Arabic ki te Pārihia Whakamāoritanga

AR FA Ko nga hua tere Kei te wātea te API

Ka whakamāoritia... Ka puta tēnei te whakamāoritanga...

Ka whakaingoatia te whakamāoritanga.

Ka waihanga i tētahi kāwanatanga wātea hei whakamāori i ngā tuhinga, ngā tuhipānui, me ētahi atu.

Ka tāuru i te wātea Ka tāurutia te tāurunga

He pēhea te whakawhiti i te Arabic ki te Persian

1
Ka tāuru i ōna kupu

Ka tuhituhi, ka tāpoi rānei i tōna kupu Arabic ki roto i te pātengi tāuru i runga ake nei. Ka taea e koe te tāuru tae atu ki te 10,000 ngā tohu, te tāurunga rānei i tētahi tuhinga.

2
Ka tirohia te whakawhitinga

Ka kōwhiria te pihi Whakamāori, e tūmanako ana rānei - ka tīmata te whakamāori aunoa i muri i ta koe i te whakamutu i te tuhituhi. Ka tātaritia e te AI tōna kupu i roto i ngā milliseconds.

3
Ka tārua ōna whakamāoritanga

Ka puta haere tonu tōna whakamāoritanga Persian. Ka pā ki te ctrl tārua hei tārua ki tōna papatuhi, hei whakauru rānei mā tātau API.

Ko ngā kīanga pūnoa Arabic

Tirohia tētahi rerenga kia whakamāoritia ai i te wā kotahi.

Ka whakamāoritia te whakawhitinga

Ki te whiwhi Arabic ki ngā whakamāoritanga Persian i roto i ngā millisekona.

Tūtohu tautoko

Whakataki i te Wā, PDF, SRT subtitle me ētahi atu mō te whakamāoritanga rōpū.

Ka āhei ki te API

Ka whakaurua tēnei takirua whakamāoritanga ki ōna taupānga me tātau REST API.

Arabic ki te API Persian

E tāpiri ana tēnei takirua whakamāoritanga ki tōna taupānga me tētahi whakarongo API māmā.

Tirohia ngā tuhinga API Kitenga te 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": "ar", "target_language": "fa"}'

Mo te whakamāoritanga o Arabic ki Persian

E whakarato ana te TranslateAPI i te whakamāoritanga tere me te tika o Arabic ki te Persian e whakahaua ana e te AI arā atu anō. E tautoko ana tātau ratonga:

  • Ka whakamāoritia te kupu - Ka whakamāoritia ētahi kupu tae noa ki te 10,000 ngā pūāhua
  • Ka whakamāoritia te tuhinga - Whakapupuri i te Wā, PDF, me ngā faila kupu mō te whakamāoritanga
  • Ko te whakaurunga API - Tāpiri i te whakamāoritanga Arabic ki te Persian ki ōna taupānga
  • Ka whakamāoritia - Ka whakamāori i ngā kupu maha i roto i tētahi tono kotahi
Ka whakamahia ngā take:
  • Ka whakamāoritia ngā tuhinga Arabic ki te Persian mō te umanga
  • Ka whakawātea i ngā pūnaewele me ngā taupānga mai i te Arabic ki te Persian
  • Ka tahuri ngā tuhipoka Arabic ki te Persian
  • E whakawhitiwhiti ana ki ngā kaikōrero Persian
He takirua whakamāoritanga
Mātāmua
Arabic (ar)
Tūtohu
Pārihia (fa)

E pā ana ngā pātai

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.

Ko ētahi atu kōwhiringa whakamāori

He nui ake mai i te Arabic

Ka whakamāoritia te Arabic ki ētahi atu reo

Tirohia ngā ūnga katoa
Whakamāoritanga whakarerekē

Ka whakawhitinga mai i te Persian ki te Arabic

Pārihia → Arabic
Ka kitea ngā reo katoa e tautokona ana
E whakawātea ana i tēnei pou
Mahalo mo ōna arotakenga!
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