kannada

Bible databases as XML, JSON, SQL & SQLITE3 Database format for various languages. Developers can download it freely for their development works. Freely received, freely give.

Your one-stop resource to learn Python from scratch in namma kannada 💛❤️

Codebase for Indic-Transliteration using Seq2Seq RNN. For latest repo with Transformer-based models, check: https://github.com/AI4Bharat/IndicXlit

Towards Building Text-To-Speech Systems for the Next Billion Users - Microsoft Research Intern Work - Accepted at ICASSP 2023

Finite-state script normalization and processing utilities

Efficient and easy to use transliteration for Indian languages

Indian Language Tagger and Chunker (Hindi, Telugu, Tamil, Marathi, Punjabi, Kanada, Malayalam, Urdu, Bengali)

A personal app to teach oneself any language, Duolingo style.

ferdinand-kittel Font

Indic-En WebExtension for transliterating webpages. Malayalam, Hindi, Kannada -> Manglish, Hinglish, Kanglish. Mirror of https://gitlab.com/subins2000/indicen

A Simple Flask Application to convert Handwritten Kannada characters into printed text

Grapheme-to-phoneme (G2P) conversion for Tamil / Kannada languages - a building block for Indic text-to-speech (TTS) systems

A OCR Project for Reading New and Old Kannada Texts

Layout-preserving PDF translator built for Indian scripts. HarfBuzz-shaped rendering keeps Kannada, Hindi, Tamil and 20+ languages pixel-perfect, with OCR for scans, legacy-font (Nudi/Kruti Dev) detection and Google or offline IndicTrans2 engines. Streamlit app, CLI and Python API.

prakrit.info/kannadatexts

A tool to convert text in Kannada script to Tulu script.

Fast, drop-in multilingual profanity and toxicity screener for Node.js, powered by System 1 models like TypeSafe AI Jev and Laya. Catches leetspeak, character spacing, and romanized profanity across languages including Kannada, Telugu, Tamil, Hindi, and Bengali. ~50-500ms latency.

A calculator that uses handwritten Kannada digits and operators to calculate the result, using contour detection and CNN model predictions. PyTorch, OpenCV, PIL and CustomTkinter.

Using a Convolutional Neural Network (CNN) to identify the Kannada numerical digits. Tensorflow (Keras) is used to create, train and load the neural network model. CustomTKinter/TKinter are used to provide the GUI and OpenCV is used to read input form the GUI.

Kannada Fonts Showcase