Automated CV Screening with OpenAI and n8n

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This workflow streamlines the recruitment process by automating the initial screening of resumes. When triggered manually, it downloads a candidate’s CV from a provided URL, extracts the text content from the PDF, and sends this data to OpenAI’s GPT model for detailed analysis. The AI generates a candidate suitability score, a brief summary, and insights on how well the candidate matches the job requirements. The results, including the candidate’s raw data and AI-generated insights, are stored in a database like Supabase for further processing. This workflow is ideal for HR teams, recruitment agencies, and organizations handling large volumes of applications, enabling faster, more consistent candidate evaluation and decision-making.

Node Count

11 – 20 Nodes

Nodes Used

extractFromFile, httpRequest, manualTrigger, set, stickyNote

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