How Multi-Language Training Works
You write your training once, in whichever language is easiest for you. Botnira handles the rest -- automatically answering each customer in their own language, across 95+ languages.
Write once, answer in any supported language
When you set up your business description and FAQs in Bot Studio, you write them in whichever language is most natural for you -- most businesses use English or their local language. You don't write separate versions for each language you expect customers to use.
When a customer writes or speaks in a different language, Botnira detects it and responds in that language automatically, drawing on the same underlying training. A caller asking about your hours in Spanish gets an accurate answer sourced from the exact same business description as an English caller -- there's no separate Spanish version to keep in sync.
A few things worth knowing
- Keep proper nouns consistent. Your business name, product names and specific service names should be written the way you want them to appear, since names don't always translate the way general phrases do. If a name is getting mishandled in another language, that's worth checking in Live Preview.
- Test in the languages your customers actually use. If a large share of your customers speak a particular language, switch Live Preview to test in that language directly rather than assuming the translation will land exactly as intended.
- FAQs follow the same rule. A static FAQ answer you wrote in English still gets translated for other languages -- write it clearly enough that it translates well, avoiding idioms or phrasing that's hard to carry across languages.
Related guides
Training Your AI Receptionist
The full walkthrough of Bot Studio, including business description and fallback message.
Read the guide →Writing FAQs That Prevent Wrong Answers
When to use an FAQ instead of your business description, and how to write ones that hold up.
Read the guide →How the AI Receptionist Works
The research behind response accuracy and language coverage.
Read the research →