potamides/DeTikZify

Health v2 · maintenance only

Adoption not part of the score

1819 stars · 93 forks observed · 2026-09-25

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

DeTikZify is a Python library and research tool that uses multimodal large language models to synthesize TikZ/LaTeX graphics programs from scientific figures and sketches. It converts raster images of figures into editable vector TikZ code.

Use cases

• convert a scientific figure image into TikZ code
• recreate a sketch as editable LaTeX graphics
• vectorize a plot into TikZ programmatically
• generate LaTeX figures from images with an LLM
• reverse-engineer graphics into TikZ programs
• edit a figure by regenerating its TikZ source

When to choose

• you need editable TikZ/LaTeX source for an existing figure
• you work with scientific figures and want vector reproduction
• you want to experiment with multimodal LLMs for inverse graphics

When to avoid

• you need general-purpose image vectorization without TikZ output
• you have no GPU or LLM inference resources
• you need pixel-perfect raster-to-vector tracing

Facets

library · maturity active

machine-learning llm-inference image-processing data-visualization graphics machine-learning large-language-models computer-vision graphics artificial-intelligence python cross-platform tikz latex inverse-graphics multimodal llama huggingface sketches scientific-figures vectorization gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="potamides/DeTikZify")