Parse CVs from Emails with OCR & GPT for Notion Database

This n8n workflow revolutionizes HR processes by automatically detecting new emails in Gmail containing PDF CV attachments. Upon receipt, it downloads the PDF, applies OCR via OCR Space API to extract readable text from scanned documents, and leverages ChatGPT (GPT-4.1-Nano) to intelligently parse and structure key candidate information such as name, experience, skills, education, and contact details.

The structured data is then seamlessly integrated into a Notion database, either creating new entries or updating existing ones based on unique identifiers. This eliminates manual data entry, reduces errors, and accelerates recruitment pipelines. Benefits include significant time savings for recruiters, scalable handling of high-volume applications, and centralized candidate data management.

Ideal use cases include recruitment agencies, HR teams in growing companies, and talent acquisition for tech firms. Customize by swapping Notion for PostgreSQL or adjusting GPT prompts for specific fields. Requires Gmail, OpenAI, OCR Space, and Notion credentials for full functionality.