Automated Job Application Processing with AI Integration

This n8n workflow streamlines the entire job application process by integrating form submissions, AI-based document classification, information extraction, and data storage. It begins when an applicant submits their CV through a first-stage form, which is then extracted from the uploaded PDF. The document undergoes AI classification to verify it’s a valid CV. Subsequently, a large language model (LLM) extracts relevant candidate information relevant to a specific job post, including details like name, skills, and experience.

Once processed, the candidate’s data is uploaded to Airtable, along with the CV file as an attachment, creating a structured database of applications. The workflow then guides the applicant to a second form prefilled with extracted data, allowing them to review and amend their application details before final submission. After completing the second form, the data is further updated in Airtable, and the applicant receives a confirmation message.

This automation is highly beneficial for HR teams looking to reduce manual data entry, improve data accuracy, and speed up their hiring process. It combines form handling, AI validation and extraction, and seamless data integration, enabling a fully automated candidate onboarding system.