👥 Analyze resume PDFs for ATS fit with OpenRouter GPT via webhook
⚡ 267 views · 👥 HR & Recruitment
Description
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.
🔗 Nodes Used
Webhook, AI Agent, Extract from File, OpenRouter Chat Model
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File