English-First, But Not English-Only

AI models are trained primarily on English text, which means English typically gets the best results. But most major models now handle dozens of languages with varying quality.

Language Tiers

Tier 1: Near-English Quality

Spanish, French, German, Portuguese, Italian, Dutch, Japanese, Chinese, Korean

These languages have enough training data that AI handles them well for most tasks. Writing, translation, analysis, and conversation all work reliably.

Tier 2: Good but Imperfect

Russian, Arabic, Hindi, Turkish, Polish, Czech, Swedish, Norwegian, Finnish, Danish

AI handles these languages well for common tasks but may struggle with specialized vocabulary, formal registers, or cultural nuances.

Tier 3: Functional but Limited

Less widely spoken languages with smaller digital footprints. AI can work with them but may make more errors, miss idioms, or produce unnatural phrasing.

What Works Well Across Languages

Translation

Modern AI models are excellent translators for most language pairs. Often better than traditional translation tools for natural, contextual translations.

Writing assistance

Grammar correction, style improvement, and text expansion work well in major languages.

Summarization

Summarizing documents in their original language works reliably for Tier 1 and 2 languages.

Cross-language tasks

Ask a question in one language and request the answer in another. AI handles this naturally:

"Read this French article and summarize it in English."

What to Watch For

Formality levels

Many languages have formal and informal registers (vous/tu, Sie/du, usted/tu). AI may default to the wrong level for your context.

Cultural context

Idioms, humor, and cultural references may not translate well or may be misinterpreted.

Technical vocabulary

Specialized terms in non-English languages may be less reliable than common vocabulary.

Script-specific issues

Languages with non-Latin scripts (Arabic, Chinese, Japanese, Korean, Hindi) are well-supported by major models but may have more formatting and display issues.

Tips for Multilingual Users

• Specify the language explicitly if the model defaults to English
• Mention the formality level you want
• For important translations, cross-reference with a second model
• Use models from providers with strong multilingual training (GPT-4o and Gemini tend to perform well across languages)

Octofy supports conversations in any language that the underlying models support. The interface is in English, but your conversations can be in whatever language you need.