Detailed Introduction
Jta is a command-line tool for translating i18n JSON files using large language models (LLMs). It implements an agentic reflection mechanism that translates, self-evaluates, and refines results to improve accuracy and fluency. Jta also supports incremental translation, processing only new or changed keys to reduce repeated API calls and cost.
Main Features
- Agentic reflection: translate → self-evaluate → improve, a three-step cycle that raises translation quality.
- Terminology management: automatic detection and persistent term dictionaries to ensure consistent domain terminology.
- Format protection: preserves placeholders, HTML, Markdown, and other formats to avoid corruption.
- Incremental translation: only translate new or modified keys to save API usage and time.
Use Cases
Jta is suitable for localization workflows that maintain multi-language i18n JSON resources: from frontend copy to backend messages, it can be integrated into CI/CD pipelines. It also fits teams that want a CLI-based translation pipeline or need incremental translation for large-scale JSON resources.
Technical Features
- Multi-provider support: compatible with OpenAI, Anthropic, Google Gemini and other major LLM providers.
- Concurrency & retries: batch concurrent translation with exponential-backoff retry strategies for production readiness.
- Multiple install options: Homebrew packages, cross-platform binaries, and Go source build available.
- Lightweight persistence: terminology and translation results are stored as JSON for version control and manual curation.