AI-Driven Logo Sheet Data Extraction to Airtable

This n8n workflow automates the process of analyzing uploaded logo sheets containing multiple product images and attributes, extracting relevant information using AI capabilities, and systematically storing it in Airtable. The workflow begins with a form trigger that collects an image file and optional prompts. It then uses a LangChain agent with GPT-4 to interpret the image, extracting product names, attributes, and similarities. Extracted data is processed to check existing records in Airtable, creating new entries for tools, attributes, and similar tools as needed, with unique hashes serving as identifiers.

The workflow includes multiple steps for data parsing, attribute mapping, and relational linking to build a comprehensive database of tools and their attributes along with their competitors or similar tools. This automation streamlines the collection and organization of visual product data, making it ideal for managing large datasets of logos and product information in a structured online database, useful for product research, branding audits, or competitive analysis.