuse what you have already translated, and treat localization as part of the development cycle. Here are seven practices that make the difference.

Efficiently managing localization workflows requires more than just moving files from point A to point B. In product or enterprise companies,, different types of content (like UI strings, technical documentation, or marketing copy) often require different processing steps. In Crowdin Enterprise, a workflow is a visual sequence of steps that automates how content moves through translation steps. Instead of manually assigning tasks for every new batch of strings, you build a workflow template that handles the routing, translation, and review logic automatically. In this article, we will discuss: - How to automate and manage visual localization workflows to eliminate manual file handoffs. - Workflow steps available in Crowdin Enterprise, from traditional to advanced AI features. - Real-world enterprise use cases, including path filtering for legal compliance and handling rapid software releases without losing context.

Moving to a headless CMS architecture like Storyblok, Contentful, Strapi, or Hygraph solves a massive engineering problem: it decouples your content from the presentation layer. Instead of managing a monolithic website where layout and text are fused together, content becomes structured data delivered via an API. Headless CMS localization is the process of translating and adapting this modular data across multiple languages. Because headless content is broken down into hundreds of decoupled component blocks, nested fields, and standalone data entries, localization cannot be a simple page-by-page copy-paste. It requires an automated pipeline that can parse and translate raw data streams without damaging the underlying layout code or application architecture. To scale global content delivery without turning your engineering team into manual data couriers, you need a localization pipeline that matches your headless philosophy. This means choosing between plug-and-play integrations and custom API automation, while ensuring your translation quality directly impacts business performance.

Today more than ever, businesses must communicate across borders and languages to engage diverse audiences. As companies expand into new regions, the need for efficient and scalable language solutions becomes more critical than ever. However, achieving effective multilingual communication isn’t as simple as just translating content. It requires an integrated, strategic approach: Language Operations (LangOps). LangOps goes beyond mere translation – it is a comprehensive framework for managing and scaling a business’s multilingual content, ensuring quality and consistency across all global markets. This article will explore the components of LangOps, how to build a scalable language strategy, and how modern tools like translation management systems (TMS) can enable businesses to execute their global communication strategies more effectively.

A Crowdin project at 100% looks the same whether the translations are excellent or just functional. Strings are filled. The release ships on time. RTL renders correctly in Arabic. From a pipeline perspective, the job is done. From a user perspective, that's only half the story. There's a category of localization problem that doesn't show up in the workflow at all. It shows up three months later, in market performance data. Conversion in the UAE is lower than expected. Engagement in Korea is flat. The product hasn't changed. The feature set is identical in every market. What changed is whether the localized experience actually lands for the people using it. Shipping and performing are different problems. Most localization infrastructure is built to solve the first one, and does it well. The second one is a different kind of work.

There's a big variety of Large Language Models, but which one to consider for your tasks? This guide provides a comparison of the top large language models for translation, information about how top LLMs differ in speed, cost, and the list of supported languages. You will also explore how to build an effective localization strategy and get insights about a hybrid approach of using different LLMs for different tasks, depending on your needs. This guide covers general-purpose and translation-specialized large language models. If you're comparing dedicated machine translation engines instead – DeepL, Google Translate, Microsoft Translator and similar – see our separate guide to the best machine translation software. <Aside title="Note"> These figures are current as of September 2026 and come from each vendor's own pricing page, linked in every section. Model lineups and prices change faster than we can republish, so check the source before you build a budget on any number here. Where two sources disagree – which happens most often with resold rates for open-weight models – we say so rather than pick one. And none of this is a recommendation to switch: if your current setup passes your quality checks, staying put is a perfectly good answer. </Aside> So, stay with us to discover how Crowdin offers flexibility in selecting various LLMs within a single platform. !The list of best llms for translation that Crowdin platform utilizes

Expanding your digital business across borders might sound complex, but it's more possible than ever. Despite this, fewer than 1% of U.S. companies currently sell overseas. That leaves a massive, largely untapped opportunity for digital-first businesses willing to take the leap. !Import and export But going global isn’t just about being online. It’s about connecting with real people, in different countries, on their own terms. That means understanding how they browse, buy, and engage (and shaping your business around that). Translation alone won’t cut it. You need experiences that feel truly local. Let’s break down what it takes to build a sustainable, scalable global expansion strategy in today’s digital economy.

