Chiarabu to Chipereshiya Translation
AR FA
Masiku ano zotsatira
API yopezeka
Kusintha...
Kutanthauzira kudzawonekera pano...
Kulembetsa kuti musinthe mafayilo
Pangani akaunti yaulere kuti musinthe mafayilo, ma subtitle, ndi zina zambiri.
Kulembetsa kwaulere KulowaMomwe mungasinthire Arabic kuti Persian
1
Ikani mawu anu
Pitani kapena kuika wanu Arabic malemba mu kulowa bokosi pamwambapa. Mukhoza kulowa mpaka 10,000 zilembo, kapena kukopera fayilo ya deta.
2
Dinani Sinthani
Dinani batani la Translate kapena kungoyembekezera - auto-kutanthauzira amayamba pamene inu kuletsa kulemba.The AI amachita malemba anu mu mphindi zochepa.
3
Koperani kutanthauzira kwanu
Kutanthauzira kwanu kwa Persian kumawonekera mwamsanga. Dinani batani la kopanira kuti mukope ku clipboard yanu, kapena kuphatikizira kudzera pa API yathu.
Mafunso Otchuka a Arabic
Dinani chilichonse tanthauzo kutanthauzira izo mwamsanga.
Kutanthauzira kwa Instant
Get Arabic to Persian translations in milliseconds.
Kuthandizira Makalata
Upload Word, PDF, SRT subtitles ndi zambiri kwa kutanthauzira batch.
Kupeza kwa API
Kuphatikizira izi kutanthauzira awiri m'mafoni anu ndi REST API wathu.
Arabic to Persian API
Add this translation pair to your application with a simple API call.
Pangani API Docs Pezani API Keycurl -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"}'Kuchokera ku Arabic kupita ku Persian
TranslateAPI imapereka kutanthauzira kosavuta komanso kosavuta kwa Arabic kupita ku Persian mothandizidwa ndi AI yamakono.
- Kusintha kwa malemba - Translate any text mpaka 10,000 characters instantly
- Kutanthauzira kwa Document - Upload Word, PDF, ndi mafayilo a malemba kwa kutanthauzira
- API integration - Add Arabic to Persian translation to your apps
- Batch Kutanthauzira - Kutanthauzira malemba ambiri mu lamulo limodzi
Kugwiritsa ntchito Cases:
- Translator Arabic documents to Persian for business
- Lowani mawebusayiti ndi mapulogalamu kuchokera ku Arabic kupita ku Persian
- Kusintha ma subtitle a Arabic kupita ku Persian
- Kulankhulana ndi Persian olankhula
Translator Pair
- Kuchokera
- Chiarabu (
ar) - Zolinga
- Chipereshiya (
fa)
Funso Lofunsidwa Kawirikawiri
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.