Popular GitHub Repositories for Hershey Fonts

? 首个CJK（中日韩）字体识别以及样式提取模型 YuzuMarker的字体识别模型与实现 / First-ever CJK (Chinese Japanese Korean) Font Recognition and Style Extractor, side project of YuzuMarker

Hey, Computer, Make Me a Font

GPThemes is a Chrome and Firefox extension designed to improve the visual experience of ChatGPT with customisable accent colours, custom fonts, modern designs and custom chat bubble widths

An archive of monoline vector fonts, and p5.js code to render them.

based on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture

Procedurally generated fonts

A NLP package for Chinese text：Preprocessing, Tokenization, Chinese Fonts, Word Embeddings, Text Similarity and Sentiment Analysis 轻量级中文自然语言处理软件包

Synthetic Document Generator for Document AI. Creates document images annotated with text and bounding boxes of each word. Images contain headings, tables, paragraphs with different formatting and fonts. Can be used in OCR, document transformers pretraining, text detection and more other tasks.

IFTG (ImageFromTextGenerator) is a Python package that simplifies creating robust datasets for OCR models. Generate images from text, apply over 10 built-in noise effects, and customize fonts and layouts. IFTG supports all languages and offers endless noise combinations, including custom noise creation.

CHARacter-awaRE Diffusion: Multilingual Character-Aware Encoders for Font-Aware Diffusers That Can Actually Spell

A powerful PowerPoint translation tool that preserves all formatting while translating content using the Deepseek API. This tool maintains fonts, colors, layouts, and other styling elements while providing accurate translations between languages.

H-Former is a VAE for generating in-between fonts (or combining fonts). Its encoder uses a Point net and transformer to compute a code vector of glyph. Its decoder is composed of multiple independent decoders which act on a code vector to reconstruct a point cloud representing a glpyh.

We propose a Seed-Augment-Train/Transfer (SAT) framework that contains a synthetic seed image dataset generation procedure for languages with different numeral systems using freely available open font file datasets

A friendly bot that summarizes your files and answers your questions - without judging your terrible taste in fonts!

Translates a grayscale image as series of weight-axis variations