The world is overflowing with content, and much of it needs translation. The global machine translation market reflects this trend, growing rapidly and projected to reach around $4.8 billion by 2032. Localization managers always struggle to balance translation speed, quality, and cost. That’s why picking the right MT software is important for creating efficient and affordable translation workflows. This guide compares the 5 MT engines, focusing on quality, speed, and customization, to help localization managers make informed decisions. - Machine translation software is a computer program that automatically translates text or speech, primarily using Neural Machine Translation (NMT) for more natural results. - Top MT Engines: DeepL Translator, Google Translate, Microsoft Translator, Amazon Translate, ModernMT. - Choosing the Right Tool: Consider language support, cost-effectiveness, customization needs, and integration capabilities with existing systems like a Translation Management System (TMS). - Centralize MT Management: Crowdin acts as a centralized platform that allows localization teams to connect, manage, and use various MT engines from a single interface.

Welcome to the Crowdin Power Up series. Your guides for this journey are Stefan Huyghe and Dorota Pawlak, an AI for localization consultant. They're here to help translators and PMs use Crowdin's most recent AI features. Get ready for a practical tour of Crowdin's AI. We'll show you how Agentic AI improves your localization workflows. You'll learn how to manage context, control tone, handle text lengths, and set up your own rules. <Aside type="caution"> We’re saying goodbye to Agentic AI and upgrading everything to Crowdin Copilot. Learn more about Crowdin Copilot features. </Aside> For a deeper dive, you can watch the full video on YouTube, and we've included some key highlights within this article.

Global business expansion unlocks incredible potential. But how do you effectively communicate with a global audience? The challenge is about translating your entire business to build trust and connection. This guide will teach you what business translation is all about. You'll explore different types of content and discover smart strategies and useful tools. We'll also show you how Crowdin and its expert partners can help you translate your business successfully.

If you’re a localization manager, your job is to create a system that brings together code, design, marketing, linguists, and tools. That system is called a localization strategy. This guide is based on the real-world insights and success stories shared by experts on the Agile Localization Podcast. We’ve taken those expert conversations and turned them into a practical roadmap. We are going to discuss the theory shortly and look deeply at the practical steps, so you can architect a system that scales without breaking.

This guide explores the key differences between transcreation and traditional translation. You'll discover why one goes much deeper than the other to help your brand truly connect and succeed in any market. Quick article overview: - What's the difference? Translation focuses on linguistic accuracy (what is said), while transcreation focuses on emotional and cultural impact (how it is received). - When to use transcreation: Essential for marketing slogans, ad campaigns, brand messaging, and creative content where emotional connection and cultural nuance are critical for success. - When to use translation Best for technical documents, legal contracts, user manuals, and informational content where precision and literal accuracy are non-negotiable. - The solution: Crowdin offers tools, including the transcreation app, to manage both processes within a single localization platform. Keep reading for more detailed explanations and real-world examples.

This article will explore the world of computer-assisted translation (CAT) tools. We will discuss their types, features, benefits, examples, and how to choose the best tool for your needs. Whether you are a translator, a project manager, or simply interested in language technology, read on to learn how CAT software can assist your localization. \For further clarity, we use 'CAT Tool' and 'CAT Software' as the same concepts in this guide. Before we dive into the details, check out this summary on the guide of CAT software: - Definition: CAT tools are software applications designed to technologically support translators and make their translation process faster, more organized, and consistent. - Main types: 1) Desktop-Based (installed locally for offline work), 2) Cloud-Based (used online via a browser), and 3) Hybrid (a blend of online and offline capabilities). - Key benefits: Increased productivity and decreased costs with Translation Memory (TM), enhanced brand consistency and translation quality via Terminology Management and automated QA checks, and better teamwork with collaboration features. - The workflow includes project setup (defining languages, resources, and teams), importing source files, segmenting content into manageable parts, translating phases, collaborative review and editing, and exporting the completed translations in the needed format. - How to choose the best software: Evaluate the project's specific translation requirements (like volume and languages), file formats you need to translate, necessary collaboration and project management features, your budget, and the provider's data security and compliance standards. <BlogCTA title="Looking for a CAT tool?" subtitle="Try Crowdin's CAT Functionality with a 14-day Free Trial" buttonUrl="https://crowdin.com/features/translators-workbench" buttonText="Learn more" buttonId="free-14-day-trial" />

