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Website Translation in 2026: The Complete Guide

Website translation seems pretty simple, until it isn’t. Businesses don’t think about localization until it becomes an urgent requirement due to new markets

Maksym OstapenkoSmartcat
10 min read
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FROM THE TEAM BEHIND THIS GUIDE

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Website translation seems pretty simple, until it isn’t.

Most businesses don’t think about website localization until it becomes an urgent requirement due to new markets, international traffic, or customers asking for content in their language.

At first glance, the task seems fairly simple. Take your existing pages and translate them. Just run it through Google Translate and copy-paste the content. But quickly, business owners realize the challenges that come with simple website translation.

Why Website Localization Isn’t Easy

Website translation has three main challenges.

First, the scale. Modern websites include landing pages, product descriptions, blog content, help centers, documentation, UI elements, forms, and microcopy.

Even a mid-sized site can contain tens of thousands of text segments. Translating all that content manually isn’t just slow, it’s operationally unsustainable.

Second, content is dynamic. Business websites change constantly. The old pages get updated, products change, new content is published, and just overall, the website text is constantly changing one way or the other.

So, without a system to track and sync these changes, existing translations quickly get outdated.

Third, the complexity. Basic translation features don’t really account for website and product-specific complexities.

These complexities can include industry-specific terminologies, glossaries, maintaining consistency across translations, and location-specific product and pricing changes.

This is where most teams realize website translation isn’t a content task, but an infrastructure task.

Problems with the Traditional Localization Approach

Once businesses recognize that website translation is an ongoing system, and not a one-off translation task, the obvious next step is to look for tools.

The obvious solution is CMS plugins.

CMS plugins

If your site runs on WordPress, Shopify, or Webflow, there's a plugin that promises localization out of the box. For small sites with one or two target languages and content that doesn't change often, these plugins work.

However, these plugins come with their limitations, and for growing businesses, they pose some genuine constraints. These plugins and tools are tied to CMS platform, which means your localization capability is now bound to whatever your CMS is willing to support. The plugins provide limited support for advanced translation workflows and little to no integration with external tools.

In short, these plugins work for small sites with mostly static content and one or two target languages. But once the business needs go beyond simple page translation, i.e., multiple languages, consistent terminology, and collaboration, these plugins start to feel restrictive.

Page Duplication

Another common approach is duplicating pages for each language.

For each language, you will have a different page with URLs like: /en/product, /fr/product, /de/product. If done correctly, duplication can work for SEO, but the maintenance cost makes it unsustainable.

On the flip side, it also creates a maintenance problem that compounds with every language and every change. A typo fix becomes ten edits. A pricing update becomes ten more. Every new blog post requires ten more page creation.

Over time, this turns into a maintenance nightmare, especially for sites with large or frequently updated content.

If a CMS plugin and duplicate pages for each language isn’t the solution, what is then?

A New Model: Translation as a Layer

Instead of modifying the CMS, duplicating pages, and translation built into the website, a better approach is to treat translation as a layer on top of the website.

Here’s how this works:

A small JavaScript script is added to the site, typically in the section. The script runs in the user’s browser and interacts directly with the final rendered page.

The system operates on the DOM (Document Object Model), the fully rendered page, rather than the source code that generated it.

When a visitor lands on the site, it detects their language, fetches the appropriate translations, and replaces the original text with translated content. The system also detects content that appears after the initial load, such as popups, notifications, UI features, and dynamic elements.

Here are the pros and cons of this approach:

Pros

  • You’re no longer tied to CMS-specific plugins or platform limitations.

  • There’s no duplication of pages.

  • Requires minimal maintenance.

  • Works well with dynamic pages and content.

  • Content and marketing teams own the workflow.

Of course, this approach has its tradeoffs.

Cons

  • Translation happens after page load, which has implications for SEO.

  • The system works within the constraints of the existing frontend.

