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Home›AI Use Case Library›All use cases›Metadata creation and management›JSTOR Seeklight

JSTOR Seeklight

28 October 2025

Seeklight is JSTOR's AI tool for archivists — generating high-quality metadata through a multi-step process of classification, prompts and human oversight. Co-developed with practitioners as part of JSTOR's digital stewardship work, and purpose-built to support archivists rather than replace them.

Benefits & outcomes

At Goldey-Beacom College Library, students described 172 historical photographs in 4 hours — against a previous rate of 250 per year.

The shift: from authoring every word to reviewing and governing at scale.


Publisher / company: JSTOR / ITHAKA
Date of mention: 28/10/2025
Source: https://about.jstor.org/blog/jstor-seeklight-transforms-digital-stewardship/

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