DBGallery

DBGallery is a Digital Asset Management software package and cloud service. It has a special focus on utilizing image meta-data for finding, exploring and organizing photos. It is a multi-user system for use across an organization. While typically run as on-premises software, since mid-2013 the company has offered it as a SaaS (Software as a Service) cloud-hosted solution. The on-premises software version enables controlled access to the collection via the Internet using a web server plugin.

DBGallery
Developer(s)GRR Systems, Inc
Stable release
DBGallery: 10.1 / 1 April 2020 (2020-04-01)
TypeDigital Asset Management
LicenseProprietary
Websitewww.dbgallery.com

History

DBGallery's first public release was December 2007. Since then each year has seen major enhancements. 2013 added support for additional non-English languages in its meta-data. 2014 added support for creating custom data fields for tagging and search. 2015 included the ability to auto-tag images using Reverse Geocoding. 2018 added artifical intelligence (AI) image recognition as a further addition to auto-tagging.[1]

Version 10 in 2020 added complete image collection management via the web (e.g. file and folder drag and drop), a new collecton dashboard, custom data layouts, and an improved audit trail.[2]

Platform

DBGallery comes in three flavors:

1: Hosted web application. Tested to work on at least the following browsers: Chrome, Edge (2020 chromium version), and Safari.

2: Server version installed on-premise or on a client's cloud environment. Installs on Windows and Linux web servers. Tested to work on at least the following browsers: Chrome, Edge (2020 chromium version), and Safari.

3: Desktop application. Runs on Microsoft Windows only.


DBGallery's database (MySql) and image files may reside on other operating systems, including Linux, Unix, and Mac OS. It runs on 32 and 64-bit systems.

Distinguishing Features

  • Multi-user: The database may reside on a server with any number of workstations accessing the same data and photos.
  • Ability to control which groups of people has access to photos.
  • Uses a SQL database.
  • Search for images based on data fields (keywords, country, subject, copyright, etc.).
  • Search for images based on when images where added to the system, when last viewed, and whether they have specific meta-data.
  • IPTC/XMP meta-data editing. Meta-data languages include English, French, Spanish, Italian, German, Spanish, Swedish, Danish, Norwegian, Icelandic, and Portuguese.
  • GeoTagging and a view of images across a map (uses Google Maps)
  • Reports, including counts of images by Year, City, Author, Subject, and others.
  • Export photos and their data to PDF files.
  • Emailing of images and data (Email Export).
  • Email Import.
  • Export of images and their data to Google Earth (KML Files).
  • Data templates for pre-filled collections of data field values to be saved and later applied to images.
  • Logical Views, allowing image collections to be browsed by meta-data values.
  • Virtual Sets facilitate building shared collections of images.
  • QuickView Cards display categories of data as a mouse cursor rolls over a thumbnail.
  • Find duplicate images across the collection.
  • A Web server plug-in to allow controlled access to the image collection over the web via web browsers.
  • Reverse geocoding.

References

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.