But overall, using translation as a layer works far better than the traditional method of using CMS plugins, which are tied to CMS limitations and don’t scale well.

How to Translate a Site This Way

With this approach, you can go from ‘looking to localize your site’ to ‘the site is live in five languages’ in just a few hours.

You start by creating a project in Smartcat and entering your website's root URL along with the languages you want to support. Smartcat then proxies your site through its own system to generate a preview, a fully interactive copy of your website that lives inside the Smartcat interface.

You trigger machine translation across the site, and translated content appears in the preview within seconds, with all the original formatting, links, and visual structure preserved. If necessary, you can adjust the translation and polish it with manual edits.

Here’s the step-by-step guide :

Step #1. Open the Smartcat website translator and continue to log in/sign up.

Step #2. Select the ‘Translate a website’ option on your account homepage.

Step #3. Enter your website URL and select the source language - the language your website is in. Next, select all the target languages you want your website to be translated into.

Step #4: Smartcat creates a project and gives you the translation options.

Step #5: Once you select the language and click on ‘Start Translation,’ Smartcat translates your site into the target language. All in just one click.

Step #6: In addition to automatically translating your website, Smartcat allows you to edit the translation. You can customize for a particular vocabulary or the cultural and social preferences of the specific target audience.

Step #7: Once you’re happy with the translation, hit Publish. A message will appear with a script.

Step #8: Copy the code and paste it into your site’s section. Once the code has been added, click Validate and continue.

Smartcat then verifies the script is correctly installed and activates the translations on your site.

What Makes Smartcat’s Workflow Different

Behind the scenes, Smartcat converts the translations into minified JSON files and pushes them to a CDN.

When visitors arrive, the script fetches the relevant JSON from the CDN, applies the translations to the rendered page, and surfaces a language switcher (by default, in the bottom-right corner). Their language preference persists across pages, so the experience stays the same as visitors navigate.

This workflow has four main advantages.

First, everything happens externally until the final JavaScript is added. There’s no disruption to your existing site. You need not add any bloated CMS plugins, change website architecture, or create hundreds of duplicate pages for each language.

Second, you can keep updating translations, reviewing content, and publishing changes without touching your codebase again. The workflow is continuous, and not one-time. You can open your Smartcat project, update translations, or make changes, and it will be reflected on your website in real-time.

Third, the workflow stays fast and resilient. The translations are served from the CDN's edge locations, and not from Smartcat's application servers, which means load times are negligible and the system stays available even if Smartcat itself has an outage.

Fourth, the script operates on the browser's DOM rather than on your site's source code, so it captures any text the user actually sees. This includes JavaScript-generated components, modals, popups, dropdowns, and any dynamically inserted notifications.

Potential Trade-offs

The main downside of this approach is:

Search crawlers may not reliably see JavaScript-rendered translations. As a result, SEO can be affected in the languages and markets you’re trying to reach.

So, Smartcat addresses this SEO problem with an optional mode that serves pre-rendered static HTML to crawlers while regular users get the dynamic experience, and translates meta tags, alt attributes, and hreflang automatically.

Another problem that can arise is that different languages take up different amounts of space. German, for example, runs noticeably longer than English. Similarly, Right-to-Left (RTL) Languages like Arabic require the entire interface to flip direction. These text translations can break rigid layouts.

Also, cross-domain iframes like third-party booking widgets, payment forms, can't be translated by any script. It’s a hard browser constraint, and the only way is to install the script there separately.

Why Raw Machine’s Translation Quality Isn't Enough

Despite the scaling, the flexibility, and the ease of use that platforms like Smartcat provide, the question still lingers:

Why not just use Google Translate or DeepL?

The simplest answer is: the raw machine translation is a starting point, and not a finished product.

Smartcat layers four things on top of these raw machine translations:

  • Picks the best engine: Smartcat supports Google, DeepL, the major LLMs, Microsoft, Amazon, and others, and applies its own logic to select the best engine for each language pair.

