A tool for reverse-engineering integrated circuits from die photographs, with a special focus on CMOS Gate Array/Standard Cell chips. Import and tile gigapixel die shots, annotate them (vias, traces, standard cells) with optional ML assistance, and extract the circuit, per-cell transistor and logic-gate schematics, and a die-level Verilog netlist.
Die viewer — navigate the whole die, with placed cells, nets, and I/O pins.
Cell RE — annotate a cell's layers; transistors, gates, and logic are inferred.
Die shots in those screenshots are from InfoSecDJ.
frontend/ Vite + React + TypeScript UI (die viewer, cell RE, schematics, Verilog)
backend/ Node + TypeScript API — image import, tiling, JSON persistence, WebSocket
shared/ Shared TypeScript types (the annotation schema)
ml/ Python U-Net for via/trace detection + FastAPI prediction sidecar
data/ Imported dies, tile pyramids, and ML exports
Node ≥ 20(npm workspaces) — required.** Python ≥ 3.10**— only for the ML sidecar (assisted via/trace annotation).
npm install
python3 -m venv ml/.venv
ml/.venv/bin/pip install -r ml/requirements.txt
npm run dev
Starts the backend (http://localhost:3001), the frontend (http://localhost:5173), and the ML sidecar together. Open the frontend URL.
Without the ML sidecar, run just the two TypeScript apps:
npm run dev -w backend
npm run dev -w frontend
Build and test:
npm run build
npm test
IMPORTANT NOTE: This software is still very early in development and has been tested only locally (firewalled). Use at your own risk.