Posted on October 8, 2025 by DForD Software
Internationalization (i18n) testing is the process of verifying that your software works correctly for different languages and regions. This is a critical step in the localization process, but it can also be a major bottleneck. Traditional i18n testing is often a manual and time-consuming process, which makes it difficult to scale. Fortunately, Large Language Models (LLMs) are emerging as a powerful tool for automating and scaling i18n testing. This article explores how you can use LLMs to create a more scalable i18n testing process.
The Challenges of Traditional i18n Testing
Traditional i18n testing involves a number of challenges that make it difficult to scale:
- Manual Effort: Much of the work involved in i18n testing is manual, such as checking for UI layout issues and verifying that the correct date and time formats are used.
- Linguistic Expertise: To effectively test for linguistic issues, you need to have native speakers of each of your target languages. This can be expensive and difficult to manage.
- Time-Consuming: The manual nature of i18n testing means that it can take a long time to test your software in all of your target languages.
"LLMs can help you to automate and scale your i18n testing process, allowing you to ship high-quality multilingual software faster than ever before."
How LLMs Can Help
LLMs can help you to address these challenges in several ways:
- Automated Test Data Generation: An LLM can generate a wide range of test data in different languages, including long strings, strings with special characters, and strings that are likely to cause UI layout issues.
- Automated UI Testing: You can use an LLM to generate scripts for automated UI testing tools, which can help you to identify layout issues in your translated UI.
- Linguistic Analysis: An LLM can be used to analyze your translated strings and flag any that may have grammatical errors or other linguistic issues.
- Cultural Sensitivity Analysis: You can use an LLM to analyze your translated content and flag any that may be culturally sensitive or inappropriate.
A Scalable i18n Testing Workflow
By combining the power of LLMs with a well-designed workflow, you can create a scalable i18n testing process:
- Automated Test Generation: Use an LLM to automatically generate a suite of i18n tests for each of your target languages.
- Automated Test Execution: Integrate your i18n tests into your CI/CD pipeline so that they are run automatically whenever your code changes.
- Automated Reporting: Automatically generate a report of any i18n issues that are found.
- Human Review: Have a human reviewer investigate any issues that are flagged by the automated tests.
By using LLMs to automate and scale your i18n testing process, you can improve the quality of your multilingual software, reduce the time and cost of testing, and deliver a better experience to your global users. The key is to find the right balance between automation and human expertise.
Back to Blog