Automated Extraction & Management of Logo Assets in Airtable

This n8n workflow is designed to streamline the process of uploading, extracting, and managing logo sheet data within Airtable. It starts with a user submitting a form containing an image of a logo sheet — a graphic showcasing multiple logos or tools. The workflow then uses AI-powered vision capabilities to analyze the image, extracting individual product names and attributes. These insights are parsed and structured into a format compatible with Airtable, where new tools and attributes are created if they don’t already exist, utilizing unique hashes to identify entries. The process also maps and links similar tools, facilitating a comprehensive database of logos and their related tools with detailed attributes. This automation is ideal for marketing teams, design agencies, or product managers looking to automate visual data entry, maintain an organized visual asset library, and enhance their product/tool cataloging processes.