sjvasquez/handwriting-synthesis

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

4802 stars · 677 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Python implementation of Alex Graves' handwriting synthesis experiments using recurrent neural networks, generating realistic handwritten text as SVG output. It includes a pretrained TensorFlow model with support for style priming and neatness biasing.

Use cases

• generate realistic handwriting from text
• create handwritten-style SVG images of lyrics or notes
• synthesize handwriting in different styles
• control handwriting neatness with biasing
• reproduce results from the Graves handwriting generation paper
• train a custom handwriting generation model

When to choose

• you need programmatic generation of realistic handwritten text as SVG
• you want a reference implementation of Graves' handwriting synthesis paper
• you want to experiment with style priming and neatness bias in handwriting generation

When to avoid

• you need a packaged, production-ready library with pip installation
• you need handwriting recognition (OCR) rather than generation
• you need output formats other than SVG
• you require active maintenance or a permissive license

Facets

library · maturity maintenance

machine-learning deep-learning image-processing machine-learning deep-learning artificial-intelligence python handwriting-synthesis rnn tensorflow handwriting-generation research-code svg-output

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markdown · JSON · MCP: product_card(name="sjvasquez/handwriting-synthesis")