Large Language Models for optimizing localized content creation

In the past, speed was primarily the key advantage of web developers; today it is equally important on the side of content creators. The key challenge for modern teams is to establish an optimized and streamlined system that enables fast preparation, editing and publishing of digital content, from blogs and campaign pages to localized translations and other content elements. 

For larger websites, it is crucial to have a CMS (Content Management System) in place that allows site owners to manage content independently. This gives them full control over the website and, at the same time, the ability to publish changes immediately, as it eliminates time-consuming communication with developers. The result is greater agility and faster response to market changes. 

Challenges of multilingual content  

Modern websites are typically multilingual. Implementing multilingual support in a CMS is a relatively simple task for developers, but for content creators, preparing the content presents a new challenge. The reason is simple: not all of us are experts in translation, let alone localization, which requires knowledge of the context and the language of the target audience. 

The traditional solution has been to hire professional translators. Although this approach still ensures the highest quality, it is also time-consuming and cost-inefficient. An average blog post with 1,000 to 2,000 words, at a rate of €0.10 per word, thus costs €100 to €200 for the translation of a single article. If content is published in multiple languages, costs and timelines multiply quickly. 

Fortunately, we live in a time when translation tools and language models are becoming increasingly accurate, faster and more accessible. Artificial intelligence technology enables the creation of multilingual content to shift from a time-consuming process to a fast and cost-effective system. 

We encountered the challenge of a large volume of content during the development of the Junai website. To support the expansion of sales into European markets, we wanted to provide users with access to content in their native language. All management of the site and translations is integrated into the CMS, which ensures transparent, fast and efficient content editing. While we created content in Slovenian quickly, translations became the bottleneck. To remove this constraint, we decided to use large language models (LLM), which enable fast, high-quality and cost-effective generation of translations. 

For generating translations we use the gpt-4o-mini model, which combines high speed, accuracy and cost efficiency. Doubts about translation quality were quickly dispelled: test translations of professionally written Slovenian blog posts into English showed that the model delivers high-quality translations suitable for publication. 

Implementation and benefits of the system 

The implementation of translation generation for Junai operates on two levels, providing maximum flexibility for content creators. At the local level, they can generate a translation for a single entity on the site, for example for one subpage, blog post or campaign page. This allows them to review the results immediately and, if necessary, adjust the content before publishing it. 

Returning to the example of an average blog post with 1,000 to 2,000 words, this corresponds to approximately 2,000 to 4,000 tokens (the unit in which the model processes text). Generating a translation with the gpt-4o-mini model takes only 30 to 40 seconds and costs between €0.01 and €0.02, which is  a cost and time advantage that is virtually incomparable when compared with a professional translator. 

At the global level, the system enables translation of all content from one language into other languages simultaneously. Such an implementation involves complex interactions with the database and sensitive data structures, so the system must be extremely precise and secure to prevent loss or corruption of other content. 

With this approach, we can translate the entire website into another language in 10 to 20 minutes for less than €5, enabling companies to quickly support expansion into international markets without the high costs and delays associated with traditional translation.  

The key question most often revolves around translation quality. A professional translation that takes into account context, local norms and language structures undoubtedly makes a stronger and more persuasive impression on the reader. It is important to emphasize that today the difference in quality no longer relates to basic grammar or incorrect word usage, but to a subtler understanding of context and the choice of more contextually appropriate expressions.  

Strategic value 

Professional translations and editing remain the gold standard for content where stylistic precision and expressive polish are crucial. However, in cases like Junai, where a company is entering several foreign markets at the same time, translation speed becomes as important as textual perfection. 

Generated translations, created on the basis of professionally prepared content, are natural, fluent and of sufficient quality for immediate publication. Perfect stylistic flawlessness is not essential in such a context; what matters is that content is quickly accessible to users in their language. 

By using large language models, we at Junai have achieved a balance between quality, responsiveness and cost efficiency, and have demonstrated that artificial intelligence can become a reliable tool for smart localization of digital content.