AI resume parser
February 2026 · from the workshop
n8n DevRel build · hiring automation Hiring at scale means processing hundreds — sometimes thousands — of resumes. Pulling candidate data out of PDFs and Word docs by hand is slow and error-prone. I built a pipeline that turns unstructured resume files into clean, structured candidate data in seconds.
It handles multiple file formats automatically, routing each document to the right extraction path. AI agents parse names, emails, phone numbers, skills, education, and work history, then write it all straight to Google Sheets — with error handling and retry logic so it holds up on the messy, unconventional resumes too.