An AI-powered tool to clean manga panels.
-
Updated
Jul 16, 2026 - Python
An AI-powered tool to clean manga panels.
Text preprocessing tools in python.
📊 python package for performing deduplication using flexible text matching and cleaning in pandas dataframe
🛡️ AI DeWatermarker — Real-time AI watermark & text obfuscation detector and cleaner. Detects hidden Unicode, invisible characters, and homoglyph attacks — all processed locally in your browser for full privacy.
🖹 Smart Text Cleaner and Formatter
Khodnevis Normalizer: A Python library for Persian text preprocessing.
Corpora and scripts for cleaning political science texts. Scripts are translated into transformations that support SAGE Texti.
Filter and clean profanity and bad words from text, especially for Indian languages.
Persian text cleaner with additional features on Parsivar package.
Utility that automates name anonymizing over batches of text files
Webmaster's desktop productivity tools
This repository is the implementation of "Don't Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Context".
A tool for cleaning up text copied out of LLM tools like Claude Code or Coded
A free, 100% offline browser-based utility to cleanly extract, format, and fix broken text from PDF files by removing bad line breaks and spaces.
Instantly clean text by removing repeated phrases and clutter. Fast, browser-based tool with an optional Firebase-based metrics system.
Reveal & remove invisible, dangerous & confusable characters in your text — zero-width spaces, BOMs, bidi (Trojan Source), homoglyphs, smart quotes. 100% local. Web app + library + CLI.
A simple command-line tool to clean up messy text files and copied text snippets.
A 100% offline browser-based utility to instantly detect and remove hidden characters, invisible spaces, zero-width spaces, and bad formatting from text.
A clean, client-side utility to convert Word, Google Docs, and OneNote formatting into AI-ready Markdown for Prompt Engineering.
Add a description, image, and links to the text-cleaner topic page so that developers can more easily learn about it.
To associate your repository with the text-cleaner topic, visit your repo's landing page and select "manage topics."