Product DIY is an AI-driven tool designed to transform casual product photographs into professional, ad-ready images for e-commerce use. The primary function of the application is to eliminate the need for traditional photography or design services by using artificial intelligence to automatically enhance product visuals. Users can upload a simple photo of an item, and the AI generates a polished image suitable for advertising, complete with appropriate scenes, compositions, and model try-ons. The tool offers several specific capabilities. It includes a virtual try-on feature that allows users to upload a flat-lay garment photo and generate results showing the item on different models. A scene swap function enables the AI to automatically identify the product type and match it with the most suitable background and composition. Additionally, the application can translate text within product images to a target language while preserving the original design, supporting nine languages including English, Chinese, Malay, Japanese, Korean, and Thai. It is built to work with a wide range of product categories, from skincare and fashion to electronics and home goods. Typical use cases for Product DIY involve e-commerce sellers who need high-quality product visuals for various online marketplaces. The workflow is straightforward: a user takes or selects a casual photo of their product, uploads it to the application, and the AI processes the image to produce a professional result. This process is designed to be completed in approximately 30 seconds, replacing the time and cost associated with hiring a photographer, booking a model try-on photoshoot, or finding a designer. The generated images are intended for use on platforms such as Shopee, Lazada, TikTok Shop, and Shopify. The application operates as a web-based service, accessible through its website at product-diy.com. No specific hardware or software installation is required beyond a standard internet connection and a device capable of uploading images. The tool focuses on automating the visual production process for e-commerce, aiming to reduce the cost and effort typically involved in creating professional advertising materials.