AI Logo Sheet Extractor to Airtable
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This workflow extracts information about AI tools and their attributes from an image uploaded via a form, then stores this structured data in Airtable.
About This Workflow
The 'AI Logo Sheet Extractor to Airtable' workflow automates the process of gathering structured metadata about AI tools presented in an image. Users upload an image containing logos and comparative information about various AI tools. The workflow then uses AI (specifically, a Langchain agent) to parse this image, extract tool names, their attributes, and similar tools. This extracted information is then processed and stored in Airtable bases, ensuring data consistency and making it readily available for further analysis or use.
Key Features
- Form Submission Trigger: Initiates the workflow upon receiving an image and optional descriptive text.
- AI-Powered Extraction: Utilizes a Langchain agent to analyze images and extract structured data about AI tools.
- Attribute and Similarity Identification: Identifies key attributes and comparable tools for each extracted AI product.
- Airtable Integration: Seamlessly writes extracted and processed data into Airtable for persistent storage.
- Data Deduplication and Management: Employs hashing and upsert operations to manage existing records in Airtable, preventing data duplication.
How To Use
- Submit Image: Use the provided form to upload an image containing logos and information about AI tools.
- Add Optional Prompt: Provide additional context or specific questions about the image in the optional prompt field.
- Workflow Execution: The workflow will automatically process the image, extract information, and update Airtable.
Node Explanations:
- On form submission (n8n-nodes-base.formTrigger): The entry point of the workflow, triggered by a new form submission.
- Retrieve and Parser Agent (@n8n/n8n-nodes-langchain.agent): Uses an AI agent to analyze the image and extract tool names, attributes, and similar tools.
- Structured Output Parser (@n8n/n8n-nodes-langchain.outputParserStructured): Parses the AI agent's output into a structured JSON format.
- Loop Over Attributes (n8n-nodes-base.splitInBatches): Iterates through each extracted attribute.
- All Attributes (n8n-nodes-base.set): Collects all extracted attributes.
- Check if Attribute exists (n8n-nodes-base.airtable): Checks if an attribute already exists in the 'Attributes' table in Airtable.
- Change each Attribute to the corresponding RecID (n8n-nodes-base.code): Maps attribute names to their Airtable record IDs.
- Split Out each Attribute String (n8n-nodes-base.splitOut): Separates individual attribute strings.
- Create if not Exist (n8n-nodes-base.airtable): Creates a new tool entry in the 'Tools' table in Airtable if it doesn't already exist (based on a hash of the tool name).
- Determine Attributes we should save (n8n-nodes-base.code): Determines which attributes need to be added to an existing tool record.
- Split Out similar (n8n-nodes-base.splitOut): Separates individual similar tool names.
- It Should exists (n8n-nodes-base.airtable): Checks if a similar tool already exists in the 'Tools' table.
- Determine Similar we should save (n8n-nodes-base.code): Determines which similar tool IDs need to be added to an existing tool record.
- Save all this juicy data (n8n-nodes-base.airtable): Updates the 'Tools' table with the final list of attributes and similar tools.
Apps Used
Workflow JSON
{
"id": "31a2bc35-02a1-42ab-b893-b0fdab372cef",
"name": "AI Logo Sheet Extractor to Airtable",
"nodes": 12,
"category": "Data Enrichment",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 31a2bc35-02a1...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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