Ho fetolela Arabic ho Persian

AR FA Liphetho tse potlakileng API e fumanehang

Ho fetolela... Ho fetoleloa ho tla hlaha mona...

Ngola ho fetolela lifaele

Theha ak'haonte ea mahala ho fetolela litokomane, li-subtitles, le tse ling.

Ikopanye le rona Ho kena

Ho fetolela Arabic ho Persian joang

1
Ngola mongolo oa hau

Tobetsa kapa tobetsa mongolo oa hau oa Arabic ka lebokoseng la ho kenya ka holimo. U ka kenya ho fihlela ho li-characters tse 10,000, kapa u romelle faele ea kopo.

2
Tobetsa ho fetolela

Tobetsa konopo ea Ho fetolela kapa o tlama feela - ho fetolela habonolo ho qala ka mor'a hore o se ke oa ngola. AI e sebetsana le mongolo oa hau ka li-milliseconds.

3
Kopa ho fetolela ha hao

The Persian translation appears instantly. Click the copy button to copy it to your clipboard, or integrate via our API.

Litlhaku tse tloaelehileng tsa Arabic

Tobetsa lentsoe leha e le lefe ho e fetolela kapele.

Ho fetolela kapele

Fumana liphetoho ho Arabic ho Persian ka li-milliseconds.

Tšehetso ea litokomane

Tlosa lihlooho tsa Word, PDF, SRT le tse ling bakeng sa ho fetoleloa ha batch.

Ho fihlella API

Integration ena e fetoletsoeng pakeng tsa li-apps tsa hau ka REST API ea rona.

Arabic ho Persian API

E-na le moo, eketsa sena ho li-application tsa hau ka ho ngola API e bonolo.

Bona litokomane tsa API Fumana konopo 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": "ar", "target_language": "fa"}'

Ka Arabic ho Persian

TranslateAPI e fana ka ho fetolela ho potlakileng le ho nepahala ho Arabic ho Persian e matlafatsoang ke AI e tsoetseng pele. Tšebeletso ea rona e tšehetsa:

  • Ho fetolela mongolo - Tlosa mongolo leha e le ofe ho fihlela ho li-characters tse 10,000 kapele
  • Ho fetolela litokomane - Tlosa faele ea Word, PDF, le ea mongolo bakeng sa ho fetolela
  • Ho kenyelletsoa ha API - Ho eketsa ho fetoleloa ho Arabic ho Persian ho li-apps tsa hau
  • Ho fetolela - Ho fetolela litokomane tse ngata ka kopo e le 'ngoe
Kakaretso:
  • Ho fetolela litokomane tsa Arabic ho Persian bakeng sa khoebo
  • Sebelisa sebaka sa marang-rang le li-apps ho tloha Arabic ho ea Persian
  • Ho fetola lihlooho tsa Arabic ho Persian
  • Buisana le Persian ba buang
Ho fetolela
Mofuta
Arabic (ar)
Target
Persian (fa)

Lipotso tse botsoang khafetsa

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. Arabic to Persian 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 Persian (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 Persian, 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 Persian convention (Gregorian month names if Persian 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 Arabic text and the OCR pipeline applies script-aware preprocessing so right-to-left column-and-line order is detected before translation to Persian. Vowel marks usually do not survive OCR; expect un-vocalized output.

Likhetho tsa ho fetolela

Ho feta ho Arabic

Ngola Arabic ka lipuo tse ling

Bona lipheo tsohle
Ho fetolela ka morao

Ho fetolela ho tloha ho Persian ho ea ho Arabic

Persian → Arabic
Tseba lipuo tsohle tse tšehelitsoeng
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