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14790897Simulate handwritten text with a versatile web tool
Top 59.1% on SourcePulse
This web application generates realistic simulated handwriting images from text, targeting users needing custom handwritten visuals. It offers extensive customization and straightforward deployment, enabling quick creation of personalized, distinct handwriting outputs.
How It Works
The project provides a web interface for text input and parameter configuration. A backend service applies user-defined fonts, backgrounds, and stylistic adjustments (margins, jitter, ink variations, smudges). It extracts text from PDF/DOCS, offers real-time preview, and generates final images as batch ZIP downloads or one-click PDF exports.
Quick Start & Requirements
docker-compose up -d (port 2345). Place custom fonts in ttf_files/. CPU limits are configurable.Ctrl+Shift+B) automate setup. Manual setup involves installing backend (pip install -r requirements.txt) and frontend (npm install) dependencies, then running python app.py (backend, port 5005) and npm run serve (frontend, port 8080).https://handwrite.14790897.xyz, Video: https://www.bilibili.com/video/BV1DM4y1W7fp/Highlighted Details
Maintenance & Community
The project shows active development, with recent notes addressing technical challenges and a to-do list for enhancements like WebSocket integration and request queuing. Community discussion occurs via a Telegram group (https://t.me/+zFImOziSNullOTE1).
Licensing & Compatibility
The project's README does not explicitly state a software license. This absence requires clarification regarding usage rights, particularly for commercial applications or derivative works.
Limitations & Caveats
Application experiences request timeouts (504/524 errors) with Cloudflare (100s limit) for large text volumes. Past issues with disk space from incomplete log cleanup were noted. Current request handling may drop requests under load; queuing is planned.
2 weeks ago
Inactive
sharonzhou
lucidrains
nerdyrodent
Shengjia Zhao(Chief Scientist at Meta Superintelligence Lab),
openai
CompVis