Urdu i Arabic Hoʻololi

UR AR Nā hualoaʻa API i loaʻa

E hoʻohuli ana... E hōʻike ana ka unuhi i kēia wahi...

Hoʻopaʻa inoa e hoʻohuli i nā faila

E hana i kahi moʻokāki manuahi e hoʻololi i nā palapala, nā hua'ōlelo, a me nā mea hou aku.

E hoʻopaʻa inoa Hoʻokomo

Pehea e hoʻololi ai i Urdu i Arabic

1
E hoʻokomo i kāu hua'ōlelo

E kākau a i ʻole kāpae i kāu hua'ōlelo Urdu i loko o ka pākuʻi hoʻokomo ma luna. Hiki iā ʻoe ke komo i ka nui o 10,000 mau hua'ōlelo, a i ʻole e hoʻouka i kahi faila doc.

2
Kaomi e Hoʻohuli

E kaomi i ka pihi Hoʻololi a i ʻole e kali wale - hoʻomaka ka hoʻololi ʻana i ka mīkini ma hope o kou pau ʻana i ka kākau ʻana. Hoʻokō ʻo AI i kāu huaʻōlelo i nā milliseconds.

3
Hoʻololi i kāu hua'ōlelo

E hōʻike koke ana kāu hoʻololi Arabic. E kaomi i ka pihi kope e kope iā ia i kāu papa hoʻoili, a i ʻole e hoʻohui ma o kā mākou API.

Nā hua'ōlelo maʻamau Urdu

Kaomi i kekahi hua'ōlelo e hoʻohuli iā ia i ka manawa like.

Hoʻololi i ka hua'ōlelo

E kiʻi i nā hoʻololi mai Urdu i Arabic i nā milliseconds.

Ke kākoʻo o ka palapala

Hoʻouka i ka Word, PDF, SRT subtitles a me nā mea hou aʻe no ka hoʻololi pū ʻana.

Hoʻohana API

Hoʻohui i kēia ʻelua hoʻololi i kāu mau noi me kā mākou REST API.

Urdu i Arabic API

E hoʻohui i kēia ʻelua hoʻololi i kāu noi me kahi kelepona API maʻalahi.

Hōʻike i nā palapala API E kiʻi i ke kī API 
curl -X POST https://api.translateapi.ai/api/v1/translate/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "Hello", "source_language": "ur", "target_language": "ar"}'

E pili ana i ka hoʻololi Urdu i Arabic

TranslateAPI hāʻawi i ka wikiwiki a pololei hoʻi Urdu i Arabic ka hoʻololi ʻana i ka AI kiʻekiʻe.

  • Hoʻololi i ka hua'ōlelo - Hoʻololi i kekahi huaʻōlelo i ka 10,000 mau huaʻōlelo i ka manawa like
  • Hoʻololi i ka palapala - Hoʻouka i nā faila Word, PDF, a me nā hua'ōlelo no ka hoʻololi
  • Hoʻohui API - E hoʻohui i ka hoʻololi Urdu i Arabic i kāu mau noi
  • Hoʻololi - Hoʻololi i nā hua'ōlelo he nui i loko o kahi noi wale nō
Hoʻohana i nā hihia:
  • Hoʻololi i nā palapala Urdu i Arabic no ka hana
  • Hoʻololi i nā pūnaewele a me nā noi mai Urdu i Arabic
  • Hoʻololi i nā mea kākau o Urdu i Arabic
  • E kamaʻilio me nā kaikamahine Arabic
Pākuʻi
Kahua
Urdu (ur)
Hoʻohālike
Arabic (ar)

Nā nīnau i nīnau pinepine ʻia

When both source and target are right-to-left, the model translates without inserting any left-to-right segments unless the source had Latin content (brand names, URLs) — those islands keep their original direction and are bracketed with the appropriate bidi control codes.

No — Arabic, Hebrew, Persian, and Urdu use related script families but the languages themselves are unrelated. Urdu to Arabic is a full neural translation, not transliteration. The model is trained on bilingual corpora that pair the two languages directly where available, with English as a fallback bridge for rarer pair combinations.

Loanwords are translated to their native equivalent in Arabic (e.g. "kitab" → the Hebrew "sefer" when going Arabic → Hebrew) unless the source clearly used the loanword as a name or quotation. Brand names always stay phonetic.

Hebrew is unicameral and uses block letterforms; Arabic and Urdu are cursive with contextual shaping (initial/medial/final/isolated). The output uses the correct script with its native rendering rules — your editor or browser handles the shaping automatically as long as the font supports it.

Vowel marks tend to be lost in translation between RTL languages because each script encodes them differently and the target writing convention often omits them. If you need fully-vocalized output for Arabic, post-process with a vocalizer specific to that language.

Both RTL languages default to the literary / formal register (MSA for Arabic, Modern Israeli Hebrew literary, Persian rasmi, Urdu adabi). Conversational output between two RTL targets often needs a native review pass because each language has independent register conventions.

Output between two RTL languages uses the standard literary form of the target — dialect-to-dialect translation (e.g. Egyptian Arabic colloquial → spoken Persian Tehrani) is not directly supported. Translate to MSA / standard target first, then localize.

Quoted scripture (Qur'anic verses, Hebrew Bible, hadith) is preserved verbatim with original orthography when wrapped in quotation marks. Surrounding commentary is translated normally.

Calendar terms translate to the Arabic convention (Gregorian month names if Arabic commonly uses them, Hijri / Hebrew calendar terms where contextually appropriate). Numerals default to Latin digits in the output.

Up to 10,000 characters via the web translator and 50,000 via the API. Long-form documents in RTL pairs benefit from paragraph-sized chunks (300-1000 characters) because the model maintains discourse coherence within a chunk.

Yes — Latin segments inside an RTL document keep their left-to-right direction and Latin spelling. The model only translates the RTL prose; embedded URLs, emails, code blocks, and Latin brand names pass through unchanged.

Yes — upload an image or PDF of Urdu text and the OCR pipeline applies script-aware preprocessing so right-to-left column-and-line order is detected before translation to Arabic. Vowel marks usually do not survive OCR; expect un-vocalized output.

Nā koho hoʻololi

He nui aku mai Urdu

Hoʻololi i Urdu i nā'ōlelo'ē aʻe

E nānā i nā mea a pau
Hoʻololi i ka hua'ōlelo

Hoʻololi mai Arabic i Urdu

Arabic → Urdu
E nānā i nā ʻōlelo āpau i kākoʻo ʻia
Waiho i kēia pou
Mahalo no kou manaʻo!
/5 Hoʻokumu ʻia ma Hoʻohālike