Automate Resume Analysis & Candidate Screening with JotForm, Azure OCR, GPT-4.1, Zoho CRM
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moosa
Description
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
Configure JotForm Trigger: Add your JotForm API key and form ID (e.g., 252434958811059).
Set Up PostgreSQL: Create a resume table with columns: id (SERIAL PRIMARY KEY), given_name (VARCHAR), given_email (VARCHAR), resume_loc (VARCHAR).
Add Credentials: Store API keys for PDF.co, Azure Vision OCR, OpenAI, Zoho CRM, and Gmail in n8n’s credential system.
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.