Filter and sort through our extensive collection of AI tools to find exactly what you need.
VisualHound is General-purpose generative image and/or video engine often used by fashion teams. It is used by designers, merchandisers, and ecommerce teams who need to move faster from idea to market without sacrificing visual quality. Through an intuitive interface, users can experiment with new looks, iterate on collections, and generate production or campaign assets in a fraction of the time it would take with purely manual workflows. Transform written prompts and reference images into campaign visuals, concept art, and lookbook-ready creative content. The platform sits alongside tools such as PLM, 3D CAD, and creative suites, so brands can plug it into existing pipelines rather than rebuilding from scratch. While exact capabilities and pricing change over time, the focus of VisualHound remains helping fashion teams work more creatively, efficiently, and data‑informed.
Mojoreads is an AI-powered fashion design and trend analysis platform that helps designers, brands, and retailers create and validate new clothing concepts. It leverages generative AI to produce original fashion designs, patterns, and style recommendations based on textual prompts, reference images, or current market trends. The tool is designed to accelerate the creative process, reduce time-to-market, and provide data-driven insights into consumer preferences. Users can generate mood boards, technical sketches, and fabric simulations, making it valuable for both independent designers and larger fashion houses looking to innovate. By analyzing vast amounts of visual and social media data, Mojoreads identifies emerging trends, predicts what styles will resonate with target audiences, and assists in creating cohesive collections. It serves as a collaborative workspace where teams can iterate on designs, gather feedback, and streamline the transition from concept to production-ready assets.
Pureple is an AI-powered outfit planner and closet organizer designed to solve the classic problem of having a full wardrobe but “nothing to wear.” Users digitize their clothes, and the app automatically suggests outfits based on personal preferences, weather, and occasion. Pureple focuses on speed and convenience with auto-categorization, bulk editing, and the ability to import items from the web, making it easy to create a virtual closet in less time. The app is free, cross-platform, and oriented toward everyday users who want smart, easy outfit suggestions that help them get more value from the clothes they already own.
StyleSnap is Amazon's AI-powered fashion discovery tool that allows users to find clothing and accessories by uploading photos or screenshots of outfits they like. The technology uses computer vision and machine learning to analyze the visual elements of an image—including colors, patterns, silhouettes, and styles—and then matches those elements to similar products available for purchase on Amazon. It's designed for shoppers who see an outfit in real life, on social media, or in digital media and want to quickly find and buy comparable items without needing to describe them with keywords. The tool is integrated directly into the Amazon Shopping app, making it a seamless part of the mobile shopping experience. It addresses the problem of 'I like this, but how do I find it?' by translating visual inspiration into shoppable results. The service is positioned as a personal stylist and discovery engine, helping users bridge the gap between inspiration and purchase while driving engagement and sales for Amazon's fashion marketplace.
MFFashion is an AI-powered fashion design platform that enables designers, brands, and fashion enthusiasts to create, visualize, and iterate on clothing designs using artificial intelligence. The tool leverages generative AI models to transform text descriptions, sketches, or reference images into realistic fashion designs, helping users explore creative concepts rapidly without traditional manual drawing skills. It serves fashion professionals, independent designers, and retailers who need to accelerate their design process, generate mood boards, and create visual prototypes for collections. By automating aspects of the design workflow, MFFashion reduces time-to-market and allows for greater experimentation with styles, patterns, and silhouettes. The platform is positioned as a bridge between creative vision and digital execution in the fast-paced fashion industry, offering tools for both conceptual exploration and practical design refinement.
Metail is an AI-powered fashion technology platform that specializes in creating accurate virtual try-on experiences and personalized body models for online shoppers. The company's core technology uses computer vision and machine learning to generate realistic 3D avatars from just two photos, allowing customers to see how clothing will fit their unique body shape before purchasing. Originally founded as a B2C virtual fitting room, Metail has evolved into a B2B solution that helps fashion retailers reduce returns, increase conversion rates, and improve customer engagement. The platform serves major fashion brands and retailers by integrating virtual fitting technology into their e-commerce websites and mobile apps. Metail's technology addresses the significant problem of sizing uncertainty in online fashion shopping, which leads to high return rates and customer dissatisfaction. By providing personalized fit recommendations and realistic garment visualization, the platform helps bridge the gap between physical and digital shopping experiences.
