Tools

Arabic transliteration tool

Convert Arabic company names to Latin script for cross-script matching and deduplication. Supports UAE, Saudi Arabia, Egypt, Morocco, and more.

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How it works

Arabic text passes through the Ambect transliteration stage, which applies country-aware romanization rules before the rest of the normalization pipeline runs — stripping legal suffixes (like ش.م.م, ش.م.ع, LLC), lowercasing, removing stop words, and sorting tokens.

The canonical output is identical whether you submit the Arabic or Latin version of the same company name, enabling reliable deduplication across multilingual business registers.

Worked examples

Input (Arabic)CountryCanonical
أرامكو السعوديةSaudi Arabiaaramco alsaudiyya
طيران الإماراتUAEtayaran alimarat
البنك الأهلي المصريEgyptalbank alahli almasri
اتصالاتUAEittisalat

* Canonical output is approximate — actual API output may vary based on pipeline version.

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Frequently asked questions

What is Arabic transliteration?

Arabic transliteration converts Arabic script characters to their phonetic equivalents in the Latin alphabet. Because Arabic has sounds not present in English, transliteration schemes vary — this tool uses the conventions appropriate to the selected country.

Why do Arabic company names appear differently in Latin script?

Different organizations and countries apply different transliteration standards (e.g. ALA-LC, ISO 233, BGN/PCGN). The same Arabic name can appear as "Mohammad", "Mohammed", or "Muhammad". The Ambect pipeline normalizes these variants to a single canonical form.

Does this tool work for all Arabic dialects?

The tool handles Modern Standard Arabic and the common written forms used in official company names across the MENA region. Selecting the correct country improves accuracy for regional naming conventions.

How do I match Arabic and Latin versions of the same company?

Pass both the Arabic and Latin forms through the Ambect API with the same country code. Both will normalize to the same canonical string, enabling reliable deduplication even when one record uses Arabic script and another uses Latin.

Need to match Arabic and Latin company records at scale? The Ambect API normalizes both to the same canonical form in under 5 ms.

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