Faʻaliliuina mai Farani i le Arabic
FR AR
Faʻaiuga vave
API avanoa
Faʻaliliuina...
O le a faʻaalia iinei le faʻaliliuina...
Toe faʻaigoaina o faila
Fausia se teugatupe saoloto e faʻaliliuina ai faʻamaumauga, subtitles, ma isi.
Saini mo le saoloto FesoʻotaʻigaFaʻafefea ona Faʻaliliuina le French i le Arabic
1
Tuʻu lau tekinolosi
Taʻu poʻo le peʻe lau tekinolosi French i totonu o le pusa faʻatumu i luga. E mafai ona e faʻatumu e oo atu i le 10,000 faʻailoga, poʻo le faʻapipiʻiina o se faʻamaumauga.
2
kiliki Faʻaliliuina
Kiliki le ki o le Faʻaliliuina poʻo le faʻatali - o le faʻaliliuina otometi o le a amataina pe a e taofi le tipiina. O le AI e faʻavasega lau tusitusiga i ni nai sekone.
3
Faʻaigoa lau Faʻaliliuina
O lau faʻaliliuina o le Arabic o le a faʻaalia i le taimi lava e tasi. Kiliki le ki o le kope e kope ai i lau pusatusi, poʻo le fesoʻotaʻi atu e ala i la matou API.
Faʻamaufaʻailoga masani French
Kiliki i soo se faaupuga e faʻaliliuina ai i le taimi lava e tasi.
Faʻaliliuina vave
Toe maua faʻaliliuina mai le French i le Arabic i milisekone.
Tuʻuina atu o faʻamatalaga
Faʻapipiʻi le Word, PDF, SRT subtitles ma isi mo le faʻaliliuina o le batch.
Fesoasoani API
Integrate lenei faʻaliliuina o le paʻi i totonu o au talosaga ma la matou REST API.
French i le Arabic API
Faʻaopopo lenei paʻi faʻaliliuina i lau talosaga ma se valaau API faigofie.
Vaʻai i faʻamatalaga API Faʻatumu le 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": "fr", "target_language": "ar"}'E uiga i le French i le Arabic Faʻaliliuina
O le TranslateAPI e tuʻuina atu ai le vave ma le saʻo o le French i le Arabic faʻaliliuina e ala i le AI alualu i luma.
- Faʻaliliuina o le Tusi - Faʻaliliuina soʻo se tusitusiga e oo atu i le 10,000 faʻailoga i le taimi lava e tasi
- Faʻaliliuina o faʻamatalaga - Faʻapipiʻi faila Word, PDF, ma faʻamatalaga mo le faʻaliliuina
- API Integration - Faʻaopopo le faʻaliliuina mai o le French i le Arabic i au talosaga
- Faʻaliliuina - Faʻaliliuina o fuaiupu e tele i se talosaga tasi
Faʻaaoga mataupu:
- Faʻaliliuina faila mai le French i le Arabic mo pisinisi
- Faʻafanua 'upega tafaʻilagi ma talosaga mai le French i le Arabic
- Convert French subtitles to Arabic
- Fesoʻotaʻi ma tagata talaʻi Arabic
Faʻaliliuina
- Faʻavae
- Farani (
fr) - Atinaʻe
- Arabic (
ar)
Faʻamatalaga Faʻatonu
When a right-to-left script (Arabic, Hebrew, Persian, Urdu) sits on one side of the pair, TranslateAPI emits the output with the correct paragraph direction and the Unicode bidi marks needed so mixed-direction sentences render correctly in your editor or browser. Pasting the translation into a left-to-right document preserves direction automatically.
Yes — Arabic short-vowel marks (fatḥah, kasrah, ḍammah), Hebrew niqqud, and Persian/Urdu i'jam dots all round-trip cleanly. Source diacritics are preserved on input, and the model adds standard diacritization to the output where the target conventions call for it.
TranslateAPI keeps brand names, Latin acronyms (USB, PDF, GPS), email addresses, URLs, and product codes in their original Latin spelling rather than transliterating them into the target script — the convention used by most professional Arabic, Hebrew, and Persian publishers.
Latin (Western) digits are used by default for both Arabic-script and Hebrew output, matching the most common modern publishing style. If you need Eastern Arabic digits (٠-٩) or Hebrew gematria, post-process the translation — the underlying numbers are preserved either way.
Religious quotations carry their original orthography (including unusual ligatures and historical letterforms) through the round-trip. Translation is applied to surrounding prose, not to the quoted text itself when it is wrapped in quotation marks or block-quote tags.
Arabic, Hebrew, Persian, and Urdu all distinguish between formal/literary (MSA, Modern Hebrew literary, Persian rasmi, Urdu adabi) and conversational registers. The model defaults to the formal register, which is the right choice for documentation, marketing, and product UI; conversational tone usually needs a manual second pass.
TranslateAPI targets Modern Standard Arabic for output, which is intelligible across all Arabic dialects but is not specifically Egyptian, Levantine, Gulf, or Maghrebi. For dialect-specific localization (e.g. Egyptian Arabic UI strings), translate to MSA first then have a native speaker localize.
Arabic, Hebrew, and Urdu carry rich gender, number, and case marking that English does not. The model infers the most likely agreement from context; ambiguous source sentences (e.g. "the doctor" with no other clues) default to masculine. For UI strings about a known user, pass the gender hint via the API.
Yes — every translation is returned as UTF-8 with proper escaping. Right-to-left override marks (U+202E) and other layout-affecting control characters are stripped from the output unless they were in the source.
The model is trained on bilingual corpora in both directions, but accuracy is usually slightly better when going INTO English-adjacent intermediaries. For high-stakes content, run the pair both ways and review — the round-trip gap is a useful quality signal.
For RTL targets, paragraph-level chunks (200-800 characters) produce the best quality because the model preserves discourse-level direction better than sentence-by-sentence. Up to 10,000 characters per request on the web translator, 50,000 via the API.
Yes — docx files keep paragraph-direction attributes, SRT subtitles get correct line-direction marks, and PDF output preserves text-flow direction. Image OCR for Arabic/Hebrew/Persian/Urdu uses script-aware preprocessing so column-and-line order is detected correctly.