Parse CVs from emails with OCR & GPT for Notion database
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
Worth a look
- Gmail Trigger below v1.4 runs as v1.4 (drafts skipped, max emails per poll) (Gmail Trigger)
Nodes used (7)
- OpenAI
@n8n/n8n-nodes-langchain.openAi - HTTP Request
n8n-nodes-base.httpRequest - If
n8n-nodes-base.if - Gmail Trigger
n8n-nodes-base.gmailTrigger - Code
n8n-nodes-base.code - Edit Fields (Set)
n8n-nodes-base.set - Notion
n8n-nodes-base.notion
What it does
It allows you to automate candidate retrieval and onboarding in your HR processes. How it works - It monitors a Gmail address for new emails with a PDF attachment - It expects the PDF to be a candidate’s CV, extracts the text using OCR, and then structures the data using ChatGPT - Once the data is processed, it connects to Notion and adds (or updates) an entry in the specified database How to use - Configure your Gmail account and provide your ChatGPT API key - Provide an API key for the OCR service in a variable named OCRSPACEAPIKEY - Connect your Notion account - Once everything is configured, the workflow will monitor your inbox for new emails. Just send an email with a PDF attachment to the configured address Requirements - In addition to Gmail, ChatGPT, and Notion, the system uses a third-party OCR API (OCR SPACE). You’ll need to create an account and obtain an API key - You must map the fields returned by ChatGPT to the Notion database, or use the same field names we are using Customising It should be easy to replace Notion with PostgreSQL or another database if needed