AI-powered translations
you can actually ship
Use source code analysis, context enrichment, styleguides and integrated checks to translate your app—so quality holds up in languages you don't speak. All from the command line.
Made for next-intl
By Jan Amann
Author of next-intl
How it works
A pipeline, not a black box
Great translations need more than a model. Every string moves through dedicated steps that prepare, review, and verify.
- 1
Static analysis
Your source code and messages are analyzed at the AST level—catching unused messages, missing translations, broken ICU arguments, and more.
- 2
Source text review
Source copy is reviewed for spelling, grammar, and styleguide adherence before mistakes can fan out into all your other languages.
- 3
Context enrichment
Ambiguous wording is resolved by extracting intent from how a given message is used in source code, so translation works from knowledge instead of guesses.
Built-in translation
eloqnt/engine
Context-aware translation with language-specific styleguides attached, plus post-translation checks for accuracy, consistency, and formatting.
Integrated Crowdin support
Translation management system
Localization outgrowing your repo? Crowdin adds reviews, integrations, collaboration, and more—your strings and context carry right over.
The bottom line: Would you merge unreviewed code? When you tell your agent to “just translate”, it does what it’s told. Whether it has enough context, or not.
But quality needs a gate. eloqnt/studio is that gate, and with a guarantee on full context, it helps to translate with confidence—instead of guesses. For you, and your agent.
Ready to merge translations without holding your breath?
Coming soon
Request an invite