TIND Digital Archive
Showcase and preserve your digital collections
OCR and hOCR
Flexible Data Model
Charlotte Mecklenburg Library's implementation of TIND Digital Archive has significantly improved staff and end-user experiences. Manager John O'Connor talks about how they are able to streamline operations, enhance accessibility, and efficiently manage digital assets.
"One of my favorite features of TIND DA is the user interface. People expect a big search box, right? Google has popularised that. And that’s what they get with TIND. Having a nice UI on the backend is also really a critical piece for me. For my staff to be able to work with this platform and not having to do a bunch of training is really key for keeping my lean staff doing digitization work efficiently."
Since migrating to TIND DA in 2020, Skidmore College has experienced significant time and cost savings, along with a notable increase in usage from both new and returning users. David Seiler, the Visual Resources and Digitization Director of Lucy Scribner Library, shares his firsthand experiences with TIND DA and how it has revolutionized the digitization process at Skidmore College.
The East Hampton Library elevated the user experience and expanded the collection's reach with TIND DA. Library Executive Director Dennis Fabiszak sheds light on the significant improvements and opportunities unlocked through this transition, highlighting TIND DA’s role as a tool for digital expansion and community collaboration in East Hampton.
Millersville University transformed its McNairy Library’s digital archive and workflow with TIND. Here, you can read the story of how TIND's intuitive, efficient platforms centralized content, simplified operations, and enriched user experience. Veteran Information Systems Librarian Scott Anderson shares insights and highlights from their TIND experience.
Present and make your audio collections accessible directly in the record pages.
The TIND image viewer supports full text search within images as well as enriching the viewing experience with alternative text representation.
TIND can perform OCR text recognition seamlessly during ingest.
Easily perform bulk ingests of your digital assets and map them to records.