This n8n workflow automates the process of extracting and analyzing data from various uploaded files such as CSV, HTML, PDF, RTF, TXT, XML, and XLS. When a chat message triggers the workflow, it can categorize the uploaded files based on their extension, extract content accordingly, and use AI-powered language models to parse and extract key resume details like name, email, skills, and education. The information is then validated, formatted, and optionally saved to Google Sheets, making the workflow highly useful for HR or recruitment automation. This workflow streamlines the collection and analysis of resumes and similar documents, providing a comprehensive parsing and data organization solution.
Automated Resume Data Extraction and Enhancement Workflow
Node Count | 11 – 20 Nodes |
---|---|
Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, extractFromFile, googleSheets, set, switch |
Reviews
There are no reviews yet.