Analyze resume PDFs for ATS fit with OpenRouter GPT via webhook

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1. Workflow Overview

Quick overview This workflow accepts a resume PDF via webhook, extracts the text, and uses OpenRouter (OpenAI model) to generate an ATS style analysis and score for a specified job role, returning ...

Best for

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

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.extractfromfile, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenrouter, n8n-nodes-base.code, n8n-nodes-base.respondtowebhook, n8n-nodes-base.stickynote

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Analyze resume PDFs for ATS fit with OpenRouter GPT via webhook
Workflow name: Analyze resume PDFs for ATS fit with OpenRouter GPT via webhook

Quick overview

This workflow accepts a resume PDF via webhook, extracts the text, and uses OpenRouter (OpenAI model) to generate an ATS-style analysis and score for a specified job role, returning a clean JSON response to the requester.

How it works

Receives a POST webhook request containing a resume PDF (and an optional job_role value in the request body).
Extracts text content from the uploaded PDF file.
Sends the resume text and target job role to an AI agent backed by an OpenRouter chat model to produce an ATS analysis as JSON.
Cleans the AI output, parses it as JSON, and normalizes fields like ats_score, missing_skills, and improvement_suggestions.
Returns the final structured JSON (or an error payload with the raw AI output if parsing fails) in the webhook response.

Setup

Add an OpenRouter API credential and select it in the OpenRouter Chat Model node.
Configure the calling app to send a POST request to the workflow webhook URL with the resume PDF in the resume_file binary field and optionally include body.job_role.
Ensure the incoming file is a PDF and that the Extract from File node’s binary property name matches the uploaded file property.

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 - Receive Resume PDF

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

Block 2 - Extract Text from PDF

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1.1

Block 3 - Analyze Resume with AI

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 4 - OpenRouter Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 5 - Parse & Validate AI Response

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

Block 6 - Return ATS Report

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.5

Block 7 - Sticky Note

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

Block 8 - Sticky Note1

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

Block 9 - Sticky Note2

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

Block 10 - Sticky Note3

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

Block 11 - Sticky Note4

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

Block 12 - Sticky Note5

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

3. Summary Table

Workflow	Analyze resume PDFs for ATS fit with OpenRouter GPT via webhook
Complexity	intermediate
Nodes	12
Categories	HR, AI Summarization
Author	Kanishka Shrivastava
Published	25 May 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/15942/15942.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 Analyze resume PDFs for ATS fit with OpenRouter GPT via webhook do?

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.

Kanishka Shrivastava

5 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.extractfromfile @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenrouter n8n-nodes-base.code n8n-nodes-base.respondtowebhook n8n-nodes-base.stickynote

Complexity

intermediate

Published 25 May 2026

Likes 0

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Install path: /data/workflows/15942/15942.json

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Analyze resume PDFs for ATS fit with OpenRouter GPT via webhook

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Quick overview

How it works

Setup

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Receive Resume PDF

Block 2 - Extract Text from PDF

Block 3 - Analyze Resume with AI

Block 4 - OpenRouter Chat Model

Block 5 - Parse & Validate AI Response

Block 6 - Return ATS Report

Block 7 - Sticky Note

Block 8 - Sticky Note1

Block 9 - Sticky Note2

Block 10 - Sticky Note3

Block 11 - Sticky Note4

Block 12 - Sticky Note5

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