Launching products or campaigns globally shouldn’t mean drowning in endless spreadsheets, broken file versions, and manual back-and-forth. As software, marketing, and design stacks become more connected, manual translation processes simply can't keep up. A Translation Management System (TMS) transforms localization from a slow, fragmented task into a continuous, automated pipeline. It connects your entire tech stack (from GitHub and Figma to your CMS) and allows teams to release localized content instantly without losing quality or brand consistency. In this guide, we will cover how a modern TMS works, why companies of all sizes need one, and how to choose the right system for your workflows. Content Overview - What is a Translation Management System? It's a cloud-based platform that automates and manages your entire localization workflow. - Why invest in a TMS? It saves time and money, improves teamwork, speeds up delivery, and ensures brand consistency. - What features does a Crowdin TMS have? Key features include Translation Memory, Glossary, Machine Translation (MT), AI features, In-Context Editors, Workflow Automation, and integrations with your content tools. - How do you choose the best translation management system? Look for scalability, ease of use, strong integration capabilities, reliable support, robust security, and a flexible pricing model. - Is Translation Management System only for large companies? No, TMS solutions are available and highly beneficial for businesses of all sizes, from startups to large enterprises. <BlogCTA title="Looking for a TMS?" subtitle="Learn about a leading TMS - Crowdin" buttonUrl="https://crowdin.com/demo?utmsource=blog&utmmedium=referral&utmcampaign=tms&utmterm=tms" buttonText="Request Demo" buttonId="book-demo" />

In this article, you will learn: - The technology behind machine translation. - Machine Translation vs. Human vs. CAT Tools. - How accurate is MT, and which engine is best? - When to use MT (and when to avoid it). - How AI and LLMs are replacing traditional MT engines.

In the global economy, localization and translation are essential. However, for newbies, the terminology employed in localization and translation can be confusing. In this article, we will provide a comprehensive glossary of key terms in localization and translation, along with explanations and examples to help you better understand this important field.

What is the cost of a localization error for a brand? Surely you may think a simple misspelling cannot be that much of a problem. But poor translation quality is a huge business risk that leads to financial losses. Forbes research shows that with approximately 300 million online shoppers in Latin America, this value potentially equates to over $46 billion in avoidable lost revenue for foreign companies in that region alone. Just think about it. One error in the UI element can lead to a loss of customer trust. And in the social media era, any error can be the reason for going viral, not for the right reasons. Unfortunately, the traditional testing environment was built around monolingual products. The software functions properly if you are getting the design action. This is the final stage of the software localization lifecycle before launch. However, with multiple target languages, the process becomes much more complicated. That’s why you need to implement localization testing. In this article, we will explore what localization testing is, why it is important for businesses, how to perform localization testing, and which localization tools to use. Let's get started.

Design for internationalization (i18n) is essential for any business wanting to reach a global market. In this blog post, we will discuss the importance of design for internationalization and how to best prepare the design for internationalization to make your product or service attractive to people worldwide.

When Zoom expanded beyond English-speaking markets, it didn't just translate its interface into target languages. It also reimagined its entire SaaS localization strategy. The result is 400% growth in European markets within 18 months. You are not alone if you're struggling with: - Slow time-to-market in new regions - Inconsistent user experience across global markets - Unclear ROI from international expansion Localizing your SaaS product is a very powerful way to unlock huge business growth. Yet most B2B companies treat it as an afterthought. In this article, we will cover: - The importance of b2b SaaS content localization - The process of integrating a SaaS localization maturity model - How to build translation and localization workflows - How to avoid common mistakes when starting the SaaS localization project - The future trends of SaaS software localization Let's get started.

