indic-transliteration
Transliteration tools to convert text in one indic script encoding to another
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no security vulnerabilities, uses a permissive MIT license, and installs with low friction. It fills a specific and well-defined role for Indic script conversion with a stable API and both programmatic and CLI interfaces. Install it if you need to work with Indic scripts or transliteration schemes.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with a pure-Python wheel distribution.
- Active maintenance with a recent release and steady repository activity.
- Six runtime dependencies are all lightweight and widely available.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in commercial and private projects with minimal attribution requirements.
last release 2026-04-06 (130 days) · last repo commit 2026-08-02 · 210 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 95,224 downloads/mo, #13,277 on PyPI
Alternatives
Verify before relying
from indic_transliteration import sanscript
data = 'idam adbhutam'
result = sanscript.transliterate(data, sanscript.HK, sanscript.TELUGU)
print(result) # ఇదమ్ అద్భుతమ్- Whether Python version requirements are enforced (requires_python is unspecified in metadata)
- Performance characteristics with large texts or many concurrent transliterations
- Completeness of Dravidian language extensions beyond the examples shown
What it is and what it does
indic_transliteration is a library for converting text between Indic scripts and transliteration schemes commonly used for Sanskrit, Hindi, Tamil, Telugu, Kannada, Bengali, and related languages. It supports conversion between native scripts (Devanagari, Tamil, Telugu, Kannada, Bengali, Gujarati, Gurumukhi, Marathi, Oriya, Punjabi) and romanization schemes (Harvard-Kyoto, IAST, ITRANS, SLP1, WX). The package includes utilities for fixing lazy anusvaara and visarga characters, converting to lay Indian search terms, and customizing transliteration schemes.
Beyond the Python API, it provides a command-line tool (`sanscript`) for batch transliteration of files or standard input, with support for reading from and writing to files or pipes. The library is actively maintained, has no known security vulnerabilities, and depends only on lightweight utilities like regex, typer, and tqdm.
Use it for
- Convert Sanskrit or Hindi text from Harvard-Kyoto romanization to Devanagari script for display or storage
- Batch-process text files containing multiple Indic scripts, normalizing them to a single target encoding
- Build search functionality that accepts both native-script and romanized input for the same text
- Develop educational tools that teach transliteration between Indic scripts and Latin-based schemes
- Normalize lazy diacritics and special characters in Indic text before further processing or analysis
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no security vulnerabilities, uses a permissive MIT license, and installs with low friction. It fills a specific and well-defined role for Indic script conversion with a stable API and both programmatic and CLI interfaces. Install it if you need to work with Indic scripts or transliteration schemes.
Install
indic-transliteration on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance with a recent release and steady repository activity. Six runtime dependencies are all lightweight and widely available.
License in practice
MIT license permits unrestricted use, modification, and distribution in commercial and private projects with minimal attribution requirements.
Quickstart
from indic_transliteration import sanscript
data = 'idam adbhutam'
result = sanscript.transliterate(data, sanscript.HK, sanscript.TELUGU)
print(result) # ఇదమ్ అద్భుతమ్Verify before relying
- Whether Python version requirements are enforced (requires_python is unspecified in metadata)
- Performance characteristics with large texts or many concurrent transliterations
- Completeness of Dravidian language extensions beyond the examples shown
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesbackports.functools_lru_cacheregextypertomlromantqdm |
| Maintenance | Actively maintained 130 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 95,224 / month, #13,277 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseNatural Language :: BengaliNatural Language :: HindiNatural Language :: MarathiNatural Language :: PanjabiNatural Language :: TamilProgramming Language :: Python :: 3Topic :: Text Processing :: Linguistic |
Evidence: indic_transliteration-2.3.82-py3-none-any.whl
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