FashionAI by Ricoh is an artificial intelligence solution specifically designed for the fashion retail industry, leveraging computer vision and machine learning technologies to transform traditional retail operations. The platform analyzes visual data from physical stores to provide actionable insights about customer behavior, product performance, and store operations. It helps retailers understand how customers interact with merchandise, which items attract the most attention, and how display arrangements affect sales. The system uses cameras and sensors to track customer movements, dwell times, and engagement patterns without personally identifying individuals. Retailers can use these insights to optimize store layouts, improve product placement, enhance visual merchandising, and increase conversion rates. The technology addresses key challenges in physical retail by providing data-driven decision-making tools that were previously only available in e-commerce environments. FashionAI represents Ricoh's move into smart retail solutions that bridge the gap between physical and digital shopping experiences.
Fashionista AI is an artificial intelligence platform designed specifically for the fashion industry, enabling designers, brands, and fashion enthusiasts to create, visualize, and iterate on clothing designs using generative AI. The tool transforms text descriptions and basic sketches into detailed, professional fashion illustrations and technical drawings. It serves fashion designers seeking rapid prototyping, brands looking to streamline their design process, and retailers wanting to visualize products before manufacturing. By leveraging advanced image generation models fine-tuned on fashion datasets, Fashionista AI helps reduce the time from concept to visual representation from days to minutes. The platform addresses key industry challenges including design iteration speed, visualization accuracy, and the ability to explore multiple creative directions without extensive manual drawing. Users can generate complete outfits, individual garments, accessories, and even textile patterns, making it valuable for both established fashion houses and independent designers working with limited resources.
FashionAI by Alibaba is an artificial intelligence platform specifically designed for the fashion industry, leveraging Alibaba's extensive e-commerce data and computer vision technologies. The platform helps fashion designers, retailers, and manufacturers streamline their design processes, predict trends, and optimize product offerings. It analyzes vast amounts of fashion data including images, trends, and consumer preferences to generate design recommendations and insights. The system uses deep learning algorithms to understand fashion elements like colors, patterns, silhouettes, and materials, enabling users to create data-driven designs that align with market demands. FashionAI serves as a bridge between creative design and commercial viability, helping fashion businesses reduce design cycles, minimize risks, and increase the success rate of new collections. The platform is particularly valuable for brands operating on Alibaba's e-commerce ecosystems like Tmall and Taobao, where it can directly connect design decisions with sales performance data.
FashionAI Works is an AI-powered fashion design platform that enables designers, brands, and fashion enthusiasts to create, visualize, and iterate on clothing designs using artificial intelligence. The tool leverages generative AI models to transform text prompts, sketches, and reference images into detailed fashion designs, technical flats, and realistic product visualizations. It serves fashion designers, apparel brands, merchandisers, and creative professionals who need to accelerate their design process, explore creative concepts, and reduce time-to-market. The platform addresses challenges in traditional fashion design workflows, including lengthy manual sketching, limited creative exploration, and high costs associated with physical prototyping. By providing AI-assisted design capabilities, FashionAI Works helps users generate diverse design variations, maintain brand consistency, and streamline the transition from concept to production-ready specifications. The tool is positioned as a bridge between creative inspiration and technical execution in the fashion industry.
FashionTech AI is an artificial intelligence platform specifically designed for the fashion industry, providing tools that assist designers, brands, and retailers in creating, visualizing, and optimizing fashion designs. The platform leverages generative AI models to transform text prompts and basic sketches into detailed, production-ready fashion designs, patterns, and technical specifications. It serves fashion professionals by accelerating the design process, reducing time from concept to prototype, and enabling rapid iteration of creative ideas. The tool addresses common industry challenges including design fatigue, limited creative resources, and the need for sustainable design practices through virtual prototyping. Users can generate complete collections, experiment with different fabrics and styles, and create technical flats and specification sheets automatically. The platform is positioned as a collaborative tool that enhances human creativity rather than replacing designers, making advanced AI accessible to fashion houses of all sizes from independent designers to large brands.
FashionUnited is a comprehensive global platform serving the fashion industry, primarily functioning as a business-to-business (B2B) hub rather than a consumer-facing AI design tool. It operates as a multi-faceted resource combining industry news, job listings, business directories, market intelligence, and educational content. The platform connects professionals across the fashion value chain, including designers, retailers, manufacturers, recruiters, and brands. It provides critical insights into market trends, retail developments, and economic factors affecting the fashion sector globally. While not an AI design application in the traditional sense, it serves as an essential intelligence and networking platform that supports decision-making and business operations within the fashion industry. Its value lies in aggregating and disseminating specialized information that is otherwise fragmented across various sources, helping professionals stay informed and connected in a fast-moving industry.
