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Example: Arabic Text Toolkit: Normalize, Transliterate, Numbers

Normalise Arabic text, strip diacritics, transliterate Arabic to Latin, match names across scripts, and write amounts in Arabic words. Pure computation, no web calls.

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Arabic Text Toolkit: Normalize, Transliterate, Numbers
Arabic Text Toolkit: Normalize, Transliterate, Numbersfirebrick_zamia/arabic-text-toolkit
Kind
Input
Normalized
Latin
+2 fields
Text
Number
Boolean
List
Object

Input

Texts:مُحَمَّد بن عبد الله+1
Operations:detect+2
Remove diacritics:true
Remove tatweel:true
Unify alef forms:false
Unify alef maqsura:false
Unify taa marbuta:false
Digit style:keep
Chat style (Arabizi) transliteration:false
Currency for amounts:none

Output fields

Kind
Input
Normalized
Latin
Amount in words
Error

How it works

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The Arabic Text Toolkit: Normalize, Transliterate, Numbers Actor is ready to run with the inputs already set for "Example: Arabic Text Toolkit: Normalize, Transliterate, Numbers". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

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The Arabic Text Toolkit: Normalize, Transliterate, Numbers Actor will start running based on the input automatically. You can also change all the input fields, like texts, operations, and more, to match your specific use case.

Receive the "Example: Arabic Text Toolkit: Normalize, Transliterate, Numbers" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as kind, input, normalized, and more.

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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Example: Arabic Text Toolkit: Normalize, Transliterate, Numbers" task via API.

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