Description
What This Workflow Does
This n8n automation uses Multimodal LLMs like GPT-4 Vision to extract and analyze information from candidate resumes in PDF format. Instead of just reading text, it understands layout, sections, and visual patterns—just like a human recruiter. This enables automated shortlisting of qualified applicants based on specific criteria such as skills, education, and experience.
🌟 Why It's Powerful
🔹 Saves hours of manual resume screening by recruiters
🔹 Understands unstructured resumes with mixed layouts, fonts, and designs
🔹 Offers consistent, unbiased filtering — no fatigue or human error
🔹 Works out-of-the-box and connects with Google Sheets, NocoDB, or any HR system
🔧 Key Features
📎 Accepts CVs in PDF format (email, upload, webhook, etc.)
🧠 Uses GPT-4 Vision for layout-aware understanding of resumes
📌 Extracts structured fields like Name, Email, Phone, Skills, Education, Experience, Projects
🔍 Matches candidate profiles with job requirements using OpenAI prompts
📤 Sends output to Google Sheets, Airtable, Notion, or other database tools
📬 Optional Telegram or Slack alerts to HR/recruiters with parsed summary
🚫 Flags incomplete, invalid, or outdated resumes automatically
🛠️ Can be integrated into multi-step hiring workflows (e.g., AI Interview, Auto Test)
🚀 Workflow Breakdown
📥 Step 1: Trigger – resume uploaded or received via email/webhook
🧠 Step 2: AI processes the PDF using GPT-4 Vision — understands sections visually
🧾 Step 3: Extracts personal info, education history, skills, job titles, and achievements
📊 Step 4: Compares extracted data with job criteria (skills, years of experience, etc.)
📑 Step 5: Generates a structured JSON or table summary
📤 Step 6: Saves data to your desired platform (Sheets, Notion, NocoDB, etc.)
📨 Step 7 (Optional): Sends alerts to your HR or hiring team via Telegram or Email
📁 Step 8: Archives or labels the resume for easy tracking and review
📌 Ideal Use Cases
✅ Startups, agencies, or HR teams processing 100s of resumes per role
✅ Job portals or SaaS tools automating application reviews
✅ AI-powered hiring pipelines with candidate scoring and feedback loops
✅ Resume parsing + chatbot screening combinations
✅ Enterprises building internal AI tools for recruitment
🧠 Tech Stack & Tools Used
🧩 n8n for orchestration and automation
🧠 OpenAI GPT-4 Vision for parsing both text and layout of PDFs
📊 Google Sheets or NocoDB for structured data storage
📬 Telegram/Slack/Email for real-time alerts
📥 Webhooks and File Trigger Nodes to receive resumes
⚙️ Custom JS/OpenAI Prompt Nodes for resume scoring logic
Project Link:-[https://preview--vision-recruit-flow.lovable.app/]
