Persian to Arabic Translation
FA AR
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API available
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Sign Up Free LoginHow to Translate Persian to Arabic
1
Enter Your Text
Type or paste your Persian text into the input box above. You can enter up to 10,000 characters, or upload a document file.
2
Click Translate
Click the Translate button or simply wait - auto-translation kicks in after you stop typing. The AI processes your text in milliseconds.
3
Copy Your Translation
Your Arabic translation appears instantly. Click the copy button to copy it to your clipboard, or integrate via our API.
Common Persian Phrases
Click any phrase to translate it instantly.
Instant Translation
Get Persian to Arabic translations in milliseconds.
Document Support
Upload Word, PDF, SRT subtitles and more for batch translation.
API Access
Integrate this translation pair into your apps with our REST API.
Persian to Arabic API
Add this translation pair to your application with a simple API call.
View API Docs Get 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": "fa", "target_language": "ar"}'About Persian to Arabic Translation
TranslateAPI provides fast and accurate Persian to Arabic translation powered by advanced AI. Our service supports:
- Text Translation - Translate any text up to 10,000 characters instantly
- Document Translation - Upload Word, PDF, and text files for translation
- API Integration - Add Persian to Arabic translation to your apps
- Batch Translation - Translate multiple texts in a single request
Use Cases:
- Translate Persian documents to Arabic for business
- Localize websites and apps from Persian to Arabic
- Convert Persian subtitles to Arabic
- Communicate with Arabic speakers
Translation Pair
- Source
- Persian (
fa) - Target
- Arabic (
ar)
Frequently Asked Questions
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. Persian 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 Persian 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.