ChiArabu to Persian Translation
AR FA
Instant zviratidzo
API iripo
Kushandura...
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Sign Up Free KupindaMaitiro ekushandura Arabic kuenda ku Persian
1
Sarudza Tenzi wako
Type or paste your Arabic text into the input box above. You can enter up to 10,000 characters, or upload a document file.
2
Tinya shandura
Tinya bhatani reshandura kana kungomirira - otomatiki kushandurwa kunotanga mushure mekunge wasiya kunyora. AI inoongorora tenzi wako mumasekondi mashoma.
3
Kopa yako kushandurwa
Yako Persian kushandurwa anoonekwa panguva imwe chete. Tinya kopya bhatani rekukodha kuti kopa kuti clipboard yako, kana kubatanidza kuburikidza yedu API.
Zvinyorwa zve Arabic zvinozivikanwa
Tinya chero peji kuti rishandurwe.
Instant Kushandura
Get Arabic to Persian translations in milliseconds.
Kutsigira kweDokumenti
Upload Word, PDF, SRT subtitles uye zvimwe zvebasa rekushandura.
Kupinda kweAPI
Integrate izvi kushandurwa pamwechete muapps yako nedu REST API.
Arabic to Persian API
Add this translation pair to your application with a simple API call.
View API Docs Kuwana 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"}'About Arabic to Persian Translation
TranslateAPI inoita kuti zvive nyore uye nyore kushandura kubva ku Arabic kuenda ku Persian nekushandiswa kwetekinoroji yazvino yeAI.
- Kushandurwa kwemashoko - Translate any text up to 10,000 characters instantly
- Kushandurwa kweDokumenti - Upload Word, PDF, uye text files for translation
- API Kubatanidzwa - Add Arabic to Persian translation to your apps
- Batch Kushandura - Kushandura akawanda mavhesi muimwe chete mibvunzo
Kushandisa Cases:
- Translate Arabic documents to Persian for business
- Kushandura mawebhusaiti uye maapplication kubva ku Arabic kuenda ku Persian
- Convert Arabic subtitles to Persian
- Kutaura ne Persian vanotaura
Kushandura Pair
- Kutanga
- ChiArabu (
ar) - Target
- Persian (
fa)
Mibvunzo Inobvunzwa Kazhinji
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.