google-research/inksight

Health v2 · maintenance only

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Adoption not part of the score

1006 stars · 74 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

InkSight is a Google Research system that converts photos of offline handwritten text into digital ink strokes using a ViT and mT5 encoder-decoder vision-language model. The repository provides research code, notebooks, and model outputs for offline-to-online handwriting conversion.

Use cases

• convert photos of handwritten notes into digital ink
• derender handwriting images into stroke sequences
• digitize handwritten text from paper
• run handwriting-to-vector conversion in a notebook
• experiment with vision-language models for handwriting

When to choose

• you need to transform handwritten note photos into editable digital ink
• you want to reproduce or build on the InkSight research models
• you need handwriting derendering with a pretrained model

When to avoid

• you need production-grade OCR of printed text
• you want a polished end-user application rather than research code
• you need handwriting recognition without stroke-level output

Facets

library · maturity active

machine-learning computer-vision nlp image-processing machine-learning computer-vision python handwriting-recognition digital-ink vision-language-models derendering research-code natural-language-processing gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google-research/inksight")