Lipi Lekhika is a library for transliterating text from one script to another.
Project description
Lipi Lekhika — Python
A powerful, fast transliteration library for Indian Brahmic scripts with real-time typing support
📖 Documentation • 🌐 Website • 📝 Changelog
✨ Features
- 🔄 Bidirectional Transliteration — Convert between 15+ Indian Brahmic scripts
- 🦀 Rust-Powered — Uses compiled Rust functions for blazing-fast operations
- 🛡️ Full Type Safety — Type hints for all functions and proper IDE support
- ⚡ Real-time Typing — Low-latency typing engine for interactive applications
- 🎯 Highly Customizable — Fine-tune transliteration with custom options
- 🪶 Lightweight — Minimal dependencies, fast installation
📥 Installation
pip install lipilekhika
Requirements: Python 3.10+
🚀 Quick Start
Basic Transliteration
from lipilekhika import transliterate
# Transliterate from Normal script to Devanagari
result = transliterate('na jAyatE mriyatE vA', 'Normal', 'Devanagari')
print(result) # न जायते म्रियते वा
With Custom Options
from lipilekhika import transliterate
result = transliterate(
'गङ्गा',
'Devanagari',
'Gujarati',
{'brahmic_to_brahmic:replace_pancham_varga_varna_with_anusvAra': True}
)
print(result) # ગંગા (instead of ગઙ્ગા)
📖 See all Custom Transliteration Options
📚 Core API
Functions
transliterate(text, from_script, to_script, options=None) — Transliterate text between scripts
from lipilekhika import transliterate
result = transliterate('namaste', 'Normal', 'Devanagari')
# Returns: नमस्ते
Parameters:
text: str— Text to transliteratefrom_script: ScriptLangType— Source script/languageto_script: ScriptLangType— Target script/languageoptions: dict[str, bool] | None— Custom transliteration options
Returns: str
preload_script_data(name) — Preload script data to avoid initial loading delay
from lipilekhika import preload_script_data
preload_script_data('Telugu')
get_all_options(from_script, to_script) — Get available custom options for a script pair
from lipilekhika import get_all_options
options = get_all_options('Normal', 'Devanagari')
# Returns: list of available option keys
Constants
from lipilekhika import SCRIPT_LIST, LANG_LIST, ALL_SCRIPT_LANG_LIST
print(SCRIPT_LIST) # ['Devanagari', 'Bengali', 'Telugu', ...]
print(LANG_LIST) # ['Sanskrit', 'Hindi', 'Marathi', ...]
| Export | Description |
|---|---|
SCRIPT_LIST |
List of all supported script names |
LANG_LIST |
List of all supported language names mapped to scripts |
ALL_SCRIPT_LANG_LIST |
Combined list of all scripts and languages |
⌨️ Real-time Typing
Enable real-time transliteration as users type character by character.
from lipilekhika.typing import create_typing_context
ctx = create_typing_context('Telugu')
# Process each character
for char in "namaste":
diff = ctx.take_key_input(char)
# Apply the diff to your text buffer:
# - Remove diff.to_delete_chars_count characters
# - Add diff.diff_add_text
📖 Python Guide • Typing Reference
API
create_typing_context(script, options=None) — Create a typing context
from lipilekhika.typing import create_typing_context, TypingContextOptions
options = TypingContextOptions(
auto_context_clear_time_ms=4500,
use_native_numerals=True,
include_inherent_vowel=False
)
ctx = create_typing_context('Devanagari', options)
Returns: TypingContext with:
take_key_input(char: str) -> TypingDiff— Process character input and return diffclear_context()— Clear internal stateupdate_use_native_numerals(value: bool)— Update numeral preferenceupdate_include_inherent_vowel(value: bool)— Update inherent vowel inclusion
Additional Utilities
from lipilekhika.typing import get_script_typing_data_map
# Get detailed typing mappings for a script
typing_map = get_script_typing_data_map('Telugu')
# Useful for building typing helper UIs
📖 Resources
- Documentation Home — Complete guides and API reference
- Python Guide — Getting started with Python
- Supported Scripts — Full list of scripts
- Custom Options — Transliteration options reference
- GitHub Repository — Source code and issues
- Changelog — Version history and updates
Project details
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