An open-source, modular digitization toolkit designed for low-cost, high-quality scanning using Raspberry Pi Compute Module 4 and 64MP ArduCam cameras. Built for use in low-resource environments and community archives.
- Empower small institutions and communities to digitize archival materials.
- Provide an easy-to-use web interface for image capture, metadata entry, and export.
- Ensure long-term reproducibility through open standards (BagIt, CSV, TIFF).
- Prioritize modularity and hardware independence for future-proofing.
- Hardware: Raspberry Pi CM4 + CM4IO, Raspberry Pi 5 (dual camera embedded), 2x 64MP ArduCam autofocus cameras, 2 x Cannon EOS Rebel T7 (GPhoto compatible cameras)
- Backend: Python, FastAPI
- Frontend: Svelte
- Database: SQLite
Project currently in development. Kick-off: September 2025 Alpha prototype planned for deployment at SBMAL in June 2025.
This repository uses Git submodules for the frontend and backend code.
When cloning, make sure to fetch submodules as well:
# Clone with submodules
git clone --recurse-submodules [email protected]:UCSB-AMPLab/digitization-toolkit.gitIf you already cloned without --recurse-submodules, you can initialize and update submodules manually:
git submodule update --init --recursiveTo pull the latest changes for submodules after updates:
git submodule update --remote --mergeSee the wiki for detailed developer guides and API references.
MIT