Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Undetectr is the pioneering engine designed to eliminate AI artifacts from music tracks. Distributors such as DistroKid, CD Baby, and Ditto are able to identify and reject AI-generated compositions from platforms like Suno, Udio, and ElevenLabs Music due to the presence of hidden spectral fingerprints. Undetectr effectively targets and removes these artifacts, which include spectral anomalies, perfect timing, and metadata fingerprints, all while ensuring that the essence of your music remains intact.
Once your AI-generated music has been processed through Undetectr, it will successfully pass detection tests, allowing it to be distributed across a wide range of platforms, including Spotify, Apple Music, YouTube Music, Amazon Music, Tidal, and more than 150 others.
The service also offers specialized mastering for different platforms (such as -14 LUFS for Spotify and -16 LUFS for Apple Music), a Sound Match feature for generating prompts, access to over 100 carefully curated AI music prompts, and a bulk downloader for Suno. With a one-time payment structure and no ongoing subscription fees, Undetectr makes it easy to get your music heard without the hassle of recurring charges.
API Access
Has API
No
API Access
Has API
No
Integrations
JSTOR
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$19/month
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
JSTOR
Founded
1995
Country
United States
Website
info.jstor.org/human-centered-ai-for-stewardship/
Vendor Details
Company Name
Undetectr
Founded
2022
Country
United States
Website
www.undetectr.com
Product Features
Library Management
Acquisition Management
No
Barcode Scanning
No
Barcoding / RFID
No
Catalog Management
No
Church Libraries
No
Circulation Management
No
Fee Collection
No
Inventory Management
No
Law Libraries
No
OPAC
No
Patron Management
No
Periodicals Management
No
Private Libraries
No
Public Libraries
No
Reserve Shelf Management
No
School Libraries
No
Search
No
Self Check-in / Check-Out
No
Serials Management
No