TIND Digital Archive
Showcase and preserve your digital collections
OCR and hOCR
Flexible Data Model
After migrating to TIND DA in 2020, efficient workflows and improved user experience have saved Skidmore College time and money and increased usage from both new and returning users.
Watch the interview with Visual Resources and Digitization Director of Lucy Scribner Library David Seiler to learn more about his experiences with TIND DA and how it has transformed the digitization process at Skidmore College.
The East Hampton Library has successfully migrated its digital collections from CONTENTdm to TIND DA, highlighting the following key improvements:
1) Improved user experience
2) Getting material online faster
3) Broader reach for its collections
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.