skillfed

bnunicodenormalizer

Bangla Unicode Normalization Toolkit

bnunicodenormalizer v0.1.7 90.1K downloads/30d#13,616 on PyPI24
Permissive license MIT DORMANT released

What it is and what it does

bnunicodenormalizer is a Bangla-specific Unicode normalization library that repairs malformed or invalid Bangla text sequences. It identifies and corrects character-level issues—such as orphaned diacritics, invalid Unicode combinations, and legacy symbol mappings—and returns both the normalized output and a detailed log of operations performed.

The package is designed for Bangla text preprocessing in NLP pipelines, data cleaning, and linguistic analysis. It offers configurable handling of legacy Bangla symbols (with custom remapping), optional preservation of English alphanumerics and punctuation, and operation-level transparency so you can audit what changed and why. No external dependencies are required.

Use it for:

  • Clean user-generated Bangla text before indexing into search engines or databases.
  • Preprocess Bangla corpora for NLP model training by removing invalid Unicode sequences.
  • Normalize Bangla text from OCR or legacy encoding sources that may contain malformed characters.
  • Audit text quality by inspecting the operations log to understand what normalization was applied.
  • Handle mixed Bangla–English documents by selectively normalizing only the Bangla portions.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Normalizes Bangla Unicode text by fixing invalid character sequences, handling legacy symbols, and optionally preserving English text.

Yes, if you work with Bangla text and need character-level normalization. The package is lightweight, dependency-free, and permissively licensed. Dormancy is a minor concern—no active development since mid-2024—but the absence of vulnerabilities and straightforward scope (Unicode repair, not a moving target) make it low-risk for stable use. Verify Python version compatibility and test against your specific Bangla text patterns before production deployment.

Install

bnunicodenormalizer on PyPI

pip

pip install bnunicodenormalizer

uv

uv add bnunicodenormalizer

poetry

poetry add bnunicodenormalizer

Installing bnunicodenormalizer

Before you install

Low install friction with no runtime dependencies. The package is dormant (last commit 2024-05-26, 810 days since release) but carries no known vulnerabilities and remains archived-free.

License in practice

MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open and proprietary projects.

Quickstart

from bnunicodenormalizer import Normalizer

bnorm = Normalizer()
word = 'াটোবাকো'
result = bnorm(word)
print(result['normalized'])

Verify before relying

  • Whether the package handles all modern Bangla Unicode edge cases or only a documented subset.
  • Performance characteristics when normalizing large text corpora or streaming input.
  • Compatibility with Python versions beyond 3 (e.g., 3.8+, 3.10+, 3.12+).

Package facts

License MIT (permissive)
Python support not specified
Install friction low — pure-Python wheel
Runtime dependencies none
Maintenance dormant — 810 days since the last release
Last repo commit
First released
Downloads 90,136/month — #13,616 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: bnunicodenormalizer-0.1.7-py3-none-any.whl

Keywords: bangla, unicode, text normalization, indic

Development Status :: 3 - AlphaIntended Audience :: EducationLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3

Tags

bangla unicode normalizationbengali text cleaningindic script normalizationbangla character validationunicode text repairbangla diacritic handlingindic language text processing
bangla-nlpunicode-repairindic-languages

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