lipilekhika 0.0.2

Lipi Lekhika is a library for transliterating text from one script to another.

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 transliterate
• from_script: ScriptLangType — Source script/language
• to_script: ScriptLangType — Target script/language
• options: 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 diff
• clear_context() — Clear internal state
• update_use_native_numerals(value: bool) — Update numeral preference
• update_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

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📖 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