Resume Data Extraction from Emails to Supabase

This n8n workflow monitors a Gmail inbox for new emails containing resume attachments in formats like PDF, DOC, or DOCX. Upon detection, it downloads the files, uses OpenRouter-integrated AI models for intelligent parsing to extract structured data such as candidate name, contact details, education, work experience, and skills. The extracted data is then cleaned, formatted, and upserted into a Supabase database table for easy querying and management.

Ideal for recruiters and HR teams, it eliminates manual data entry, reduces hiring time, and ensures consistent data storage. Customizable fields allow adaptation to specific hiring needs, while secure integrations protect sensitive information.

Key benefits include scalability for high-volume recruiting, error reduction via AI accuracy, and seamless Supabase integration for analytics or CRM syncing. Setup requires Gmail API, Supabase credentials, and OpenRouter for AI, making it quick to deploy for talent acquisition automation.