CV Screening with OpenAI: Automate Resume Analysis
Automates CV screening by extracting text from PDFs/DOCs, analyzing against job descriptions with OpenAI, and generating matching scores and insights.
This workflow streamlines the recruitment process for HR professionals and agencies by automating initial CV screening. It downloads resumes from links like Supabase or Dropbox, extracts text from PDF or DOC files, and uses OpenAI to evaluate candidates against job requirements. Outputs include a matching score, suitability summary, strengths/weaknesses, and actionable insights.
Key benefits include significant time savings on manual reviews, reduced human bias for objective evaluations, and efficient filtering of high-volume applications. Ideal for handling large applicant pools, it improves hiring efficiency and candidate quality.
Use cases: Recruitment agencies screening hundreds of CVs daily, HR teams in SMEs or enterprises, and hiring managers needing quick shortlists. Setup requires N8N and OpenAI accounts; upload CVs to compatible storage for seamless integration.
The workflow provides a video guide for easy implementation, ensuring quick deployment and customization for specific job roles.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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