Automate Resume Analysis & Candidate Screening with JotForm, Azure OCR, GPT-4.1, Zoho CRM

Who’s It For This workflow is ideal for HR professionals, recruiters, and small businesses looking to streamline resume screening with AI-powered analysis and CRM integration.

What It Does This template automates resume processing by: - Capturing resume submissions (name, email, PDF) via JotForm. - Converting PDFs to images using PDF.co API. - Extracting text with Azure Vision OCR. - Analyzing resumes with GPT-4.1 for strengths, improvements, and a score (1–100). - Storing submission data in PostgreSQL. - Adding high-scoring resumes (>85) to Zoho CRM and sending congratulatory emails. - Sending feedback emails for lower-scoring resumes.

How to Set Up 1. Configure JotForm Trigger: Add your JotForm API key and form ID (e.g., 252434958811059). 2. Set Up PostgreSQL: Create a resume table with columns: id (SERIAL PRIMARY KEY), givenname (VARCHAR), givenemail (VARCHAR), resumeloc (VARCHAR). 3. Add Credentials: Store API keys for PDF.co, Azure Vision OCR, OpenAI, Zoho CRM, and Gmail in n8n’s credential system. 4. Test the Workflow: Submit a test resume via JotForm and verify data flow through each node.

Requirements - n8n instance (cloud or self-hosted). - Accounts with JotForm, PDF.co, Azure Vision, OpenAI, Zoho CRM, and Gmail. - PostgreSQL database.

How to Customize - Adjust the GPT-4.1 prompt for specific job roles. - Modify the score threshold (currently 85) in the "if score > 58?" node. - Update email templates for personalized messaging.

PostgreSQL Table Structure > Node to create table included in workflow.