Show HN: Transly – Cache-driven incremental translation (github.com)

Transly, a new cache-driven command-line interface (CLI) for incremental translations, has been announced, enabling developers to efficiently manage internationalization (i18n) in their projects. By leveraging SHA-256 hashes to track changes in JSON locale files, Transly only sends updated strings for translation, reducing unnecessary API calls and saving costs. Its architecture allows integration with various translation services, including powerful language models (LLMs) or free translation APIs, making it highly flexible for developers. This means users can quickly translate their applications into multiple languages without the overhead of re-translating unchanged content. This development is significant for the AI/ML community as it demonstrates the practical application of LLMs in software localization processes, enhancing the efficiency of i18n practices. Transly also mitigates the risk of data loss with its progressive caching, which saves work after each batch translation, allowing for partial execution in case of failures. Its open-source nature encourages community contributions and innovation, making it a valuable addition to the tools available for developers working with multilingual applications. The integration of various APIs and the focus on efficiency highlight emerging trends in AI-driven localization and translation technologies.