The value of a digital asset collection is significantly increased when it includes rich and relevant metadata. Imagine effortlessly finding images within a vast collection of digital assets without the need for tedious and time-consuming manual tagging. DBGallery's automated metadata capabilities have been steadily expanding, leading to significant improvements in image discoverability by automatically adding a variety of context-sensitve data. This saves time for everyone searching for valuable images to include in their projects - and greatly reduces the frequency of not being able to find the desired image.
Even without time-consuming manual data input, images are becoming increasingly more organized and searchable. Is manual tagging a thing of the past!?
 | 01 Object Recognition Identifies and tags common objects, such as cars, buildings and apples. |  | 02 Image-to-text This feature, also known as optical character recognition (OCR), extracts text from images, making it searchable and accessible. | ||
 | 03 Facial Recognition Facial recognition in identifies individuals in photos and labels them with their names. When starting out with an existing photo collection, or uploading photos which contain new faces, simply name a face once and all the photos with that same unnamed face is tagged with the name provided. |  | 04 Existing Metadata DBGallery leverages existing metadata already embedded in files, including keywords, titles, and camera EXIF data like camera model and date taken. Data entered using 3rd-party system adhering to metadata standards is also read. | ||
 | 05 GPS: location, city, country When available, DBGallery uses GPS data to add location information, such as city, state, and country, to images. |  | 06 AI Descriptions This feature uses artificial intelligence to automatically generate detailed, two-paragraph descriptions of images and graphics. Users can provide their own prompts to the AI to customize the descriptions. |
"“One customer project can produce 5,000 photos. Avoiding the time of manually sorting and categorizing that quantity of images was a key factor in moving forward with DBGallery's AI-based solution."
– Rod Lane, President, Lane Consulting Services
