Images can come in with insufficient or missing description, this can be remedied by using AI to describe the images better, which increases the searchability of them in the system.
Pain: From articles to social media campaigns, visuals play a crucial role in driving audience engagement. However, images arrive from many different sources and often lack accurate or detailed descriptions making them difficult to locate and resulting in good images being underutilized in production workflows. This results in wasted time, underperforming assets, and additional costs.
Pill: Openstore, OpenstoreAPI
Description: Through Openstore’s AI-powered metadata enrichment workflow, the value and functionality of image libraries are improved and often transformed by automatically generating and enriching the metadata of all images through AI analysis.This process, which is fully compatible with legacy systems, transforms disorganized archives into dynamic, searchable and continuously updated assets. This enables teams to spend more time creating compelling content rather than wasting time on manual searches, while enriched metadata ensures every image contributes to your publication’s creative vision. This AI service doesn’t just solve current inefficiencies—it lays the foundation for a future of seamless, scalable, and impactful content creation.
Proof: Our image archives contain massive collections of historical, editorial and creative content collected, assembled, inherited, produced and purchased over the past 75+ years. While the content is vast and certainly valuable, it was extremely difficult to work with due to the multiplicity of sources, systems and frameworks from which they were collected.By taking advantage of Openstore’s capabilities for automatically and intelligently enhancing all of our metadata without disrupting legacy systems and workflows, we have been able to side step the impossible tasks of manual image tagging in multiple legacy systems and now have significantly more powerful and effective interfaces available for all of our internal and external customers.
Images are added to Openstore
Openstore timer function send new images to AI analyse via OpenstoreAPI
OpenstoreAPI gets result from AI and adds the enriched description to images
OpenstoreAPI also updates the image *embeddings to enable text search of images
What information AI should focus on is set in the configuration file to Openstore
*) Text embedding (the same as word embeddings) is a transformative technique in natural language processing (NLP) that has improved how machines understand and process human language. Text embedding converts raw text into numerical vectors, allowing computers to understand it better.
