Process CVs from email: parse PDFs, classify by departm

This automation workflow helps HR specialists and recruiters efficiently handle high volumes of CVs arriving via corporate email. It automatically extracts data from PDF attachments, infers the target department based on keywords, and validates completeness.

## Who it´s for
- HR specialists processing large volumes of CVs
- Recruiters in IT companies with automated initial screening
- Talent acquisition managers using email as the primary CV intake channel

## What the automation does
- Triggers on new emails with PDF attachments via IMAP
- Extracts text from CV files using PDF parsing
- Analyzes content: candidate name, experience, key skills
- Infers department based on keywords (e.g., "development", "frontend")
- Validates presence of required fields (contacts, experience, education)
- Saves valid CVs to structured folders (e.g., `/resume/Development/`)
- Sends email alerts to HR via SMTP for incomplete or invalid CVs

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic using IMAP and JavaScript code nodes
- Integrations with Email (IMAP/SMTP) and file system (local storage)
- Basic textual instructions for setup and adaptation

## Requirements for setup
- Corporate email access with IMAP enabled
- SMTP account for sending notifications
- Server or local environment with n8n installed
- File system access for saving CVs

## Benefits and outcomes
- Reduces time spent on initial CV screening
- Minimizes risk of missing applications
- Organized storage of candidates by department
- Automatic alerts for problematic submissions
- Scalable solution for growing application volume
- Reduced recruiter workload through automated filtering

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.