  • Translation memory: Approved translations are reused automatically whenever the same segment appears again, keeping terminology consistent across thousands of pages.

  • Glossaries: You can lock in how brand names, product names, and industry-specific terms should (or shouldn't) be translated, so the rules are applied consistently across every language and every page.

  • Custom prompts for LLM engines: When using LLM-based translation, you can configure prompts that guide tone and style.

Who Should Use a Website Translator (and Who Shouldn’t)

There’s no one universal model that’s suited to all businesses. And not every website needs a website translator.

To simplify, here’s the heuristic to use.

You should use a website translator if:

  • You can't (or don't want to) modify your CMS or backend.

  • Your site changes frequently, and translations need to stay in sync automatically.

  • You're launching multiple languages at once and need the workflow to scale.

  • You want marketing or localization teams to own translation without the engineering team's involvement.

  • Your stack is mixed, custom, or built on a CMS with weak localization support.

You need NOT use a website translator if:

  • Your site relies heavily on third-party embeds (booking widgets, payment forms) that live in cross-domain iframes.

  • Your design system isn't built to handle text expansion or RTL layouts, and you don't have the bandwidth to fix it.

  • You require strict, granular control over every URL and routing decision.

For most growing businesses looking to expand into newer markets, a website localizer makes sense. For small websites with a handful of pages and looking to translate into one or two languages, it isn’t necessary.

Why Smartcat Is the Right Choice for Most Teams

Once you’ve decided to go for website localization, the next challenge is to choose the right localizer.

For most growing businesses, the constraint on going multilingual isn't translation itself. It's everything around it, including engineering capacity, operational overhead, and SEO risk.

Smartcat removes those constraints without asking you to rebuild what already works:

  • You install a script. Your existing site stays untouched.

  • Your marketing team owns the workflow. You don’t need engineering tickets and days of wait times to update copy.

  • Translations are served from a CDN. Fast, resilient, and synced automatically.

  • Quality is backed by real infrastructure. Translation memory, glossaries, multi-engine MT, and human review can be carried out swiftly.

  • Smartcat has built-in solutions for SEO indexing, dynamic content, and RTL.

Bottom line

Website translation isn't a content task where you copy-paste Google Translate text and create a duplicate page and URL.

It's an infrastructure problem. And the traditional way of solving it using CMS plugins would likely break at scale.

So, a script-based localization solves the infrastructure problem without rebuilding the site. And, of these script-based localization tools, Smartcat’s Website Translator is the most complete implementation model available today.

If you're searching for the best way to make your website multilingual, Smartcat is where to start.

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Alexandra Conza
Edited by
Alexandra Conza

Alexandra Conza is an experienced content leader and data storyteller with a background in B2B Saas, FinTech, and LegalTech. As Smartcat’s Senior Strategic Content Marketing Manager, she develops data- and research-driven content providing actionable insights for enterprises seeking to transform their translation, localization, and global communications. Alexandra is dedicated to delivering objective findings grounded in facts. Her focus is on the intersection of AI, global communications, and business, fueled by her belief in democratizing access to global ideas. Her research has been cited in prominent international platforms including Yahoo Finance, Marketwatch, Business Insider, Investopedia, TNW (The Next Web), Newsweek, MSN, and World Population Review.

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Catherine Cohen
Reviewed by
Catherine Cohen

Catherine Cohen is a versatile copywriter and content strategist with a background in B2B SaaS, business formation, legal tech, and AI. As Smartcat’s Content Marketing Specialist, she crafts research-based, high-impact global content across various channels. Catherine brings a creative yet data-driven approach to developing content that educates and assists enterprises hoping to transform their localization efforts and global content scaling needs. At Smartcat, she plays a key role in articulating the value of expert-enabled AI Agents and agentic workflows, helping teams worldwide understand how Smartcat’s Global Content AI Platform can accelerate growth, improve multilingual communication, and reduce manual effort across departments.

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