Lokalise Blog - All about localization

Editor’s picks

MCP for localization: How to connect AI agents to your translation workflow

You're in Cursor, working on a new feature, and you need to add a localization key. That means leaving your IDE, opening your TMS, navigating to the right project, making the change, and coming back. Then, doing this all over again the next time you need to check untranslated strings, create a task, or touch anything localization-related. Model Context Protocol (MCP) removes this context-switching loop entirely. Instead of bouncing between tools, your AI coding assistant can inter

Updated on June 25, 2026·Shreelekha Singh

Developer Guides & Tutorials

MCP vs REST API for Localization: When to Use Each

Lokalise gives developers two programmatic ways to manage localization workflows: the REST API and the MCP Server. In any MCP vs API localization decision, the key point is that one does not replace the other. The REST API is built for scripted, repeatable, deterministic automation, such as CI/CD pipelines, batch imports, and webhook-driven deployments.

Updated on June 10, 2026·Ilya Krukowski

Localization ROI: how to build the business case

How to build the business case that turns localization from a line item into your highest-return growth lever. Your board wants growth from global markets. Your competitors are already there. And your localization team has the tools to deliver. So why is localization still stuck in the "cost center" conversation? It's a familiar tension. The data overwhelmingly shows that localization drives revenue — through discoverability, conversion, and loyalty. Yet in too many organization

May 22, 2026·Marta Puerto

Which brands are localizing best?

You'd think speaking the same language would be enough. But when Apple—one of the most recognized brands on the planet—ranks dead last for localization in the UK, a native English-speaking market, it's clear that "going global" takes a lot more than translation. Lokalise surveyed 1,000 consumers across eight countries to find out which brands actually feel local, and here's what we found. Key takeaways McDonald's ran

Updated on May 26, 2026·Brittany Wolfe

AI Translation

7 AI tools your localization team needs to master in the GenAI era

GenAI isn’t just changing how translations are produced. It’s reshaping the entire localization workflow. Most teams didn’t build their workflows for this shift. They’re still relying on a mix of spreadsheets, standalone MT engines, and manual file handoffs. It’s familiar, and for a while, it worked. But it was never designed for the scale teams are dealing with now.

Updated on September 1, 2026·Mia Comic

Localization Best Practices

Localization audit trail: how to track, monitor, and govern translation changes

A translation changed, but no one knows who did it or when. The release is already live. What do you do? When multiple contributors work on the same project, there’s a good chance that strings get edited, approved, overwritten, or renamed. Without a clear localization audit trail, small changes turn into production issues, and tracking them down takes time you don’t have. This lack of visibility slows you down significantly. It makes troubleshooting harder, weakens accountability,

Updated on April 27, 2026·Mia Comic

AI Translation

AI translation with glossary support: Deterministic terminology for LLMs

LLMs are fluent in generating outputs, but they're not faithful to your brand. When a general-purpose LLM translates your product UI into 15 languages, it doesn't know which terms are trademarked, which phrases have legal restrictions, or which features are deprecated. It makes a statistical guess. At scale, this guesswork can lead to major inconsistencies, compliance risks, and a post-editing overload. The challenge: AI models’ probabilistic outputs are not ideal

Updated on April 26, 2026·Shreelekha Singh

The localization mistakes marketers wish they could take back

Your campaign killed it at home. Then you launched it in Brazil, and the tagline became a punchline. Sound familiar? Nearly 3 in 10 marketing and company leaders say it's happened to them, and the cleanup cost thousands of dollars. Lokalise surveyed 392 marketing and sales leaders who localize content across multiple countries and languages to find out what actually goes wrong, and what they'd do differently. What came back wasn't a polished post-mortem. It was an honest reckoning from

Updated on April 17, 2026·Brittany Wolfe

Editor’s picks

Developer Guides & Tutorials

Lokalise articles - Page 2

Editor’s picks

Laravel localization: A step-by-step guide with examples

How to translate languages in Python with Google Translate and DeepL (plus more)

Angular i18n: internationalization & localization with examples

MCP for localization: How to connect AI agents to your translation workflow

MCP vs REST API for Localization: When to Use Each

Localization ROI: how to build the business case

Which brands are localizing best?

7 AI tools your localization team needs to master in the GenAI era

Localization audit trail: how to track, monitor, and govern translation changes

AI translation with glossary support: Deterministic terminology for LLMs

The localization mistakes marketers wish they could take back

Editor’s picks

Laravel localization: A step-by-step guide with examples

How to translate languages in Python with Google Translate and DeepL (plus more)

Angular i18n: internationalization & localization with examples

Stop wasting time with manual localization tasks.

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