# sjvasquez/handwriting-synthesis

Handwriting Synthesis with RNNs ✏️

Repository: https://github.com/sjvasquez/handwriting-synthesis
Canonical: https://ross.abutalabs.com/products/handwriting-synthesis
Language: Python
License Family: other
Topics: handwriting-synthesis, handwriting-generation, recurrent-neural-networks, tensorflow
Last push: 2024-01-11T22:04:19+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3111, "days_push": 965, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4802, forks 677 (observed 2026-08-28T04:09:00.208965+00:00)

## What it is
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
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, image-processing
- domain: machine-learning, deep-learning, artificial-intelligence
- platform: python
- tags: handwriting-synthesis, rnn, tensorflow, handwriting-generation, research-code, svg-output

## Member repositories
- sjvasquez/handwriting-synthesis (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:00.208965+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:18:37.469198+00:00, confidence not recorded.
  - readme: https://github.com/sjvasquez/handwriting-synthesis (fetched 2026-08-28T04:09:00.208965+00:00, sha 0d8863942894)
- Data as of 2026-08-30T08:39:29.467469+00:00.