Translation

If you’ve ever managed multilingual content, you know what a grind it can be. It’s tedious, time-intensive work that’s prone to errors and ultimately isn't scalable unless it's automated. Traditional content management system (CMS) platforms haven’t helped. Because of their architecture, content often gets tangled up in templates or the presentation layer, making it hard to extract. Headless CMS architecture is different. Content lives in structured, API-accessible fields, which means translation can be treated as a data operation rather than a manual one, making translation much easier and scalable. In this guide, we'll cover how headless CMS architecture sets you up for multilingual content from the start, what teams forget to localize beyond body copy, best practices for developers, and how ButterCMS + Crowdin work together to automate the translation workflow.

Let's be real about a situation that happens all the time when scaling large websites: you're managing a global website. Your boss wants the site live in 15 markets by Q2. You've got translators working in Crowdin, content flowing through DatoCMS, and you're supposed to sign off on everything being “good to go”. There's just one tiny problem: you don't speak German, Japanese, Portuguese, or the other 12 languages you're supposedly managing. You can't review the translations yourself. You can't afford to hire 20 native speakers for full-time QA. You can't just trust that everything is fine and hope for the best when the CEO asks if the Spanish site is ready. You need a system that works, and you can set one up using DatoCMS and Crowdin together.

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. <Aside title="Note"> This list is current as of June 2026 and is based on publicly available models. This landscape is rapidly evolving, and other models may become available soon. This is just our opinion, and we aren't emphasizing that you need to change your provider or your workflow. </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

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.

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.

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.

Most of the videos use subtitles now. A research found that adding subtitles to a video made it 80% more likely to be watched. Translating subtitles into several languages is a great way to reach even more people with your video, webinar, or podcast. So, let's learn more about subtitle translation, how Crowdin can be part of your strategy for localization, and how to start your next international subtitling project.

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.

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.