List of the Top 11 Visual Search Software for Windows in 2025

Clarifai stands out as a prominent AI platform adept at processing image, video, text, and audio data on a large scale. By integrating computer vision, natural language processing, and audio recognition, our platform serves as a robust foundation for developing superior, quicker, and more powerful AI applications. We empower both enterprises and public sector entities to convert their data into meaningful insights. Our innovative technology spans various sectors, including Defense, Retail, Manufacturing, and Media and Entertainment, among others. We assist our clients in crafting cutting-edge AI solutions tailored for applications such as visual search, content moderation, aerial surveillance, visual inspection, and intelligent document analysis. Established in 2013 by Matt Zeiler, Ph.D., Clarifai has consistently been a frontrunner in the realm of computer vision AI, earning recognition by clinching the top five positions in image classification at the prestigious 2013 ImageNet Challenge. With its headquarters located in Delaware, Clarifai continues to drive advancements in AI, supporting a wide array of industries in their digital transformation journeys.

Imagine the future of image recognition software powered by Imagga's API, which elevates intelligent applications through flexible machine learning solutions. Our advanced technology enables automatic tagging of images, creating a strong API for in-depth image analysis and exploration. This feature greatly enhances product visibility within your applications, paving the way for sophisticated visual search capabilities. Furthermore, you can incorporate facial recognition functionalities in your applications using our robust API designed specifically for face detection. Tailor our image AI to categorize and arrange your photos into customized groups, enabling effortless automatic organization of your visual content. Enjoy swift image classification with our highly efficient API, alongside automated moderation of adult content, which utilizes state-of-the-art image recognition technology. Effortlessly improve your visual assets by producing eye-catching thumbnails and employing our API for smart cropping that is sensitive to content. Lastly, breathe life into your product images through color extraction, thanks to our versatile API, ensuring your offerings are presented in a lively and engaging manner. This extensive collection of tools empowers developers to completely reshape the way users engage with images within their applications, ultimately enhancing user experience and satisfaction. As a result, businesses can leverage these innovations to stay ahead in an increasingly visual world.

Whether your goal is to boost spare parts sales, enhance support for your parts desk and hotline team, or improve maintenance efficiency, Partium has you covered. Partium serves as a versatile, AI-enhanced Enterprise Part Search solution. It simplifies the process for users in maintenance and after-sales service sectors to locate parts across various platforms, including spare parts portals, online shops, and maintenance systems. Technicians can perform searches using images, text, filters, bills of materials, and tags, while hotline agents can verify the accuracy of search results and engage directly with users. Additionally, Partium provides valuable insights into user search behaviors. With millions of spare part searches processed each month, Partium is trusted by a range of prominent companies, including Caterpillar, Parker, Liebherr, Deutsche Bahn, New Holland, The Home Depot, ENGEL, and Wien Energie. These organizations leverage Partium not only to deliver an exceptional search experience for their employees and customers but also to achieve higher conversion rates through its relevance, precision, and user-friendly design. By utilizing Partium, companies can significantly streamline their spare parts management and improve overall operational efficiency.

The VGG Image Search Engine (VISE) serves as an open-source tool that allows users to conduct visual searches across vast collections of images by using specific image regions as search queries. Developed and maintained by the Visual Geometry Group (VGG) at the University of Oxford's Department of Engineering Science, this software is released under a license that supports unrestricted use in both academic and commercial settings. To promote a vibrant open-source community surrounding VISE, we welcome contributions and encourage active involvement in its ongoing enhancement. Contributors can participate by reporting bugs, improving documentation, adding new features, or making refinements through merge requests. The Visual Geometry Group is dedicated to the ongoing development, upkeep, and support of VISE at least until November 2025, ensuring its relevance and utility. Additionally, users are invited to submit their inquiries or report any issues they face with the VISE software through our GitLab issues portal, facilitating a collaborative effort to strengthen the platform further and enhance user experience. This collective engagement not only enriches the project but also cultivates a sense of community among users and developers alike.

The Digimarc Discover application streamlines and speeds up the barcode scanning experience. Users can easily scan not only Digimarc Barcodes but also a variety of common retail barcodes, obtaining instant information both in stores and while on the go. This app is available at no cost on mobile devices, compatible with both iOS and Android platforms, and it supports an array of codes, including Digimarc Barcode, DWCODE™, QR Codes, and numerous traditional retail barcodes. By utilizing our Mobile SDK, Digimarc Discover effectively connects consumers with store associates, directing them to content created by brands. The innovative scanning technology utilized in the app, powered by the Digimarc Mobile SDK, is celebrated for its adaptability and high performance. Development kits tailored for Apple iOS, Google Android, and Microsoft Windows 10 bolster the scanning efficiency of the most commonly used retail barcodes. Additionally, the app features an expansive camera view that enhances scanning flexibility and incorporates a small badge on each card to signify the type of code scanned. Users further benefit from the ability to conveniently access their previous scans via the app's activity section, promoting quick retrieval of previously scanned items and enriching the overall user experience. This functionality not only helps users keep track of their scans but also encourages more informed purchasing decisions.

