Automate Indeed CV Scoring & Triage with n8n, Mistral OCR, Groq

Automatically score and triage Indeed CVs with n8n—using OCR plus fast AI parsing

This n8n workflow automates the entire job-application intake process: it extracts text from uploaded CVs (via Mistral OCR), evaluates candidates, and triggers an outreach-ready workflow by sending results via email—helping you sort Indeed applicants faster with consistent scoring and triage.

What this workflow does

• Receives incoming CV data and prepares it for evaluation inside the workflow.
• Uses Mistral OCR to extract readable text from the CV content so it can be analyzed reliably.
• Applies scoring and decision logic using n8n nodes (including if, set, and code) to triage candidates based on defined criteria.
• Sends emails with the outcome of the CV scoring/triage so applicants or internal stakeholders receive the next-step instructions.
• Stores and organizes CV-related files in Google Drive for traceability and auditing.
• Logs workflow context using a sticky note to keep the automation maintainable for teams and future edits.

Use cases

• SaaS recruiting operations: reduce manual review time when reviewing high volumes of Indeed CV submissions.
• Automation engineers: deploy a repeatable n8n pattern for OCR-based document parsing and AI-assisted triage.
• Small HR teams: standardize candidate screening so faster turnaround doesn’t mean inconsistent evaluation.

Technical details

• n8n nodes: if, set, code, email send, sticky note, Google Drive
• OCR: Mistral OCR for extracting text from CV files
• AI / parsing foundation: Designed for Groq and AI-driven scoring workflows (for CV evaluation and structured triage output)

Build a faster Indeed CV scoring and triage pipeline in n8n—consistent decisions, automated outreach, and better organization from day one.