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Bulk resume screening & JD matching with GPT-4 for HR teams

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Bulk resume screening & JD matching with GPT-4 for HR teams preview
Open on n8n.io

Important notice

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

1. Workflow Overview

TalentFlow AI – Bulk Resume Screening with JD Matching [ ](https://www.youtube.com...

Best for

  • HR automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.formtrigger, n8n-nodes-base.extractfromfile, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.googlesheets, n8n-nodes-base.googledrive, @n8n/n8n-nodes-langchain.chainllm

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Trung Tran.

Original n8n.io source

1.1 Workflow description

Title
Bulk resume screening & JD matching with GPT-4 for HR teams
Workflow name
Bulk resume screening & JD matching with GPT-4 for HR teams

TalentFlow AI – Bulk Resume Screening with JD Matching

Automatically extract, evaluate, and shortlist multiple resumes against a selected job description using GPT-4. This smart, scalable n8n workflow helps HR/TA teams streamline hiring decisions while keeping results structured, auditable, and easy to share.


👤 Who’s it for

This workflow is designed for:

  • HR or Talent Acquisition (TA) teams handling multiple candidates per role
  • Recruiters who want AI-assisted resume screening to save time and reduce bias
  • Organizations that want to automatically log evaluations and keep stakeholders updated in real-time via Slack or Sheets

⚙️ How it works / What it does

  1. HR/TA uploads multiple candidate resumes and selects a job role
  2. Each resume is:
    • Uploaded to Google Drive
    • Parsed with GPT-4 to extract structured profile data
  3. The job description for the selected role is:
    • Retrieved from Google Sheets
    • Downloaded from Drive and parsed
  4. The profile + JD are sent to an AI agent to generate:
    • Fit score
    • Strengths & gaps
    • Final recommendation
  5. Results are:
    • Appended to the evaluation tracking sheet
    • Optionally shared with the hiring team on Slack
    • Used to trigger emails to qualified or unqualified candidates

🛠️ How to set up

  1. Clone or import the workflow into your n8n instance
  2. Connect your integrations:
    • Google Sheets (positions & evaluation form)
    • Google Drive (CV & JD folders)
    • OpenAI API (GPT-4)
    • Slack (for notifications)
    • (Optional) SendGrid or SMTP for email notifications
  3. Update Google Sheets structure:
    • Positions sheet: maps Job Role → JD file link
    • Evaluation form: stores evaluation results
  4. Prepare Drive folders:
    • /cv folder for uploaded resumes
    • /jd folder for job description PDFs

📋 Requirements

  • ✅ n8n (hosted or self-hosted)
  • ✅ OpenAI GPT-4 account (used in Profile & JD evaluator agents)
  • ✅ Google Drive + Google Sheets access
  • ✅ Slack workspace + bot token
  • (Optional) SendGrid or email credentials for candidate follow-up

🎨 How to customize the workflow

  • Change the fit score threshold in the Candidate qualified? node
  • Edit Slack message content/formatting to match your company tone
  • Add additional candidate metadata to Sheets or Slack messages
  • Use a webhook trigger to integrate with your ATS or job board
  • Swap GPT-4 with Claude or Gemini if you prefer other AI services
  • Expand to include multi-position batch screening logic

Happy Hiring! 🚀
Automated with love using n8n

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 2 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 3 - Application form

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.2

Block 4 - Extract profile

Type / Role
n8n-nodes-base.extractFromFile - extractFromFile
Config choices
Version 1

Block 5 - json parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 6 - gpt4-1 model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 7 - Get position JD

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.6

Block 8 - Download file

Type / Role
n8n-nodes-base.googleDrive - googleDrive
Config choices
Version 3

Block 9 - Extract Job Description

Type / Role
n8n-nodes-base.extractFromFile - extractFromFile
Config choices
Version 1

Block 10 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 11 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note6

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - HR Expert Agent

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.5

Block 14 - Profile Analyzer Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.1

Block 15 - Update evaluation sheet

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.6

Block 16 - Map Columns

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 17 - Upload to Google Drive

Type / Role
n8n-nodes-base.googleDrive - googleDrive
Config choices
Version 3

Block 18 - gpt-4-1 model 2

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 19 - json parser 2

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 20 - Sticky Note7

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 21 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 22 - Sticky Note8

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 23 - Send email to candidate about the result

Type / Role
n8n-nodes-base.sendGrid - sendGrid
Config choices
Version 1

Block 24 - Send message via Slack to the hiring team

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.3

Showing the first 24 of 30 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Bulk resume screening & JD matching with GPT-4 for HR teams
Complexity advanced
Nodes 30
Categories HR, AI Summarization
Author Trung Tran
Published 30 Jul 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/6680/6680.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Bulk resume screening & JD matching with GPT-4 for HR teams do?

TalentFlow AI – Bulk Resume Screening with JD Matching [ ](https://www.youtube.com...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your HR, AI Summarization use case.