The Mountain Legacy Project is thrilled to cross-post this article from Kula: Library Futures Academy, highlighting a collaborative exploration of how AI-assisted OCR can support MLP field note workflows. The piece looks at the use of Chandra, an open-source vision-language model, to help convert our seasonal field notes into machine-readable formats while preserving the continued value of paper records in the field. For MLP, this pilot project helps us explore practical ways to reduce manual transcription, improve consistency, and make field observations easier to integrate into Explorer.
Please enjoy the full article at the KULA: Library Futures Academy website!