Our TaggRe technology allows auto-tagging of vast image collections with poor to no text tags assigned. We can transform your image data into a highly searchable image database.

How TaggRe works

• We process and analyzie the visual content (jpg, gif, png, or raw files) provided by you
• After analyzing your images TaggRe suggests tags that best match the visual content of each image, based on compositional, color and object analysis. The suggested tags aim to describe the image on conceptual, object and visual level
• The tagging can be fully-automated (TaggRe assigns tags according to predefined parameters) which is appicable for automated scripts that would like benefit from integrating our technology or manual (you are offered to choose tags from the ones suggested). The latter can be easily performed with the help of our image auto-tagging tool

Who can use it

• Webmasters for assisted tagging – TaggRe gives you a broad pool of meaningful suggestions that you can choose from
• Companies with vast image collections and poor or no image metadata (e.g. missing or imcomplete description, title, tags)
• User-generated image portals where users usually do not tag properly the images which is the case with most of the images in photo-sharing sites (and thus both imporving their SEO and making them more searchable)