The Natural Language Search feature allows users to enter search queries in a more conversational and intuitive way, without needing to remember exact keywords. Powered by Natural Language Processing (NLP), the system can understand the context of the query and return results that are more accurate and relevant.
Users can also sort results by Match Score, helping them quickly identify which assets are most closely related to their search intent.
HIVO’s Similarity Search offers a visual, metadata-independent approach that spans your entire asset library—whether images are tagged or not. It instantly ranks either the full library or a selected subset, so you can immediately identify assets with the highest visual resemblance. Multi-target searches let you redefine queries or construct sophisticated searches for abstract themes—such as fun, climate or leadership—by using multiple example images.
With Search by Image, you can determine at a glance whether similar visuals already exist in your HIVO portal. Simply paste an external image URL to locate like assets and avoid purchasing duplicate—or overly similar—stock imagery.
HIVO’s AI-Powered Duplicate Finder employs advanced AI algorithms to detect and manage duplicate files—across images, documents and videos—either before upload or within the waiting room. This ensures complete control over asset duplication and eliminates redundant content.
Text-in-Image Search enables you to find images containing text directly from your HIVO library search bar—without having to tag assets or add metadata. Whether you’re trying to locate campaign visuals with a text based logo in them or retiring those branded product and packaging labelled images, this feature delivers highly accurate search results without the manual input.
Save time by automatically tagging known faces with HIVO’s AI Face Recognition. Easily stay compliant with privacy and consent management requirements by recording and enforcing usage permissions for each individual, then search rapidly for assets featuring specific people—even within vast collections—by leveraging face-mapping technology to streamline identification and consent workflows.
HIVO automatically generates transcripts for all audio and video files in your DAM. Using AI-driven speech-to-text models that support more than 100 languages, it converts spoken content into searchable text, making multimedia assets fully discoverable.