The increasing number of eCommerce stores encourages merchants to scale up their businesses to outrun the competition and stay on the market. Magento localization requires you to go through a lot of steps, among which translation stands out the most. It is a time-consuming and daunting task. But Magento translation pays off in the long run if you use the right tools to optimize the process.

The main aim of multilingual surveys is to reach more people for more feedback and information. To run a multilingual survey, you'll first need to create a base survey in one language. Then, you can translate your survey using Crowdin + Typeform integration. Once your survey, form, or quizz is translated, you'll have a separate one in each language, so you can reach people all over the world. We'll discuss why and how to create multilingual surveys in this article.

App stores are available all over the world. Everyone wants their apps to be seen and used by as many people as possible. Because of this, app translation is crucial for every company expanding to new markets. When creating a multilingual app, you want to ensure it works well across all platforms. Modern projects are often spread across different platforms and built with different stacks. For example, you must translate an app with the same functions for Android, iOS, and the web. In this case, you need a way to localize the same content for different platforms only once.

If you sell a product or service online, it's likely that your customers come from more than just the country where your business is based. If your chatbot can help users with everything from purchasing to getting customer service but only speaks English, you might turn away whole groups of potential customers. It is where a multilingual chatbot comes in. Multilingual chatbots can help businesses in many ways, from getting more leads to making more sales. But one of the most common ways to use a bot is to give excellent customer service on demand. A multilingual chatbot is a great way to do it if you want to make your business more open and accessible to new markets worldwide.

At Tomedes, a translation services agency, Crowdin has been one of the most useful tools for all translation and localization projects. It has allowed the company to work efficiently with our ever-growing community of 20,000 native translators to provide 120+ languages and 950+ language pairs. This article will focus on how to onboard new vendors in using Crowdin and what features are most helpful when conducting QA management.

Did you know? According to CSA Research, 40% of users never buy from websites that are not in their language. If your marketing is only in English, you are missing out on almost half of the global market. However, many brands still make the mistake of thinking that translation is the finish line. In reality, this is just the start. High-impact marketing requires a deep dive into local nuances and consumer habits. A true multilingual strategy adapts your brand’s DNA to fit the local context. That is what will really drive your sales. In this article, we will go over all the main points that will help you establish and run an efficient multilingual marketing strategy, including: - Definition of multilingual marketing and how it can impact ROI - How to prioritize marketing content and channels - Step-by-step multilingual marketing strategy implementation process - Tech solutions for translation process management Whether you are a small business or an enterprise looking for ways to improve conversion rates in new markets, you will get valuable insights. Keep reading.

“The best place to hide a dead body is page two of Google”. This funny quote is guaranteed to get some laughs out of your audience every time you use it. But the hard truth is that the first result in Google does get almost a third of all clicks. So if you want your website to have a chance of success, this is what you should be aiming for. To get to that dreamy first results page, companies and website owners resort to Search Engine Marketing strategies, combining localized paid ads campaigns with seriously optimized content to drive traffic and ultimately convert users into clients. In this article, you’ll learn why SEO efforts shouldn’t stick to only one language and how you can significantly improve your SEO results by making it multilingual with SEO localization.

Today, the business case for a multilingual knowledge base is obvious. Expecting all global customers to read and use English documentation doesn't work anymore, and relying on users to turn on automatic browser translation is a risky compromise. For technical content, product steps, or troubleshooting guides, browser translation is too unpredictable. But when customers can’t find clear answers in their native language, they don’t give up – they simply open support tickets, flooding your queue with repetitive, easily preventable queries. To stop this flood of tickets, most companies try to localize their knowledge bases. But this is exactly where they hit a second, much bigger bottleneck: the KB localization process itself. In this guide, we will show you how to set up a continuous localization workflow for your help center: - We will review the best multilingual knowledge base software - Share 5 tips for technical writers to optimize content before translation begins - Explore advanced AI localization strategies that keep your documentation consistent. - Break down a step-by-step automation setup using ready-to-use Crowdin connectors. Before going to the practical tips, let's discover why a static knowledge base simply doesn’t work for a frequently changing product.

