Goes beyond simple translation with autonomous agents that gather context, evaluate quality, and iteratively refine results for superior output.
📚
Terminology consistency
Maintain consistent translations with glossaries. Define term mappings upfront or let Vertana automatically extract and accumulate terminology as it translates.
✨
Quality refinement
Iteratively improve translations through evaluation and refinement cycles. Set quality thresholds and let Vertana work until the translation meets your standards.
🏆
Best-of-N selection
Use multiple language models simultaneously and automatically select the highest-quality translation through comparative evaluation.
🔍
Context awareness
Provide additional context through required or passive sources. Style guides, glossary databases, or any external information can inform the translation process.
🌐
Cross-runtime
Works seamlessly on Deno, Node.js, and Bun. Built on the Vercel AI SDK for broad language model provider support.
Are you an LLM? View /llms.txt for optimized Markdown documentation, or /llms-full.txt for full documentation bundle