Beyond word-for-word into meaning-for-meaning
AI translations reviewed by native-speaker linguists. Cultural nuance, idiomatic accuracy, and domain terminology — validated before your users see it.
What reviewers see
We're excited to announce our new analytics dashboard. It's a game-changer for data-driven teams who need real-time insights without the complexity of traditional BI tools.
新しい分析ダッシュボードの発表を嬉しく思います。従来のBIツールの複雑さなしにリアルタイムの洞察が必要なデータドリブンなチームにとって、ゲームチェンジャーです。
"嬉しく思います" is overly formal for a product announcement. Japanese product announcements typically use "お知らせします" or "リリースをお知らせします" — direct but polite, not emotional. "嬉しく" implies personal feeling which is unusual for corporate comms in Japanese.
"リアルタイムの洞察" is a direct calque of "real-time insights." Japanese readers prefer "リアルタイムで確認できるデータ" or "リアルタイムの可視化." The abstract "insights" concept doesn't translate well; use concrete outcomes.
"ゲームチェンジャー" is understood in tech circles but feels like an English loanword overload. Consider "業務を変える" (transforms workflow) or "画期的なツール" (groundbreaking tool) for broader audience reach.
Built for localization teams
Product localization
AI-translated UI strings, help docs, and product content reviewed by native speakers for cultural fit and accuracy.
Marketing translations
Verify AI-translated campaigns preserve brand voice, emotional resonance, and cultural appropriateness across markets.
Technical documentation
Ensure AI-translated API docs, manuals, and technical content maintain terminological precision across languages.
What machine translation misses
AI translation engines produce grammatically correct text that still feels wrong to native speakers. Human reviewers fix the layers of meaning that word-for-word accuracy cannot capture.
Cultural nuance
References, humor, formality levels, and sensitive topics land differently across cultures. Reviewers adjust phrasing so content resonates rather than confuses or offends the target audience.
Register
Formal, casual, technical, or promotional tone must match the source intent. AI often picks a neutral register that flattens a punchy headline or over-formalises a friendly product update.
Context
The same word changes meaning depending on surrounding text, product area, or audience. Reviewers read the full passage — not just the sentence — so ambiguous terms resolve correctly.
Idioms
Expressions like "game-changer" or "break a leg" rarely translate literally. Reviewers replace them with equivalent idioms in the target language — or rephrase when no equivalent exists.
Common pairs, native reviewers
Every pair is reviewed by a linguist who is a native speaker of the target language and fluent in the source. Here are the most frequently requested pairs.
English ↔ Chinese
Simplified and Traditional Chinese reviewed for character accuracy, measure-word choice, and formal register in business and product content.
English ↔ Spanish
European and Latin American Spanish variants handled with correct regional vocabulary, verb forms, and formality conventions.
English ↔ French
French and Canadian French reviewed for accentuation, gendered noun agreement, and the formal "vous" versus informal "tu" distinction.
English ↔ German
Compound nouns, case endings, and the formal "Sie" register validated for technical documentation and marketing alike.
English ↔ Japanese
Keigo politeness levels, katakana loanword density, and corporate-communications tone checked by native JA linguists.
English ↔ Arabic
RTL layout considerations, diglossia between Modern Standard Arabic and dialects, and culturally sensitive phrasing reviewed.
Four dimensions, scored independently
Each translation is assessed across four dimensions so you can see exactly where quality holds and where it breaks down — not just a single pass or fail.
Accuracy
Does the target convey the same meaning as the source? Reviewers flag omissions, additions, and mistranslations that change the message.
Fluency
Does it read like it was written by a native speaker? Grammar, word order, and natural phrasing are checked against target-language conventions.
Terminology consistency
Are key terms, product names, and domain vocabulary translated the same way throughout? Reviewers enforce glossary adherence across the full text.
Cultural appropriateness
Will the target audience find it natural, respectful, and on-brand? Reviewers flag tone-deaf phrasing, insensitive examples, and culturally loaded language.
The translator got the words right. We make sure the meaning survives.
Native reviewers catch the things a CAT tool won't — calques that read like Google Translate, tone that lands wrong with a Tokyo buyer, idioms that don't port to a São Paulo audience. Cultural adaptation, not just character swaps.