Free utilities

Language Detector

The language detector analyzes the entered text and shows the most likely languages with confidence percentages. It helps you quickly check content snippets, keywords, and copy before publishing or sorting.

Free Runs in your browser No sign-up required

Paste a text snippet to see the most likely language and confidence score. The detector is useful for sorting multilingual materials, checking translations, comments, search queries, and accidentally mixed content.

What does the confidence percentage mean?

The percentage shows how well the result matches the features the model associates with a specific language. It is not a guarantee of correctness, nor does it claim that exactly that percentage of the text is written in that language.

For example, a result of “Spanish — 72%, Portuguese — 24%” means Spanish looks most probable, but the text contains signs of a closely related language and needs verification. The shorter and more neutral the snippet, the more cautiously you should interpret the result.

Which texts are recognized best

For reliable detection, paste at least a few complete sentences. The text should contain common words and grammatical structures characteristic of the language.

The result generally becomes less reliable if the snippet is dominated by:

one or two short words;
names of people, brands, or products;
URLs, email addresses, numbers, and SKUs;
source code;
international terms;
transliteration;
words that are identical in several languages;
text in multiple languages at once.

The word menu, the name Anna, or the string SEO audit 2026 on their own give the language model almost no useful context.

Language, script, and country are not the same

Cyrillic does not automatically mean Russian, and Latin does not automatically mean English. Dozens of languages can use the same script. Moreover, a language detector generally cannot reliably determine the author’s country.

For example:

en denotes English;
en-US — English for the United States;
en-GB — English for Great Britain;
es-MX — Spanish for Mexico;
es-ES — Spanish for Spain.

These notations are called BCP 47 language tags. The detector may identify the base language, but that does not mean it has reliably determined the regional variant or the script.

How to use the result for your website

Language detection is useful as a preliminary check, but it does not replace proper site configuration.

Set the main language of an HTML document with the lang attribute, e.g. <html lang="en">.
Mark a fragment in another language separately: <span lang="es">...</span>.
Use hreflang to link language versions of pages; the text detector does not check it.
Avoid automatically changing lang or hreflang based solely on a short snippet.

A correct lang attribute helps browsers, screen readers, speech synthesizers, and translation tools process the text properly.

Useful scenarios

Checking a multilingual site

Paste the text of a suspicious block if the English version accidentally contains Spanish or another localization. To check an entire page, analyze the main content blocks separately, not the menu, SKUs, and code together.

Sorting incoming messages

The detector helps pre‑sort reviews, leads, and inquiries by language queues. When confidence is low, it’s better to route the message for manual review.

Translation quality control

You can spot if a large fragment of the source language slipped into the translated material. The tool does not assess translation quality, grammar, or fidelity to the original — it only identifies the probable language.

Cleaning up keyword lists

When working with multilingual keywords, the detector helps find queries in the wrong language. Single‑word keys and brand names still need manual checking.

How to improve accuracy

Use a coherent snippet of several sentences.
Remove URLs, numbers, code, and repeated boilerplate elements.
Split mixed text into language blocks and check them separately.
Compare not only the top result but also the next probable languages.
For close scores, verify with a native speaker or a translator.

Common interpretation mistakes

A high percentage does not mean the text is error‑free.
A detected language does not mean a specific country.
The detector does not confirm translation quality or completeness.
The language name does not replace a correct BCP 47 tag for HTML and integrations.
A single overall result for mixed text can hide a second language inside the document.

Frequently asked questions

How much text is needed?

There is no strict universal threshold. Several full sentences usually give more signals than a single word or heading. For short text, treat the result as provisional.

Can the tool detect two languages in one text?

The tool may show several probable options, but it does not necessarily mark the boundaries of each language. Mixed blocks are better split and checked individually.

Does the detector identify dialect or country?

Sometimes linguistic features allow a guess at the variant, but the main result is usually the language itself. Region cannot be reliably inferred from a short text.

Can the tool translate or check spelling?

No. Language identification, translation, and spell‑checking are separate tasks.

Related tools: Text Cleaner, Diff Checker, Duplicate Line Remover.

Official standards

BCP 47 / RFC 5646 — Tags for Identifying Languages: https://www.rfc-editor.org/rfc/rfc5646
WHATWG HTML — the lang attribute: https://html.spec.whatwg.org/multipage/dom.html#the-lang-and-xml:lang-attributes

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