What sets modern AI translation apart
Older systems (think pre-2020 Google Translate) translated word-by-word with statistical patterns. Modern LLM-based translators understand entire paragraphs, idioms and tone — they translate meaning, not vocabulary.
That means "break a leg" becomes "good luck" in Hindi, not a confusing literal injury.
Step-by-step
- 1Open the Translator.
- 2Optionally start with "to: <language>" on the first line.
- 3Paste the text to translate.
- 4Click Translate.
- 5Copy the result, or re-translate with extra context if a phrase feels off.
Languages we handle well
All major global languages plus deep coverage for Indic languages: Hindi, Marathi, Bengali, Tamil, Telugu, Kannada, Malayalam, Gujarati, Punjabi, Urdu and more.
Tips for cleaner translations
- Give the model context — "This is a marketing tagline" or "This is a legal clause".
- Pre-format dates and numbers in the target locale before translating.
- Translate paragraph by paragraph for long documents — easier to spot drift.
- For brand-critical copy, always have a native speaker review.
When AI translation isn't enough
- Legal contracts — get a certified translation.
- Medical instructions — patient safety > convenience.
- Poetry and song lyrics — rhythm and rhyme don't survive automated translation.
- Brand voice — taglines often need transcreation, not translation.
AI translation vs. traditional MT
Traditional machine translation (the Google Translate of 2010) used statistical alignment of word pairs across parallel corpora. The output was usable for getting the gist but felt mechanical — wrong register, wrong idioms, awkward agreement. Modern AI translation, powered by large language models, treats translation as a generation task with full context. It picks the right idiom for the target language, preserves tone (formal vs. casual), keeps technical terms consistent across a long document, and can adapt for an audience ("translate for a 12-year-old reader"). The cost is that LLMs occasionally hallucinate plausible-but-wrong content, especially on names, dates and figures — always verify those.
Choosing between translate, transliterate and rewrite
- Translate: change the language but keep the meaning (English "good morning" → Hindi "शुभ प्रभात").
- Transliterate: keep the language but change the script (Hindi "शुभ प्रभात" → Latin "shubh prabhat"). Use when readers don't read the original script.
- Rewrite / paraphrase: keep the language and meaning but change the style (formal → casual, long → short). Use for tone or length changes within the same language.
- Many real tasks combine two — translate then rewrite for tone, or translate then transliterate so a non-script-reader can pronounce the result.
Language-pair quality notes
English ↔ major European languages (Spanish, French, German, Italian, Portuguese) is near-human quality. English ↔ major Indian languages (Hindi, Tamil, Telugu, Bengali, Marathi) is excellent for general prose and merely good for technical or legal text. English ↔ East Asian (Chinese, Japanese, Korean) works well for everyday and business content but struggles with poetry, honorific levels and culturally-loaded humour. Low-resource languages (regional dialects, indigenous languages) vary widely — always have a fluent speaker review before publishing.
FAQ
- Is the AI Translator free?
- Yes — translate as much text as you want for free.
- How many languages are supported?
- 100+ including all major Indic, European, East Asian, Middle Eastern and African languages.
- Can I translate documents?
- Yes — extract text first with our Text Extractor or PDF to Text, then translate the result.
- Is my text stored?
- No — input is processed and discarded.
- How does it compare to Google Translate in 2026?
- Comparable accuracy on common pairs; we shine on Indic languages and on longer paragraphs that need context.
- Can I translate offline?
- No — the model runs server-side. For offline translation, install an on-device translation app.