IMATAG provides robust protection for your visual content online, including brand and product images, licensed materials, and confidential files. Utilizing its patented Invisible Watermark technology, IMATAG offers two distinct solutions: IMATAG Leaks, which is the pioneering tool for detecting photo or video leaks, and IMATAG MONITOR, known for its reliability in tracking the online usage of your visual assets. The software embeds an imperceptible identifier within each pixel of images and videos, enabling you to identify your content regardless of alterations such as resizing, cropping, or sharing on social media. Additionally, it serves as a means to trace the origin of any leaks, ensuring that your content remains secure. IMATAG supports various formats, including photographs, renders, videos, and PDFs, and is available as a Software as a Service (SaaS) via API or Web UI, or as a traditional on-premise installation. With these features, IMATAG not only safeguards your content but also enhances your ability to monitor its use across different platforms effectively.

We simplify the integration of advanced computer vision capabilities into your applications, devices, and workflows, allowing you to secure a formidable advantage over your competitors. By doing so, you'll transform how you operate and enhance your overall efficiency.

Voxel51 leads the development of FiftyOne, an open-source toolkit aimed at improving computer vision workflows by enhancing the quality of datasets and offering insights into model performance. FiftyOne allows users to delve into, search, and segment their datasets, making it easy to find samples and labels tailored to their requirements. The toolkit integrates smoothly with well-known public datasets like COCO, Open Images, and ActivityNet, while also providing the option to build custom datasets from scratch. Acknowledging that the quality of data is vital for optimal model performance, FiftyOne enables users to identify, visualize, and address the shortcomings of their models effectively. While manually finding annotation errors can be a time-consuming task, FiftyOne simplifies this by automatically identifying and rectifying label mistakes, thus ensuring the creation of high-quality datasets. Furthermore, conventional performance metrics and manual debugging techniques may not scale effectively, which is where the FiftyOne Brain becomes essential, helping users identify edge cases, mine new training samples, and access various advanced features designed to elevate their workflows. Additionally, this sophisticated toolkit not only streamlines the management of datasets but also encourages a more efficient approach to enhancing computer vision projects overall. Ultimately, FiftyOne transforms the landscape of computer vision by providing a robust platform for dataset curation and model optimization.

LTU delivers a robust solution for image and object processing that is specifically designed to fulfill the distinct needs of your organization. Their all-in-one SaaS platform is flexible and open, enabling sophisticated visual recognition features. This online service includes an assortment of tools such as matching, color palette exploration, and an imminent metadata search function. In contrast to conventional techniques that depend on Deep Learning, LTU employs a "unique signature" derived from the visual characteristics of images or objects, which allows for effective computer vision applications. Users can access a broad spectrum of visual search options seamlessly through this customizable web service. Additionally, LTU's platform incorporates proprietary algorithms and the potential to integrate third-party technologies, making the visual search experience tailored to your specific requirements. The design also facilitates easy comparison and tracking of alterations, boasting a high level of configurability to meet your individual use cases. Ultimately, LTU's offering is distinguished by its capacity to deliver personalized and efficient visual processing solutions, ensuring that businesses can address their specific challenges effectively. With such a versatile platform, companies can expect an enhancement in their visual data management capabilities.

Empower your clients to easily find parts or products by simply taking a photo or using an image. Provide your quoting engineers with the functionality to upload a variety of visual inputs, including photographs, hand-drawn sketches, 2D blueprints, or 3D representations, enabling them to uncover similar components they have previously quoted. This feature allows your engineers to tap into existing design data, resulting in a quicker and more effective response to customer requests. Unlike other systems that merely categorize items, VizSeek accurately identifies the specific product within its designated category. It also facilitates shape searches across a range of file formats, enabling users to search for 3D models based on images or 2D drawings, in contrast to other platforms that limit searches to either image-to-image or 3D model comparisons alone. As a SaaS solution, VizSeek provides cutting-edge and resource-intensive image and 3D model search APIs, all without incurring any infrastructure or maintenance expenses, making it an essential asset for businesses. This efficient method not only boosts productivity but also greatly enhances the overall satisfaction of customers, fostering long-term loyalty and trust in your services.

Jumper functions as an AI-driven search engine tailored for your video recordings, enabling you to identify specific moments by using natural language queries, which allows you to find and access any spoken word within the material. It operates fully offline, eliminating any reliance on cloud services and the necessity for uploads, thus keeping all data securely stored on your device. This feature makes Jumper particularly appealing for users who value both privacy and ease of use in managing their video content. Moreover, the offline capability ensures that your search experience remains unaffected by internet connectivity issues.