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About

JSTOR Seeklight is an AI-assisted collections-processing tool built as part of JSTOR Digital Stewardship Services. It helps archivists and librarians process digital collections faster while preserving professional oversight and archival values. Seeklight automatically generates descriptive metadata based on a Dublin Core–compatible schema, produces transcripts for typed, handwritten, or mixed-format documents, and groups related files into single archival items when appropriate, all handled via a cloud-hosted interface. Confidence scores accompany every AI-generated metadata field, and users can review, edit, or reject outputs; tags mark items as “AI-Generated,” “Reviewed,” or “Edited,” ensuring transparency and human supervision. It supports project-level summaries in the format of traditional finding aids, making collections easier to search and discover.

About

Intuitive navigation of product data enabling you to grow quicker. Unify your assembly and documentation management for smarter, accelerated innovation. Speed up part generation by accessing dokuly's ever-growing part database. Access part images, price, and technical specifications for a plethora of parts. Dokuly generates your document's front page, complete with metadata and your company logo. Create your own document types, that will automatically generate unique document numbers. We take security seriously, all data is stored in Azure's secure cloud with your own isolated database schema. With two-factor authentication, you're protected from silly mistakes. Manage your time effectively across projects and custom tasks. Log hours and produce reports for easy billing. Oversee your project's progression using the integrated Gantt charts. Store all part-related information and documents. Complete with release and revision control.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Libraries, archives, and cultural institutions wanting a tool to preserve and publish their digital collections efficiently and share large backlogs of materials in a scalable, standards-compliant way

Audience

Companies interested in a solution to manage and improve their onboarding operations through product data optimization

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

JSTOR
Founded: 1995
United States
info.jstor.org/human-centered-ai-for-stewardship/

Company Information

dokuly
dokuly.com

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Squad

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Categories

Categories

Integrations

JSTOR
Microsoft Azure

Integrations

JSTOR
Microsoft Azure
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