High-quality translations through autonomous agent workflows
Goes beyond simple translation with autonomous agents that gather context, evaluate quality, and iteratively refine results for superior output.
Maintain consistent translations with glossaries. Define term mappings upfront or let Vertana automatically extract and accumulate terminology as it translates.
Iteratively improve translations through evaluation and refinement cycles. Set quality thresholds and let Vertana work until the translation meets your standards.
Use multiple language models simultaneously and automatically select the highest-quality translation through comparative evaluation.
Provide additional context through required or passive sources. Style guides, glossary databases, or any external information can inform the translation process.
Works seamlessly on Deno, Node.js, and Bun. Built on the Vercel AI SDK for broad language model provider support.