Do you want your software or SaaS product to be used all over the world in multiple languages? If your answer is yes, it’s time to think about localization (l10n). This is an advanced guide for Product Owners and developers, which you can take and implement. In this guide, you will learn: - The modern approach: understand the difference between outdated waterfall methods, continuous localization, and AI localization workflow. - A 7-step plan: we will walk you through the entire software localization process, from connecting your code repository to managing translation content and final quality testing. - Software localization tools to use: learn how a localization platform like Crowdin automates the entire workflow and integrates with the tools you already use, like GitHub and Figma.

Recent technological advancements allow businesses to turn to machine translation post-editing. According to Nimdzi's industry report, about 50% of companies post-edit their machine translations. The concept is simple: combine the speed of machine-translated text with a linguist's review. The translation industry has advanced a lot. Yet raw machine-generated output still requires a human touch to achieve professional standards. And this is where you need machine translation post-editing (MTPE).

Our new offer – Crowdin Language Services, is the fastest way to prepare content for your multilingual audience. Along with the localization management platform, we now deliver professional translation services. Want to reach a multilingual market? Now you have a quick and easy solution. Upload your files and order translations from a new vendor – Crowdin Language Services.

If you're already a pro at localization, you probably think that localization is an excellent way to reach target audiences from a specific region. If you're starting out, localization means the whole process of adapting content to suit a different regional audience. Today, we'll talk about the place of localization in UX and translation in design. In the past, localization may have been considered separate from the entire web design process. Maybe even an afterthought. But in the current, more vastly globalized web development scene, that mindset can lead companies dangerously closer to irrelevance. UX Localization first, not last — this is one of my team's common mantras at Tomedes, a localization services provider, believes in and applies in our customer projects. We're adapting the client's content from one region to another. We'll tell you more about our experience of putting localization first and how Crowdin helps us with this approach.

Until recently, UI localization and design were two independent processes. Moreover, usually, localization was initiated after the product succeeded and was about to scale. The growing customer demand to use products in their native languages, however, is driving teams to release multilingual products right from the start. If you need to launch a product in a foreign market, you should prioritize design-stage localization. Crowdin plugins for Adobe XD, Figma, and Sketch allow designers to take an active role in the localization process. In this article, we will: - Define what UI localization is. - Show you the numbers that convince you localize your UI. - Identify the most common mistakes in UI localization. - Provide a list of best practices and their implementation. - Demonstrate how Crowdin helps in managing UI localization. If you are ready to jump into UI localization best practices, click here.

For a non-tech-savvy person, creating an SRX file with the segmentation rules might become a time-consuming task. You need to go through the list of specifications and compose the rules using the XML vocabulary. On the other hand, merging and splitting the strings manually might take an even longer time. Luckily, there’s now an intuitive way to add custom segmentation rules, test, and apply them to similar strings automatically. In this post, we’ll take a closer look at content segmentation, discuss why it is important in localization, and give you step-by-step instructions on how you can quickly add custom segmentation with the Segmentation Rules Generator app.

As much as 60% of consumers worldwide ‘rarely or never’ buy from English-only websites. This proves that if you’re looking to enter foreign markets, your content has to be localized. But before that, consider writing for translation and localization from the very beginning. Read on to discover some writing for translation tips and how you can accelerate the localization process to improve its cost and time efficiency.

They say you can't improve what you can't measure. A pretty obvious statement that gets trickier if applied to the translation quality control. Localization quality assurance is a complex task that includes linguistic QA, visual QA, functionality QA, and more. You can now cope with the first one easier and get more insights into the contributors' performance with the Linguistic Quality Assurance app. Read on to learn how you can configure the app for your Crowdin and Crowdin Enterprise projects and track the quality, productivity, and efficiency of translation with the industry-standard metrics.