AI-Powered Job Application Handler with n8n Forms

This workflow streamlines job application submissions through a two-part n8n form process. It begins with a form trigger that accepts PDF CV uploads, validates them using a text classifier to ensure they are genuine resumes, and rejects invalid files prompting re-upload.

Next, an OpenAI LLM extracts key applicant data like name, experience, and skills, contextualized with the job description for relevance. The extracted data, along with the original PDF, is then forwarded to an ATS—demonstrated with Airtable for easy attachment and storage.

Finally, a second form is triggered, prefilled with the AI-extracted data, allowing applicants to review and edit before submission. This saves time, reduces errors, and enhances candidate experience.

Benefits include automation of manual data entry, improved hiring efficiency, and scalability for high-volume recruitment. Ideal for HR teams, recruiters, or startups building ATS systems. Customize by extending forms, adding portfolio analysis, or integrating other CRMs.