# FAQs #### **How does the app generate tags, alt text, and meta data?** Reactify AI is powered by Pixyle AI, a visual AI technology that uses advanced machine learning algorithms to analyse and interpret the visual characteristics of product images to generate accurate data. #### **How does the app handle product variations?** If a product has multiple variants, you can choose which images to scan, enabling you to select only the relevant images to be processed. The app can generate unique tags and metadata for each variation of the same product (e.g., different colours or sizes). #### **Can the app optimise products for search engines?** Yes, we help optimise your product listings for multiple search engines. These include fields for product tags, image alt text and meta data. By carefully crafting these fields to include relevant and specific keywords, your product listings will gain more visibility in search engine results pages. #### **Can I preview and approve the results?** Yes, the app gives you control over your products by allowing you to preview and approve the results before they are applied to your products. This helps to ensure the accuracy and relevance of your product catalogue. #### **What is the limit on image processing per month?** None, all processing is based on our simple usage based pricing, pay for only what you use and calculate total costs before you start. #### **How long does take to analyse products?** It takes up to 1 second per product. Once a job is created, a progress bar will appear which helps you keep track of the % status of the job. For 100 images, the analysis should take less than 2 minutes #### **What type of products can the app scan?** Reactify Image AI only recognises fashion/apparel products at this time. We will eventually expand our app to recognise more categories such as footwear. Join our newsletter to stay up-to-date. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://image-ai.guides.reactify.com.au/troubleshooting/faqs.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.