Pinterest is enhancing its visual search feature with a series of new tools aimed at improving the user experience. The platform announced these upgrades on Monday as part of its ongoing effort to make searching for images, rather than words, more efficient and accessible.
The new capabilities are designed to help users better articulate their preferences, particularly in areas like women’s fashion in key markets such as the U.S., Canada, and the U.K. For example, when users interact with a Pin, an animated glow will provide insights into what exactly appeals to them about the selected item, leveraging Visual Language Models (VLMs), a form of generative AI.
These enhancements position Pinterest similarly to Google’s multimodal search, which merges text and imagery for search queries. However, Pinterest’s approach focuses on assisting users by generating descriptive terms to refine their search queries. While the company claimed to employ “industry-leading” multimodal embedding models, specific details were not disclosed.
One notable update allows users to refine their fashion-related searches by seeking alternatives in different colours, styles, or fabrics. For instance, users can search for items that fit a particular aesthetic, such as “Y2K,” or find similar options to a blazer for formal occasions.
Additionally, Pinterest plans to broaden this visual search functionality, enabling users to initiate a search by long-pressing any Pin on their Home Feed. This move illustrates the platform’s commitment to making visual discovery a seamless experience for its users.
This announcement also comes in response to user concerns regarding the increasing presence of AI-generated images on the platform. Pinterest intends to implement measures to label AI-generated content and allow users to limit the exposure to such images to maintain the authenticity of inspiring visuals.
Through these improvements, Pinterest aims to reinforce its position as a valuable visual shopping tool that efficiently utilises AI while preserving genuine user experiences.
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