FashionTool is an AI-powered platform designed specifically for fashion designers, brands, and creative professionals to streamline the fashion design process. The tool leverages advanced machine learning models to generate clothing designs, patterns, and style recommendations based on text prompts, reference images, or specific parameters. Users can create complete fashion collections, experiment with different fabrics and colors, and visualize designs in various contexts without needing extensive manual drawing skills. The platform serves both independent designers looking to accelerate their creative workflow and larger fashion houses seeking to prototype concepts rapidly. It addresses key industry challenges including time-consuming manual design processes, the need for rapid iteration, and the exploration of creative possibilities before physical production. FashionTool positions itself as a bridge between traditional fashion design and cutting-edge AI technology, enabling users to translate ideas into visual concepts efficiently while maintaining creative control over the final output.
Fashion Tech Month is a global event series and digital platform that connects fashion industry professionals with technology innovators. It serves as a comprehensive ecosystem bringing together designers, brands, retailers, tech startups, investors, and educators to explore the intersection of fashion and technology. The platform focuses on showcasing cutting-edge technologies including AI-powered design tools, sustainable manufacturing solutions, digital fashion, virtual try-ons, blockchain for supply chain transparency, and smart textiles. Through a combination of physical events, virtual conferences, workshops, and networking opportunities, Fashion Tech Month facilitates knowledge exchange, business partnerships, and industry transformation. It addresses the fashion industry's need for digital transformation by providing a curated environment where traditional fashion businesses can discover and adopt technological solutions. The platform helps bridge the gap between fashion creatives and tech developers, accelerating innovation across design, production, retail, and sustainability. Participants gain access to emerging trends, practical implementations, and collaborative opportunities that drive the future of fashion.
Fashion-Anomaly-Detection is an open-source research project focused on detecting anomalies in fashion images using advanced computer vision techniques. Developed by researcher Zhixuan Lin, this tool addresses quality control challenges in fashion e-commerce, manufacturing, and retail by identifying defects, inconsistencies, and irregularities in clothing items. The system leverages deep learning models trained on fashion datasets to recognize patterns and flag deviations from normal garment appearances. It's designed for researchers, data scientists, and fashion tech companies who need automated quality assurance solutions. The project implements state-of-the-art anomaly detection algorithms specifically adapted for fashion domain challenges, including texture variations, pattern irregularities, and manufacturing defects. Unlike generic anomaly detection systems, it incorporates fashion-specific knowledge about garment structures, materials, and common defect types. The tool can process various fashion item categories including shirts, dresses, pants, and accessories, making it versatile for different applications in the fashion industry.
Fashion Tech News is a digital media platform and online publication dedicated to covering the intersection of fashion, technology, and innovation. It serves as a central news hub for industry professionals, entrepreneurs, investors, and enthusiasts, providing daily updates, in-depth analysis, and feature articles on emerging trends. The platform reports on a wide range of topics including wearable technology, sustainable fashion tech, AI in design and retail, e-commerce innovations, smart textiles, virtual fashion, the metaverse, and startup funding rounds within the fashion tech ecosystem. It functions primarily as a content-driven website, aggregating and producing original journalism to inform its audience about the latest developments, product launches, and business strategies shaping the future of fashion. Users visit the site to stay informed, conduct market research, find investment opportunities, and gain insights into competitive landscapes. It solves the problem of information fragmentation in a fast-moving niche by providing a curated, dedicated stream of news.
Fashion Diffusion is an all-in-one AI fashion design platform that turns ideas, prompts, and sketches into detailed fashion visuals. Designers can generate garments from text descriptions, upload hand sketches for AI rendering, apply realistic fabrics and textures, and preview outfits on AI models or virtual try-on scenes. Instead of juggling multiple tools for moodboards, sketching, rendering, and fabric visualization, Fashion Diffusion centralizes the workflow in a browser-based studio. Its modules such as Text-to-Sketch, Sketch-to-Render, Apply Fabric, and Style Fusion help brands explore more concepts in less time, validate collections visually before sampling, and produce e-commerce-ready imagery without full photo shoots. The focus is speed, creative control, and practical utility for working fashion teams.
Lectra Modaris is a professional-grade pattern making and 3D prototyping software suite designed for the fashion and apparel industry. It serves fashion brands, manufacturers, and pattern makers by providing advanced tools for creating, grading, and visualizing patterns in both 2D and 3D environments. The platform addresses critical industry needs for precision pattern development, efficient grading across multiple sizes, and accurate virtual prototyping. Modaris enables users to transform 2D patterns into realistic 3D simulations to check fit and design details before physical sampling. As part of Lectra's comprehensive fashion technology ecosystem, it integrates with other solutions for cutting, product lifecycle management, and manufacturing, making it particularly valuable for medium to large enterprises seeking end-to-end digital workflows from design to production.
