README.md

metadata

title: arabnamer demo
emoji: 🕌
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.7.1
app_file: app.py
pinned: false
license: mit
tags:
  - arabic
  - transliteration
  - name-matching
  - arabic-nlp
  - mena
  - kyc
  - entity-resolution
short_description: Offline Arabic name transliteration & fuzzy similarity.

arabnamer — live demo

This Space runs the arabnamer Python library in an interactive UI.

Three tabs

1. Transliterate — English name → Arabic name, with selectable engine (XGBoost model / rule-based / hybrid) and optional reference scoring.
2. Similarity — Arabic ↔ Arabic lenient fuzzy matching, insensitive to tashkeel, hamza variants, taa-marbuta, and alef-maksura.
3. Batch — paste a list of English names, get a table + CSV output.

Offline by design

No external API calls, no LLM, names never leave this Space container. The entire pipeline runs on the 38 MB bundled XGBoost model + deterministic rule-based engine.

Install locally

pip install arabnamer

Then:

from arabnamer import translit, similarity
print(translit("Mohammed Ali").arabic)        # → 'محمد علي'
print(similarity("أحمد حسن", "احمد حسن"))     # → (True, 100)

Links

• 🔗 GitHub repo
• 🔗 PyPI package
• 🔗 Model (this Space loads it transitively via the library)
• 🔗 Training dataset

License

• Code (this app): MIT
• Bundled model weights + training dictionary: CC-BY-4.0