Extract structured candidate data from resumes with GPT AI
 Who is this for? This workflow is perfect for HR teams, recruiters, and hiring platforms that need to automate the extraction of key ...
Template notes

Who is this for?
This workflow is perfect for HR teams, recruiters, and hiring platforms that need to automate the extraction of key candidate details—like name, email, skills, and education—from resume files submitted in various formats.
What problem does this solve?
Manually reviewing and extracting structured data from resumes is time-consuming and error-prone. This automation eliminates that bottleneck, standardizing candidate data for seamless integration into CRMs, applicant tracking systems, or Google Sheets.
What this workflow does
This n8n template listens for uploaded resume files, detects their format (PDF, DOC, TXT, CSV, etc.), and automatically extracts the raw text using n8n’s built-in file extraction tools. The extracted text is then parsed using an OpenAI-powered agent that returns structured fields such as:
- Full Name - Email Address - Skill Keywords - Education Details