Heuritech is an AI-powered trend forecasting and market intelligence platform specifically designed for the fashion and luxury industries. It analyzes millions of social media images and fashion content daily to identify emerging trends, predict their evolution, and quantify their market potential. The platform serves fashion brands, retailers, and designers by transforming vast amounts of visual data into actionable insights about colors, materials, silhouettes, and styles gaining traction. Using advanced computer vision and machine learning algorithms, Heuritech decodes visual signals from platforms like Instagram, TikTok, and Pinterest to provide data-driven forecasts up to two years ahead. This enables fashion companies to make informed design, production, and merchandising decisions, reducing risks associated with trend adoption and helping them stay ahead in fast-moving markets while optimizing inventory planning.
AI Fashion Designer is a specialized artificial intelligence platform that enables fashion designers, brands, and creative professionals to generate original clothing designs, patterns, and fashion concepts using text prompts and visual inputs. The tool leverages advanced generative AI models to create detailed fashion illustrations, technical sketches, and complete outfit compositions. Users can specify styles, fabrics, colors, and design elements through natural language descriptions, and the AI produces professional-quality fashion visuals. The platform serves independent designers seeking inspiration, fashion brands accelerating their design process, e-commerce retailers creating product visuals, and educators teaching fashion design concepts. It addresses the need for rapid prototyping, reduces the time from concept to visual representation, and provides accessible design capabilities for those without extensive technical drawing skills. The tool positions itself as a collaborative partner for fashion creatives, blending human creativity with AI-powered execution to expand design possibilities and streamline workflow.
Nextatlas is an AI-powered trend forecasting and market intelligence platform specifically designed for the fashion, retail, and consumer goods industries. It analyzes vast amounts of unstructured data from social media, e-commerce sites, news, and visual content to identify emerging trends, consumer behaviors, and market shifts before they become mainstream. The platform uses machine learning and natural language processing to detect patterns and signals, providing brands, designers, and retailers with actionable insights to inform product development, marketing strategies, and inventory decisions. By predicting what consumers will want next, Nextatlas helps companies reduce risk, capitalize on emerging opportunities, and stay ahead of competitors in fast-moving markets. It serves as a digital crystal ball, transforming raw online data into strategic foresight for creative and commercial teams.
Resleeve AI is a fashion-focused image generation and product photography platform. It allows brands to create high-quality on-model photos, ghost mannequin shots, and campaign visuals without traditional photoshoots. Users upload garment images or flat lays, pick AI fashion models that match their target audience, and generate consistent imagery across sizes, poses, and backgrounds. Resleeve is designed specifically for fashion and apparel, so it handles drape, fit, and styling more reliably than generic image tools. E‑commerce teams, DTC brands, and marketplaces use Resleeve to dramatically reduce the time and cost of content production while keeping imagery brand-aligned and conversion-ready.
Flo is an AI-powered health and period tracking app designed to empower women by monitoring menstrual cycles, ovulation, pregnancy, and overall reproductive health. Founded in 2015, it uses machine learning to provide personalized insights, predictions, and recommendations based on user data. The app includes features for tracking symptoms, moods, physical activities, and other health metrics, with encrypted data storage to ensure privacy and compliance with health regulations like HIPAA. Flo offers educational content curated by medical professionals, community support forums, and tools for fertility awareness and family planning. With millions of users worldwide, it combines scientific accuracy with a user-friendly interface to serve as a comprehensive health companion, helping women understand their bodies and make informed decisions about their wellness.
SEDDI Textura is 3D garment visualization and digital pattern environment for technical fashion work. It is used by designers, merchandisers, and ecommerce teams who need to move faster from idea to market without sacrificing visual quality. Through an intuitive interface, users can experiment with new looks, iterate on collections, and generate production or campaign assets in a fraction of the time it would take with purely manual workflows. Draft or import patterns, assign digital fabrics, and simulate drape, motion, and fit before cutting any fabric. The platform sits alongside tools such as PLM, 3D CAD, and creative suites, so brands can plug it into existing pipelines rather than rebuilding from scratch. While exact capabilities and pricing change over time, the focus of SEDDI Textura remains helping fashion teams work more creatively, efficiently, and data‑informed.
