Automate Logo Sheet Analysis: Extract AI Tool Data to Airtable with AI
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Instantly extract AI tool names, attributes, and similar tools from logo sheets. Automate data entry into Airtable for growth hacking and market analysis.
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About This Workflow
How it works
This workflow leverages n8n's form trigger to accept image uploads of logo sheets. An AI Agent then analyzes the image, identifying and extracting information about various AI tools, their attributes, and potential similar tools. The extracted data is then structured using a JSON schema and processed to check for existing attributes in Airtable. New tools and their associations are then created or updated in Airtable, creating a comprehensive database of AI tools and their characteristics.
Key Features
- Image-based AI tool data extraction
- Automatic attribute and similarity detection
- Structured data output via JSON schema
- Seamless integration with Airtable for data storage
- Deduplication of tools and attributes
How To Use
- Set up the Form Trigger: Configure the
On form submissionnode with a descriptive title (e.g., 'AI Logo Sheet Feeder') and set the path (e.g., 'logo-sheet-feeder'). Add the necessary form fields, including a required 'The Logo-Sheet as Image' (file type) and an optional 'Addional Prompt'. - Configure the AI Agent: In the
Retrieve and Parser Agentnode, define thesystemMessageto guide the AI in extracting tool names, attributes, and similarities as per the provided JSON structure. EnsurepassthroughBinaryImagesis enabled. - Structure the Output: Connect the AI Agent to the
JSON itnode to prepare the output for parsing. Then, use theStructured Output Parsernode and provide thejsonSchemaExamplefor the AI's structured output. - Manage Attributes in Airtable: Connect the
Split Out Toolsnode to process each tool individually. Use theCheck if Attribute existsnode to query your 'Attributes' table in Airtable for existing attributes. TheLoop Over AttributesandAll Attributesnodes help in preparing the attribute data. TheChange each Attribute to the corresponding RecIDnode maps attribute strings to their Airtable IDs. - Create/Update Tools in Airtable: The
Create if not Existnode in the 'Tools' table upserts tools based on a generated hash of their name. This ensures that duplicate tools are not created. Use theOnly what we neednode to filter and prepare the data for attribute and similarity mapping. - Update Tool Attributes and Similarities: The
Determine Attributes we should savenode intelligently adds new attribute IDs to existing ones. TheSplit Out similarnode processes similar tools, andGenerate Unique Hash for Similarcreates hashes for them to check existence in Airtable. Finally, theUpdate Toolnode (implicitly handled by the upsert inea8f7e6f-9004-4271-80d3-333701cce488and subsequent logic not fully shown in the snippet) should update the tool's attributes and similar references.
Apps Used
Workflow JSON
{
"id": "ad512e08-b2c6-466c-9bf2-12fbdf4bfb65",
"name": "Automate Logo Sheet Analysis: Extract AI Tool Data to Airtable with AI",
"nodes": 0,
"category": "AI & LLM",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: ad512e08-b2c6...
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