Automating Software Localization with Large Language Models

Posted on October 8, 2025 by DForD Software

Software localization has traditionally been a time-consuming and expensive process. It involves extracting strings, sending them to translators, and then integrating the translations back into the codebase. This manual workflow is prone to errors and delays. However, the emergence of Large Language Models (LLMs) presents a powerful opportunity to automate the entire localization pipeline.

The Vision: A Fully Automated Localization Workflow

Imagine a scenario where a developer writes new code, and the user-facing strings are automatically identified, translated into multiple languages, and a pull request with the localized resource files is created for review—all without any manual intervention. This is the promise of LLM-driven localization automation.

"Automation is about creating a system where localization is a natural part of the development lifecycle, not a bottleneck."

Key Components of an Automated System

To achieve this vision, you need to connect your development and localization processes. Here are the key components:

  • CI/CD Integration: Your automation should be triggered by events in your version control system (e.g., a push to the main branch or the creation of a pull request).
  • String Extraction: A mechanism to automatically parse your source code and extract new or modified strings that need translation.
  • LLM Translation Service: An API call to an LLM like GPT-4 or a specialized translation service to get the translations.
  • Code Integration: A script to take the translated strings and update the appropriate resource files in your codebase.
  • Review and Approval: A process for human reviewers to approve the automated translations, ideally directly within the pull request.

Tools like Quicki18n are designed to provide these components out of the box, making it easy to set up an automated localization workflow.

Benefits of Automation

The benefits of automating your localization process are significant:

  • Speed: Reduce the time it takes to get your software translated and released to global markets.
  • Cost Savings: Lower the cost of translation by reducing the amount of manual work required.
  • Consistency: Ensure that your translations are consistent across your entire application.
  • Developer Efficiency: Free up your developers to focus on building features, not managing translation files.

Automating your software localization process with LLMs is no longer a futuristic dream; it's a practical reality. By embracing automation, you can make your software accessible to a global audience faster and more efficiently than ever before.

Back to Blog