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
Extracts text from images using OCR, making it searchable and accessible.
03 Facial Recognition
Identifies individuals in photos and labels them with their names.
04 Existing Metadata
Uses embedded metadata like keywords, titles, and EXIF data.
05 GPS: location, city, country
Uses GPS data to add location information like city, state, and country.
06 AI Descriptions
Uses AI to generate detailed descriptions of images based on a pre-defined or custom prompts.
Try it out to discover all the metadata that can be added to your images by clicking the Try it Free button above. No credit card required.
"At LCS, one of our customer projects 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
