Skip to main content

Convert numbers to Persian words

Project description

num2persian

PyPI version npm version

Convert numbers to Persian words. Available in both Python and TypeScript implementations.

📖 فارسی بخوانید Persian

Installation

pip install num2persian

TypeScript Implementation

This project also includes a TypeScript implementation available as an NPM package.

npm install persian-number-words

For more information, see typescript/README.md.

Usage

Python API

import num2persian

# Convert numbers to Persian words
print(num2persian.to_words(42))        # Output: چهل و دو
print(num2persian.to_words(1234))      # Output: یک هزار و دویست و سی و چهار
print(num2persian.to_words(-567))      # Output: منفی پانصد و شصت و هفت
print(num2persian.to_words("890"))     # Output: هشتصد و نود

Command Line

# Convert a number to Persian words
num2persian 2025

# Show version
num2persian --version

# Show help
num2persian --help

Features

  • Convert integers and decimal numbers (positive, negative, and zero) to Persian words
  • Accept string inputs that can be converted to numbers
  • Proper Persian grammar with correct "و" (and) placement
  • Support for very large numbers with proper Persian word naming
  • Decimal numbers with appropriate Persian suffixes (دهم, صدم, هزارم, etc.)
  • Command-line interface
  • Comprehensive test coverage

Examples

from num2persian import to_words

# Basic numbers
to_words(0)      # "صفر"
to_words(15)     # "پانزده"
to_words(100)    # "یکصد"

# Compound numbers
to_words(123)    # "یکصد و بیست و سه"
to_words(2025)   # "دو هزار و بیست و پنج"

# Large numbers
to_words(1000000)         # "یک میلیون"
to_words(1000000000)      # "یک میلیارد"
to_words(1000000000000)   # "یک تریلیون"

# Decimal numbers
to_words(3.14)   # "سه ممیز چهارده صدم"
to_words(0.5)    # "صفر ممیز پنج دهم"
to_words(1.234)  # "یک ممیز دویست و سی و چهار هزارم"
to_words(12.25)  # "دوازده ممیز بیست و پنج صدم"

# Negative numbers
to_words(-42)    # "منفی چهل و دو"

Development

Setup

# Clone the repository
git clone https://github.com/yourusername/num2persian.git
cd num2persian

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install in development mode
pip install -e .

Testing

# Run tests
pytest

# Run tests with coverage
pytest --cov=persian_numbers

Building

# Build wheel and source distribution
python -m build

# Install build dependencies
pip install build twine

# Upload to TestPyPI (replace with actual credentials)
twine upload --repository testpypi dist/*

# Upload to PyPI (replace with actual credentials)
twine upload dist/*

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! This project includes both Python and TypeScript implementations:

  • Python: Located in the root directory
  • TypeScript: Located in the typescript/ directory

Both implementations are tested in CI. Please feel free to submit a Pull Request.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

num2persian-2.0.1.tar.gz (10.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

num2persian-2.0.1-py3-none-any.whl (8.1 kB view details)

Uploaded Python 3

File details

Details for the file num2persian-2.0.1.tar.gz.

File metadata

  • Download URL: num2persian-2.0.1.tar.gz
  • Upload date:
  • Size: 10.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.11

File hashes

Hashes for num2persian-2.0.1.tar.gz
Algorithm Hash digest
SHA256 19f6eee735ed9c7cdc3d568adf6652255707ff82bff0ce1bea76758f84a91437
MD5 e3883b9b793a1cfff6fa49702349d6db
BLAKE2b-256 3561d979975c9c25e83f9de44ab63909f3ad2b9359d1edd776e13291dee68c97

See more details on using hashes here.

File details

Details for the file num2persian-2.0.1-py3-none-any.whl.

File metadata

  • Download URL: num2persian-2.0.1-py3-none-any.whl
  • Upload date:
  • Size: 8.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.11

File hashes

Hashes for num2persian-2.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7d9111ae6bba75eadebd8a3164476d03981943355c752bb68b268b0b1e977c4f
MD5 0beab3d9bb078047aa9af9075b0081fd
BLAKE2b-256 141b7bbb45e7b396ea1c683066c592396e2d52c7fa4fb3f6087bdeb92d932b01

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page