AI Language Detector
Identify the language of any text with on-device AI — ranked candidates with confidence scores across 180+ languages. Private: text never leaves your browser.
How to Use
Paste any text — a sentence, a paragraph, a page — and the detector returns the most likely language plus ranked alternatives with confidence scores, computed entirely on your device.
Detecting a Language
- Paste or type the text into the input area. One full sentence is usually enough; a paragraph is ideal. Very short fragments (a single word or name) trigger a low-confidence warning because many languages share them.
- Click Detect Language. On Chrome 138+ the built-in on-device language model answers instantly. Other browsers use a statistical analyzer that is bundled with the page — either way, nothing is uploaded.
- Read the result. The top candidate shows the language name, its ISO code, and a confidence percentage. Up to four runner-up candidates appear as ranked bars — useful when a text mixes languages or sits between related ones (like Spanish and Catalan).
- Check the engine badge. The chip above the results names the engine that actually ran — Chrome's built-in AI or the trigram analyzer — and confirms inference happened on-device.
Getting Reliable Results
- Use at least 10 letters — the tool flags shorter input as unreliable. Detection accuracy climbs sharply with a full sentence.
- Prefer natural prose over lists of names, numbers, or code — those carry little language signal.
- Separate mixed-language text into single-language spans before detecting; a bilingual paragraph reports whichever language dominates, not both.
- Check the runner-ups when the top confidence is low — closely related languages (Norwegian/Danish, Indonesian/Malay) legitimately produce split scores.
About This Tool
How Language Identification Works
Language identification is one of the oldest tasks in computational linguistics, and modern systems solve it two ways. Neural detectors — like the built-in model Chrome now ships — embed character sequences into a compact representation learned from millions of labeled documents, then classify the whole span in one forward pass. They excel at short, noisy, or code-switched text. Statistical detectors like the trigram analyzer used as the fallback here take a simpler route: every language has a characteristic fingerprint of three-character sequences ("the", "ión", "sch", "です"), so scoring a sample against per-language trigram frequency tables and ranking the distances identifies the closest match — a method that has remained competitive since the 1990s for prose of a sentence or longer.
Ranked Candidates, Not Just an Answer
A single "this is French" verdict hides the interesting part: language detection is probabilistic. Closely related languages share vocabularies and scripts, so honest detectors report a distribution. This tool surfaces the top five candidates with relative scores — a 90% Spanish / 8% Catalan split tells you something different than 55% / 42%, even though both nominally answer "Spanish".
Coverage
The statistical fallback recognizes roughly 180 languages across Latin, Cyrillic, Arabic, Hebrew, Devanagari, CJK, and other scripts — from English and Spanish to Welsh, Swahili, and Vietnamese. Chrome's built-in model covers the highest-traffic world languages with neural accuracy. Detection is orthography-based, so it identifies the written language (Serbian Cyrillic and Croatian Latin are correctly told apart) but cannot judge what language a speaker intended.
Why Use This Tool
When You Need Language Detection
- Routing content — deciding which translator, spell-checker, or reading tool to send a document to. Pair the result with the AI Translator.
- Data cleaning — multilingual datasets and scraped text often mix languages; identify the dominant one before processing.
- Moderation triage — flag which language a message is in before applying language-specific rules or sending it to a reviewer.
- Curiosity and research — identifying an unfamiliar inscription, a snippet in a document, or a phrase pasted from somewhere unknown.
- Accessibility pipelines — correct
langattributes make screen readers pick the right pronunciation rules.
Why On-Device Detection Matters
Most online language detectors are API calls — your text crosses the network to a server that may log it. Here, detection happens inside your browser tab: Chrome's built-in model or the bundled trigram analyzer, both fully local. That makes the tool safe for unreleased documents, private messages, medical or legal text, and anything else that should not leave your machine. It also works offline once the page has loaded.
Limits to Know
- Very short text is genuinely ambiguous — "die" is English, German, and Dutch; no detector can resolve single words reliably.
- Transliteration confuses detectors — Japanese written in Latin letters (romaji) scores as Latin-script languages, not Japanese.
- Related languages split the vote — Malay vs Indonesian or Serbian vs Bosnian may rank close; that is honest uncertainty, not a bug.
- Dialects resolve to the parent language — Swiss German detects as German; Cantonese as Chinese.
Related Tools
Continue with AI Translator to convert detected text, AI Sentiment Analyzer for tone scoring, AI Entity Extractor to pull out names and places, or the heuristic Language Detector for a script-based alternative.