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Description
JSTOR Seeklight is an innovative, AI-driven tool designed for the efficient processing of collections, developed within the framework of JSTOR Digital Stewardship Services. This resource assists archivists and librarians in accelerating the handling of digital collections while maintaining essential professional standards and archival integrity. Seeklight utilizes advanced algorithms to automatically create descriptive metadata in line with a Dublin Core-compatible schema and generates transcripts for various document types, including typed, handwritten, or mixed formats. It also organizes related files into consolidated archival items when necessary, all managed through a user-friendly cloud-based interface. Each AI-generated metadata entry is accompanied by confidence scores, allowing users to review, modify, or discard the suggestions, and items are categorized with tags such as “AI-Generated,” “Reviewed,” or “Edited” to promote transparency and human oversight. Additionally, Seeklight offers project-level summaries following the traditional format of finding aids, which enhances the searchability and accessibility of collections, thus streamlining the research process for users. This comprehensive approach not only improves efficiency but also reinforces the quality of archival practices in the digital age.
Description
Enhance your video management by tagging time-referenced metadata to your clips, enabling swift searches through your available assets to effortlessly locate the ideal video content. Streamline your video production by automating essential tasks such as importing, transcoding, file transfers, and archiving. With the help of artificial intelligence (AI), you can efficiently generate time-referenced metadata for your videos, and Medialoopster is equipped to handle this vast amount of data! Entire workflows are fully optimized, covering everything from material entry to research and processing within the editing system, along with distribution, archiving, and even the ability to search for and reuse previously existing assets. Leveraging AI technologies enables the automatic extraction of video workflows, significantly enhancing your overall productivity and allowing for a more seamless creative process. By integrating these advanced systems, you can focus more on your creative vision and less on logistical challenges.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
JSTOR
Founded
1995
Country
United States
Website
info.jstor.org/human-centered-ai-for-stewardship/
Vendor Details
Company Name
Nachtblau
Founded
2005
Country
Germany
Website
medialoopster.de/en/
Product Features
Library Management
Acquisition Management
Barcode Scanning
Barcoding / RFID
Catalog Management
Church Libraries
Circulation Management
Fee Collection
Inventory Management
Law Libraries
OPAC
Patron Management
Periodicals Management
Private Libraries
Public Libraries
Reserve Shelf Management
School Libraries
Search
Self Check-in / Check-Out
Serials Management
Product Features
Digital Asset Management
Asset Categorization
Asset Library
Asset Sharing
Brand Control
Customizable Branding
File Conversion
Metadata Management
Mobile App
Reporting/Analytics
Search Within Document
Search/Filter
Version Control
Watermarking
Workflow Management