Handwriting Synthesis with RNNs ✏️

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

Realistic Handwriting with Tensorflow

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

Handwriting-Transformers (ICCV21)

Code for `DeepWriting: Making Digital Ink Editable via Deep Generative Modeling` paper

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

Handwriting generation and handwriting synthesis as described in Alex Graves's paper https://arxiv.org/abs/1308.0850. Pytorch implementation.

⚡ Create handwritten documents from text with a Neural Network!

Source code for ECCV20 "GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images"

A GAN model that can generate handwritten samples

Official PyTorch Implementation of "Rethinking HTG Evaluation: Bridging Generation and Recognition" (Oral) - 1st Workshop on Critical Evaluation of Generative Models and their Impact on Society - ECCV 2024

A PyTorch handwriting-synthesis model built on Graves’ LSTM+attention paper, with multi-stage distributed training, a React demo UI, and a ready-to-use inference API.

Implementation of a network for Handwriting Synthesis based on the work of Generating Sequences With Recurrent Neural Networks by Alex Graves (https://arxiv.org/abs/1308.0850)

Sample your own (Russian) handwriting to synthesize new handwritten text

🖋️ Transform digital text into realistic handwriting with AI-powered humanization. Privacy-first web app featuring procedural rendering, organic jitter simulation, and intelligent pagination. No server storage—everything runs in your browser. Perfect for assignments, notes, and authentic handwritten documents. ⚡ Fast • 🔒 Secure • 🎨 Realistic.

data synthesis for simulation of pen-based interaction

DEPRECATED - Draws scribbly looking things. ➰✏

The future of handwriting on the web? (needs perf work!)

[ICLR 2026] DiffInk: Glyph- and Style-Aware Latent Diffusion Transformer for Text to Online Handwriting Generation

A Handwriting Generator for Personalized Digital Content Creation with RNN.

Implementation of paper "Generating Sequences With Recurrent Neural Networks"

Implementation of handwriting synthesis from this paper by Alex Graves - https://arxiv.org/pdf/1308.0850.pdf

An online handwriting synthesizer based on Alex Graves paper - Generating Sequences With Recurrent Neural Networks. GUI built in electron.js

WriteBot is an AI-powered handwriting synthesis web application that converts digital text into realistic handwritten SVG documents. The system uses a trained TensorFlow recurrent neural network (RNN) to generate stroke sequences that mimic natural handwriting, with extensive customization options for page layout, styling, and character rendering.

Handwriting Generation using multi layer LSTM Mixture Density Network with Pytorch

Synthesizing multi-mode handwriting motion with kinematics features

This project offers a simple and intuitive interface for users to input text and generate images that showcase the text in a handwritten style. The generator supports several stylistic modifications including bold, underline, and color alterations, allowing users to create personalized and visually appealing images from their text.

Handwriting style extraction and emulation

Handwriting generation, built with svelte, deployed on workers