Automated Email Content & Attachment Classification Workflow

This n8n workflow is designed to automate the process of reading, classifying, and extracting data from incoming emails with attachments, enhancing email management efficiency. It starts with an IMAP email trigger that monitors an email inbox for new messages. When an email arrives, the workflow extracts the email content and any attachments, particularly PDFs.

The extracted attachment is processed to parse its data (e.g., resumes) using a PDF data extractor node. The email text and attachment content are then fed into a language model for classification into predefined categories such as job applications, inbound leads, invoices, or others. This helps automate sorting and prioritization of emails.

Additionally, a data extraction node pulls specific applicant details from resumes or attachments, including first name, last name, age, residence, education, work experience, and personal traits.

The classified email and extracted data can then be directed into different workflows or further processed using additional nodes, allowing for custom actions, notifications, or integrations. This workflow is ideal for HR teams automating resume screening, customer support channels categorization, or any scenario requiring automated email and attachment analysis.