nepali-citizen-transliterator 1.0.2

Convert Romanized Nepali names/addresses to Devanagari script

Nepali Citizen Transliterator

A Python library for converting Romanized Nepali names and addresses to Devanagari script. Made specifically for processing Nepali citizen data like names, addresses, and document information.

What This Package Actually Does

This is version 1.0 - a basic starting point. It can:

1. Convert English/Roman Nepali names to Devanagari
   Example: "Ram Bahadur Shrestha" → "राम बहादुर श्रेष्ठ"

2. Convert addresses with common Nepali place names
   Example: "Kathmandu Municipality" → "काठमाडौं नगरपालिका"

3. Convert English numbers to Nepali numbers
   Example: "Ward 5" → "वडा ५"

4. Process complete citizen data dictionaries
   Takes data like {"name": "Hari Sharma", "address": "..."} and converts all fields

What's NOT Included (Yet)

• No reverse conversion (Nepali to Roman) - only one-way
• No complex rules - simple character mapping only
• No your JSON data - uses only basic built-in dictionary
• No advanced features - kept minimal for first version

Installation

pip install nepali-citizen-transliterator

Basic Usage

from nepali_citizen_transliterator import CitizenTransliterator

# Initialize
trans = CitizenTransliterator()

# Convert a name
nepali_name = trans.transliterate_name("Sita Kumari Rai")
print(nepali_name)  # सीता कुमारी राई

# Convert an address
address = trans.transliterate_address("Ward 9, Pokhara")
print(address)  # वडा ९, पोखरा

# Process citizen data
data = {
    "name": "Gopal Sharma",
    "district": "Kathmandu",
    "citizenship_no": "05-12345"
}
result = trans.transliterate_citizen_data(data)
# {'name': 'गोपाल शर्मा', 'district': 'काठमाडौं', 'citizenship_no': '०५-१२३४५'}

What's Really in the Box

This package has:

• Basic character mappings (a→अ, k→क, etc.)
• ~50 common Nepali names (Ram, Shyam, Sita, Gopal, etc.)
• ~30 common place names (Kathmandu, Pokhara, districts)
• Address terms (Ward, Municipality, Tole, etc.)
• Number conversion (0-9 to ०-९)

This is a Starting Point

I'm publishing this as version 1 to:

1. Get the package structure working
2. Test PyPI publishing process
3. Have a base to build upon
4. Get feedback from actual use

Next Steps (Your Suggestions Needed)

I plan to improve this by:

1. Adding your JSON data - to make it actually useful
2. Improving accuracy - better rules and patterns
3. Adding reverse conversion - Nepali to Roman
4. More validation - better data checking

Help Me Make It Better

Since this is my first package, I'd appreciate:

• What features do you actually need?
• What data should I prioritize adding?
• How should I handle edge cases?
• Any bugs or issues you find?

Simple Enough?

This package is intentionally minimal. Install it, try it, and tell me what's missing or what should change.

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Note: This is version 1.0 - basic functionality to start with. Expect improvements based on real usage.