Free AI translator

Any other pair among the 23 supported languages works in the translator at the top of this page.

A translator that reads the whole sentence first

Most of the time you don't need a certified translation — you need to read an email from a supplier, reply to a guest in their language, or understand a paragraph someone pasted into a chat. This tool is built for exactly that: paste text, pick a target language, and get a clean version back in the right pane in a few seconds.

What separates a useful translation from a clumsy one is context. The same word can mean different things depending on the sentence around it — "charge" is a fee, an accusation, or a battery level, and the only way to pick the right one is to look at the rest of the line. The dual-pane layout keeps the original next to the result so you can compare them side by side, and the swap button lets you translate the result back to sanity-check that the meaning survived the round trip.

How the translation is actually produced

When you press Translate, your text is sent over HTTPS to the TextSight API, where a large language model reads the full passage and rewrites it in the language you chose. That matters more than it sounds. Older phrase-based systems swapped words and short chunks one at a time, which is why they so often produced grammatical-looking nonsense. A model that reads the whole input can carry tense, gender agreement, and the subject of a sentence across the gap between languages.

Because it works on meaning rather than a fixed dictionary, it handles things a lookup never could: idioms get an equivalent expression instead of a literal one, and word order is rearranged to fit the target grammar — adjectives flip after the noun in Spanish, the verb migrates to the end in German. It isn't pulling from a stored bank of pre-translated sentences, so two slightly different inputs can produce two different phrasings, both correct. The trade-off is that the result is a confident interpretation, not a guaranteed match, which is why the limits below are worth knowing.

The moments a quick translation actually helps

Translation used to be a once-a-trip event. Now it's something people do a dozen times a day without thinking about it — usually to get the gist of something fast, then move on:

• Support and sales teams answering a customer who wrote in another language, without keeping the whole thread waiting on a human translator.
• Students and researchers reading a source, abstract, or forum reply that only exists in a language they don't speak fluently.
• Travelers and hosts drafting a message to a landlord, driver, or guest and checking it reads naturally before they hit send.
• Freelancers and small businesses understanding a brief, invoice, or contract clause from an overseas client well enough to ask the right follow-up question.
• Anyone learning a language who wants to see how a phrase is normally said, then swap the panes to translate it back and check they understood it.

What it handles well — and where to slow down

All 23 supported languages are open on every tier, from Spanish, French and German through to Hindi, Marathi, Tamil, Bengali, Japanese and Arabic. It's at its best with everyday prose: messages, emails, articles, product descriptions, and conversational text where the goal is to understand and be understood.

It's weaker exactly where stakes are highest. Legal, medical, and financial wording carries meaning in single words, and a near-miss there is a real problem — those documents need a qualified human translator, not a draft. Highly local slang, brand-specific phrasing, and poetry tend to lose their edges. And the further a language pair sits from English, the more a sentence can drift; rarer languages have less training data behind them. The honest rule is simple: trust it to tell you what a passage means, but have a fluent speaker review anything you're going to publish, sign, or send somewhere it can't be taken back.

How to check a translation you can't read back

The hard part of using any translator is that you often can't judge the output — that's why you needed it. A few habits catch most of the mistakes before they cost you anything.

• Round-trip it. Hit the swap button to translate the result back into your own language. If it comes home meaning roughly the same thing, you're on safe ground; if a key word changed, dig into that line.
• Set the right source language. If the source dropdown is wrong, the model is translating from the wrong starting point — the single most common cause of garbled output.
• Translate clean, complete sentences. Fragments, heavy abbreviations, and typos give the model less context to work from, and the result reflects that. Fix obvious errors in the original first.
• Watch names, numbers, and units. Proper nouns, dates, currencies, and measurements should carry through unchanged — if one shifts, correct it by hand.
• Match the register to the reader. Formal and casual phrasing differ sharply in many languages; a translation that's technically right can still land as too stiff or too familiar, so read the result with your specific reader in mind and adjust the source sentence if it lands wrong.