AI recruiter – analyze multiple CVs vs job description using OpenAI GPT

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Important notice

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

1. Workflow Overview

An AI Recruiter that screens, scores, and ranks candidates in minutes — directly inside n8n. Overview An AI powered recruiter workflow that compares multiple candidate CVs with a single Job Desc...

Best for

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

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.respondtowebhook, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.code, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.extractfromfile, n8n-nodes-base.splitinbatches

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ms. Phuong Nguyen (phuongntn).

Original n8n.io source

1.1 Workflow description

Title: AI recruiter – analyze multiple CVs vs job description using OpenAI GPT
Workflow name: AI recruiter – analyze multiple CVs vs job description using OpenAI GPT

An AI Recruiter that screens, scores, and ranks candidates in minutes — directly inside n8n.

🧠 Overview

An AI-powered recruiter workflow that compares multiple candidate CVs with a single Job Description (JD).
It analyzes text content, calculates fit scores, identifies strengths and weaknesses, and provides automated recommendations.

⚙️ How it works 🔹 Webhook Trigger – Upload one Job Description (JD) and multiple CVs (PDF or text) 🔹 File Detector – Auto-identifies JD vs CV 🔹 Extract & Merge – Reads text and builds candidate dataset 🔹 🤖 AI Recruiter Agent – Compares JD & CVs → returns Fit Score, Strengths, Weaknesses, and Recommendation 🔹 📤 Output Node – Sends structured JSON or summary table for HR dashboards or Chat UI

Example:
Upload JD.pdf + 3 candidate CVs → get instant JSON report with top match and recommendations.

🧩 Requirements

OpenAI or compatible AI Agent connection (no hardcoded API keys).
Input files in PDF or text format (English or Vietnamese supported).
n8n Cloud or Self-Hosted v1.50+ with AI Agent nodes enabled. 🔸 “OpenAI API Key or n8n AI Agent credential required”

🧱 Customizing this workflow

Swap the AI model with Gemini, Claude, or another LLM.
Add a Google Sheets export node to save results.
Connect to SAP HR or internal employee APIs.
Adjust scoring logic or include additional attributes (experience, skills, etc.).

👩‍💼 Author

https://www.linkedin.com/in/nguyen-phuong-17a71a147/
Empowering HR through intelligent, data-driven recruitment.

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 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

Block 2 - Respond to Webhook

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.4

Block 3 - AI Recruiter Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 4 - Parse Recruiter Output

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

Block 5 - List_File

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

Block 6 - Detect PDF Type

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

Block 7 - If

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

Block 8 - OpenAI Chat Model

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

Block 9 - Extract from File

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

Block 10 - Convert Base64 to Binary

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

Block 11 - Loop Over Items

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

Block 12 - Replace Me

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

Block 13 - Reattach_Metadata_After_Extract

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

Block 14 - Combine_Candidates_For_AI

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

Block 15 - Preprocess_CV_Names

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

Block 16 - Sticky Note

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

Block 17 - Sticky Note1

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

Block 18 - Sticky Note2

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

3. Summary Table

Workflow	AI recruiter – analyze multiple CVs vs job description using OpenAI GPT
Complexity	advanced
Nodes	18
Categories	HR, AI Summarization
Author	Ms. Phuong Nguyen (phuongntn)
Published	24 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10101/10101.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source HR workflows AI Summarization workflows

Frequently asked questions

What does AI recruiter – analyze multiple CVs vs job description using OpenAI GPT do?

An AI Recruiter that screens, scores, and ranks candidates in minutes — directly inside n8n. Overview An AI powered recruiter workflow that compares multiple candidate CVs with a single Job Desc...

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.

Ms. Phuong Nguyen (phuongntn)

1 workflow

Nodes

n8n-nodes-base.webhook n8n-nodes-base.respondtowebhook @n8n/n8n-nodes-langchain.agent n8n-nodes-base.code n8n-nodes-base.if @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.extractfromfile n8n-nodes-base.splitinbatches

Complexity

advanced

Published 24 Oct 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/10101/10101.json

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AI recruiter – analyze multiple CVs vs job description using OpenAI GPT

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🧠 Overview

🧩 Requirements

🧱 Customizing this workflow

👩‍💼 Author

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Webhook

Block 2 - Respond to Webhook

Block 3 - AI Recruiter Agent

Block 4 - Parse Recruiter Output

Block 5 - List_File

Block 6 - Detect PDF Type

Block 7 - If

Block 8 - OpenAI Chat Model

Block 9 - Extract from File

Block 10 - Convert Base64 to Binary

Block 11 - Loop Over Items

Block 12 - Replace Me

Block 13 - Reattach_Metadata_After_Extract

Block 14 - Combine_Candidates_For_AI

Block 15 - Preprocess_CV_Names

Block 16 - Sticky Note

Block 17 - Sticky Note1

Block 18 - Sticky Note2

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions