Smartling Blog

How to manage multilingual content at enterprise scale

Admin — Wed, 18 Mar 2026 04:00:00 GMT

Enterprises rarely struggle to translate one page. The problem is keeping multilingual content aligned across teams, tools, and nonstop updates — without delays or inconsistent messaging.

LLM translation use cases inside an enterprise translation platform

Admin — Fri, 06 Mar 2026 12:00:00 GMT

LLM translation is rapidly changing how enterprises approach localization. In enterprise localization, it’s not hard to find a model that can translate.

MCP servers: Bridging the gap between development and localization

Admin — Tue, 03 Mar 2026 22:19:02 GMT

The power of context

AI is transforming the way teams build and ship products, and translation workflows are evolving alongside it. AI-powered translation is quickly becoming the standard for companies focused on international growth because it accelerates localization, reduces translation costs, and frees product and engineering teams to focus on higher-value work.

6 benefits of repository connectors for localization

Admin — Mon, 15 Dec 2025 23:29:54 GMT

From products and marketing to security and support, developers impact every function of an enterprise. Dev teams are bombarded by a constant stream of priorities—building new features, shipping code, fixing bugs, meeting release deadlines, and more. Adding translation and localization into the mix can feel like a tedious, disruptive (and often manual) chore. But it doesn’t have to be. That’s where repository connectors come in.

The 17 insights we learned from Smartling's 2025 events

Rachel Albrecht — Mon, 15 Dec 2025 16:36:38 GMT

If 2024 was the year everyone experimented with AI, 2025 was the year expectations caught up. Suddenly, localization leaders were being asked to show impact (not just output), to explain quality in a new way, and ultimately, to turn AI hype into real results.

How accurate is DeepL? Full review and best alternative tools

Reagan White — Thu, 11 Dec 2025 05:00:00 GMT

DeepL is a machine translation engine and AI translation provider known for producing high quality output, especially for European languages. Many enterprises use it as one of their primary MT engines, but accuracy varies more than most people expect. This guide breaks down DeepL’s strengths, its limitations, and why the most accurate enterprise translation programs use multiple MT engines orchestrated together instead of relying on a single provider.

Why your i18n is underperforming and how to fix it: Best practices for global-ready products

Admin — Wed, 03 Dec 2025 17:09:36 GMT

“Good” i18n isn’t good enough

Optimized internationalization (i18n) is the process of designing software so it can support any language or region without rewriting code. It lays the foundation for effective localization (l10n) by ensuring your product can handle diverse text, formats, rules, and layouts. Without it, localization and translation can be slow, inconsistent, and hard to scale. But, despite the growing adoption of i18n, many businesses still struggle with delivering a smooth, localized experience for their customers.

Advances in LanguageAI: What’s next for Smartling in 2026

Rachel Albrecht — Wed, 03 Dec 2025 16:54:40 GMT

Smartling achieves ISO 27001 certification for information security

Stephanie Liu — Wed, 03 Dec 2025 03:35:25 GMT

Over the past several years, we’ve made deliberate, sustained investments in building a security posture that meets the needs of modern global enterprises. As organizations translate more sensitive content and adopt AI across their workflows, the expectations for data protection have expanded significantly. Security is no longer a back-office function: it is a core requirement for operating at global scale.

6 proactive localization strategies for dev teams

Admin — Thu, 13 Nov 2025 15:27:24 GMT

Leading with localization

By 2027, it will take 37 languages to reach 97% of internet-accessible GDP (eGDP). Obtaining global reach is more than an ambitious business goal—it’s a full-stack technical challenge. As localization becomes the new norm, developers are increasingly tasked with building products that adapt seamlessly to new languages, regions, and user expectations. Building for the future brings enormous opportunities, but also new complexities.