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

Workflow preview

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

This workflow is provided as-is. Please review and test before using in production.

Overview

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), given_name (VARCHAR), given_email (VARCHAR), resume_loc (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.