Found 18 repositories(showing 18)
Pranav082001
A simple python script to convert the text into your handwriting
YourAKShaw
This repo contains a few scripts that automate the usage of an app that converts text to handwriting!
enathu
Neythal is a handwriting font that supports Latin and Tamil scripts and adds the feeling of authentic handwriting to your texts. It combines a mischievous spirit and cheerful style.
samyak112
A python script which lets users to convert text to handwriting and gives a jpg format of pages in return
S-keptic
This Python script utilizes the Discord API and PyWhatKit library to create a Discord bot with a "text to handwriting" feature. The bot listens for commands in a Discord server, converts the entered text into handwritten form using PyWhatKit, and then sends the output as an image to a specified channel.
jeremiahbrockway
A Google Apps Script to automate the sync between reMarkable and NotebookLM. It pulls handwriting-to-text exports from Gmail and appends them to specific Google Docs daily. Perfect for building a live, AI-searchable research base from handwritten notes and To-Do lists.
hamad-gamal
This tool recolors the black or near-black text in selected PDF pages to a user-chosen color, enabling students to trace verses directly on printed Quran pages. By highlighting the script in vibrant hues, it aids memorization, improves handwriting practice, and makes recitation exercises more engaging.
leo-r-jia
A simple Python script to convert text to handwriting
nitin31mohan
A python script to convert text into specified handwriting
pateatlau
Handwriting image to text converter using Python script and Gemini API
Mohammed-Zain-py
"A Python script that converts text to a personalized handwriting style on a A4 size page using a custom font file"
Jakeyar
A Python script that extracts text from image files using Tesseract OCR and saves the results to a text file. Great for digitizing screenshots, scanned docs, or handwriting.
KrishBharadwaj5678
Unleash the charm of handwritten text with Scriptify! Instantly convert your typed words into beautiful handwriting. Dive into the art of script and make your text stand out with Scriptify's customizable styles and seamless experience. Try it now and add a unique, personal touch to your digital text!
Bhanseedhar
OCR tool specifically designed to recognize and digitize handwritten Japanese characters. This project leverages image processing and machine learning techniques to accurately extract text from handwritten scripts, preserving the nuances of Japanese handwriting styles. Ideal for educational and translation applications.
chiragjagad
I was wondering about converting text into my handwriting, and so here I am with this script which I made using Python. The script can convert all the alphabets(capital and small), numbers, and various special characters into my handwriting and print them on an HTML page which I made using CSS. The script lets me paste or type in the text file and handles the splitting of lines to align them into the paper area. Type, Run and Snip to make your document!
Dalia-Manel
This project focuses on developing an Optical Character Recognition (OCR) system tailored for Arabic text, both handwritten and printed. Unlike Latin-based OCR, Arabic script presents unique challenges due to its cursive nature, context-dependent letter shapes, diacritics, and diverse handwriting styles.
BasilSaeedBari
This project automates the creation of Instagram posts from handwritten literature. It takes user-provided text, renders it in a custom handwriting-style font, and overlays it onto a background image to produce aesthetically pleasing social media content. The script is written in Python and leverages libraries such as PIL for image processing.
Shernobyl
In this project, we implement a writer identification system that will be able to identify a given writer from their handwritten script or text. It includes the following modules: Line Segmentation using A* algorithm, Pre-Processing, Feature Extraction/Selection Module, Model Selection and Training Module with accuracy if 89%, This project is adjusted on the IAM Handwriting Database and implemented on jupyter notebook.
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