Why Multi-Language Support?
72% of customers prefer to buy from companies that provide service in their own language. Multi-language support is not just a translation feature — it's the ability to communicate with customers in a culturally aligned, local, and genuine way. Replywise offers native-speaker level natural conversation experience in 5 languages.
Traditional chatbots usually work in a single language or produce artificial results using machine translation. Replywise's multi-language engine runs independent NLU (Natural Language Understanding) models for each language — correctly understanding idioms, slang, cultural references, and grammatical structures.
5 Language Support
TR, EN, ES, IT, RU — natural, fluent conversation in each.
Native NLU
Independent NLU model per language — understanding, not just translating.
Cultural Fit
Correctly interprets idioms, slang, and cultural references.
Automatic Language Detection
No matter what language your customer writes in, Replywise automatically detects the language from the first message and starts responding in that language. Conversation context is preserved during language switches — a customer can start in English and continue in Turkish, and the agent adapts seamlessly.
You can set default languages per channel — your Turkey WhatsApp number starts in Turkish, your international number in English. The web widget automatically selects starting language based on browser language preference. Customers can switch languages anytime, context is never lost.
First-Message Detection
Detects language on first message, starts immediately without query-response loop.
Seamless Switching
Handles mid-conversation language changes without context loss.
Language-Specific Knowledge Base
Define separate knowledge bases for each language or create multi-language content from a single source document via automatic translation. Your Turkish FAQ content sources Turkish questions, your English documentation sources English questions — no cross-language mixing.
Define custom glossaries for product names, technical terms, and brand expressions. Should "Enterprise plan" be translated differently in each language or stay the same? Guarantee consistency with glossary. Monitor customer feedback to continuously improve translation quality.
- Separate knowledge bases per language
- Automatic translation engine integration
- Custom terminology glossary
- Brand consistency protection
- Translation quality feedback loop
Supported Languages & Capabilities
Full NLU, sentiment analysis, intent detection, and entity extraction capabilities run in every supported language. Turkish's complex agglutinative structure is specifically optimized — long word forms like compound suffixes are correctly parsed.
Türkçe
Agglutinative structure optimization, slang/idiom support, formal/informal tone detection.
English
Full NLU with idiom support, British/American variants, formal/casual detection.
Español
Latin American and Spain variants supported.
Italiano
Natural Italian conversation and formal address.
Русский
Cyrillic alphabet and Russian language structure support.
Language-Based Analytics
Monitor separate performance metrics for each language. Which language has more conversations opening, which has lower satisfaction scores, which topics are asked more frequently in which language — optimize your multi-language strategy with all this data.
Identify growth opportunities in your markets with language-based reports. If Spanish conversations are growing, your Latin American market is expanding — optimize your knowledge base and agent personality specifically for that market accordingly.
Supported languages
Language detection accuracy
Language switch latency