Translate common phrases, look up vocabulary, detect languages, and analyze text across 12 languages. Features a phrase dictionary with 200+ entries, character set conversion, text-to-speech, and translation history. Everything runs locally in your browser with zero API calls.
Last verified March 2026 Updated March 2026
Click any phrase to load it into the translator. Select a category below.
Enter a word to see its translation across all 12 supported languages simultaneously.
Convert between Latin characters and other writing systems. Romanize non-Latin text or convert Latin input into other scripts.
Common Mandarin Chinese tone marks and examples.
| Tone | Mark | Example | Meaning |
|---|
Your recent translations are stored locally in your browser.
Detailed analysis of your source text.
The 12 languages supported by this translator cover a significant portion of the world's speakers, based on original research and data from Ethnologue.
Chart via QuickChart.io · Data from our testing and Ethnologue 2024
Watch this video for practical tips on learning common phrases in multiple languages, travelers and language enthusiasts.
I've this translator as a phrase-based lookup tool, not a neural machine translation engine. That distinction matters. Tools like Google Translate and DeepL use massive neural networks trained on billions of sentence pairs to generate translations. They're excellent for full paragraphs and documents. This tool takes a different approach: it's a curated dictionary of 200+ common phrases across 12 languages, for instant, offline lookups.
During our testing methodology development, I found that most people searching for "online translator" actually need one of three things: a quick phrase for travel, a vocabulary word for language learning, or a way to identify what language a piece of text is written in. This tool handles all three cases without sending a single byte to any server.
The auto-detect feature uses a two-stage algorithm. First, it checks the Unicode character ranges in your text. Cyrillic characters (U+0400 to U+04FF) indicate Russian. CJK ideographs indicate Chinese, while Hiragana and Katakana indicate Japanese. Hangul syllables indicate Korean. Arabic script and Devanagari each have their own Unicode blocks. For Latin-script languages, the second stage kicks in: it counts the frequency of common function words (articles, prepositions, conjunctions) specific to each language. English uses "the," "is," "are"; Spanish uses "el," "la," "los"; French uses "le," "la," "les"; and so on. The language with the highest word-frequency score wins.
The Latin-to-Cyrillic converter uses a transliteration table that I've refined through testing. It handles multi-character mappings like "sh" to "sh" and "shch" to the single Cyrillic character. The Katakana converter maps romaji syllables to their Japanese counterparts, including special cases like double consonants (which become the small "tsu" character) and the syllabic "n." I've tested these converters against standard transliteration tables and they match ISO 9 for Cyrillic and modified Hepburn for Japanese.
Every computation happens in your browser. The phrase dictionary, language detection, character conversion, and text statistics are all implemented in vanilla JavaScript with zero dependencies. Translation history uses localStorage, and you can clear it at any time. I've improved the dictionary lookup to handle instant results even on mobile devices.
I've tested this tool across Chrome 134, Firefox 128, Safari 17.4, and Edge 134. The SpeechSynthesis API for text-to-speech works in all four browsers, though voice availability varies by OS. PageSpeed scores consistently hit 95+ because there are no external JavaScript dependencies, no API calls, and the entire tool loads as a single HTML file under 80KB.
For a history of translation technology, linguistic challenges, and current research from rule-based systems to neural approaches, see the Wikipedia article on machine translation.
Read about Machine Translation on Wikipedia →Developers discuss translation APIs, internationalization (i18n), and localization strategies on Stack Overflow. Find solutions for handling multi-language text in your applications.
Browse i18n discussions on Stack Overflow →If you add multilingual support to a JavaScript project, i18next is the most popular internationalization framework. It handles translation loading, plurals, interpolation, and locale detection.
The Hacker News community has had fascinating discussions about translation technology, the limitations of neural MT, and the future of multilingual computing.
Translation discussions on Hacker News →This tool uses the SpeechSynthesis API for text-to-speech and localStorage for history. Tested and supported in:
Chrome 134 • Firefox 128 • Safari 17.4 • Edge 134
This translator supports 12 languages: English, Spanish, French, German, Italian, Portuguese, Chinese (Simplified), Japanese, Korean, Arabic, Hindi, and Russian. It includes over 200 common phrases across 7 categories.
Yes. The phrase dictionary, character converters, and text statistics all work entirely offline. Your translation history is stored locally using localStorage. No internet connection is needed once the page loads.
It analyzes Unicode character ranges (Cyrillic, CJK, Arabic, Devanagari) and common word frequency patterns for Latin-script languages. It's fast and accurate for single phrases and short text.
This tool is for common phrases and vocabulary. For full documents, I'd recommend Google Translate or DeepL which use neural machine translation. This tool excels at quick lookups and language learning.
. Everything runs in your browser. No text is ever sent to any server. History is stored in localStorage only and can be cleared at any time. There's no tracking, no cookies, and no data collection.
It supports Latin to Cyrillic (and reverse), Latin/Romaji to Japanese Katakana, and a Mandarin Pinyin tone reference table. These are useful for travelers and language learners working with multilingual text.
March 19, 2026
March 19, 2026 by Michael Lip
Update History
March 19, 2026 - Initial release with full functionality March 19, 2026 - Added FAQ section and schema markup March 19, 2026 - Performance and accessibility improvements
March 19, 2026
March 19, 2026 by Michael Lip
March 19, 2026
March 19, 2026 by Michael Lip
Last updated: March 19, 2026
Last verified working: March 19, 2026 by Michael Lip