Automate CV Parsing and Application Management with AI
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Streamline your hiring process by automatically extracting key information from CVs using AI. This workflow captures CVs submitted through a user-friendly form, parses essential details, and saves them to Airtable for efficient management.
About This Workflow
This n8n workflow revolutionizes the initial stages of the job application process. It begins with a simple web form that allows candidates to upload their CVs and provide basic contact information. Once submitted, the workflow automatically extracts the CV file, leverages OpenAI's powerful language models to parse crucial data such as Name, Address, Email, Telephone, Education, Skills, and Years of Experience, and even generates a preliminary cover letter. All extracted information is then meticulously organized and stored in an Airtable database, providing recruiters with a structured and easily searchable repository of candidate information. This significantly reduces manual data entry and speeds up the screening process.
Key Features
- User-Friendly CV Submission: Collects CVs via a customizable web form with essential fields.
- AI-Powered Data Extraction: Utilizes OpenAI to intelligently parse CVs and extract structured candidate information.
- Automated Cover Letter Generation: Generates a draft cover letter based on the extracted CV data.
- Seamless Airtable Integration: Automatically saves all parsed candidate data into a dedicated Airtable base.
- Efficient Data Management: Provides a structured and searchable database for recruiter review.
How To Use
- Configure the Form Trigger: Customize the 'Step 1 of 2 - Upload CV' node with your company's branding, form fields, and description. Ensure the 'File Upload' field is set to accept PDF files.
- Set up CV Extraction: Connect the form trigger to the 'Extract from File' node. Ensure the
binaryPropertyNamematches the name of your file upload field in the form. - Configure OpenAI Nodes: Connect the 'Extract from File' node to 'OpenAI Chat Model2'. Configure the prompt to instruct the AI on how to extract the required information from the CV. Connect this to the 'Structured Output Parser' node and define your desired JSON schema for the extracted data (as provided in the snippet).
- Integrate with Airtable: Connect the 'Structured Output Parser' to the 'Save to Airtable' node. Configure your Airtable base and table credentials, and map the extracted JSON fields to your Airtable columns using expressions.
Apps Used
Workflow JSON
{
"id": "0caabf26-cc4a-41f2-be8e-117ba291d109",
"name": "Automate CV Parsing and Application Management with AI",
"nodes": 19,
"category": "Operations",
"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: 0caabf26-cc4a...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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