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Parse and score resumes with PDF Vector AI

PDF VectorPDF Vector
429 views
2/3/2026
AIWebhookImage AnalysisGeminiVision
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Overview

HR departments and recruiters spend countless hours manually reviewing resumes, often missing qualified candidates due to time constraints. This workflow automates the entire resume screening process by extracting structured data from resumes in any format (PDF, Word documents, or even photographed/scanned resume images), calculating experience scores, and creating comprehensive candidate profiles ready for your ATS system.

What You Can Do

This workflow automatically retrieves resumes from Google Drive and uses AI to extract all relevant candidate information including personal details, work experience with dates, education, skills, and certifications. It intelligently handles various resume formats including PDFs, Word documents, and even scanned or photographed resumes using OCR. The workflow calculates total years of experience, tracks skill-specific experience, generates proficiency scores for each skill, and provides an AI-powered assessment of candidate strengths and suitability for different roles.

Who It's For

Perfect for HR departments processing high volumes of applications, recruitment agencies managing multiple clients, talent acquisition teams seeking to improve candidate quality, and hiring managers who want data-driven insights for decision making. Ideal for organizations that need to maintain consistent evaluation standards across different reviewers and want to reduce time-to-hire while improving candidate match quality.

The Problem It Solves

Manual resume screening is inefficient and inconsistent. Different reviewers may evaluate the same resume differently, leading to missed opportunities and bias. This workflow standardizes the extraction process, automatically calculates years of experience for each skill, and provides objective scoring metrics to help identify the best candidates faster while reducing human bias in the initial screening process.

Setup Instructions

  1. Configure Google Drive credentials in n8n
  2. Install the PDF Vector community node from the n8n marketplace
  3. Configure your PDF Vector API credentials
  4. Set up your preferred data storage (database or spreadsheet)
  5. Customize the skill categories for your industry
  6. Configure the scoring algorithm based on your requirements
  7. Connect to your existing ATS system if needed

Key Features

  • Automatic Resume Retrieval: Pull resumes from Google Drive folders automatically
  • Universal Format Support: Process PDFs, Word documents, and photographed resumes
  • OCR Capabilities: Extract text from scanned or photographed documents
  • Experience Calculation: Automatically compute total and skill-specific experience
  • Proficiency Scoring: Generate objective skill proficiency ratings
  • AI Assessment: Get intelligent insights on candidate fit and strengths
  • Multi-Language Support: Handle resumes in various languages
  • ATS Integration: Output structured data compatible with major ATS systems

Customization Options

Define custom skill categories relevant to your industry, adjust scoring weights for different experience types, add specific extraction fields for your organization, implement keyword matching for job requirements, set up automated candidate ranking systems, create role-specific evaluation criteria, and integrate with LinkedIn or other professional networks for enhanced candidate insights.

Note: This workflow uses the PDF Vector community node. Make sure to install it from the n8n community nodes collection before using this template.

Parse and Score Resumes with PDF Vector AI (Placeholder)

This n8n workflow is currently a placeholder and does not contain any active logic for parsing or scoring resumes. It serves as a starting point or a template, demonstrating the initial setup and potential for a more complex workflow.

What it does:

  1. Manual Trigger: The workflow is initiated manually by clicking "Execute workflow" in the n8n interface.
  2. Edit Fields (Set): This node is included, but without specific configurations, it currently performs no data transformation. Its purpose would typically be to manipulate or set data fields.
  3. Google Drive: A Google Drive node is present, indicating an intention to interact with Google Drive, likely for file storage or retrieval. However, no specific operation (e.g., download, upload, list files) is configured.
  4. Code: A Code node is included, suggesting that custom JavaScript logic would be implemented here. Currently, it contains no code.
  5. Sticky Note: A sticky note is included, which is a visual aid for documenting parts of the workflow.

Prerequisites/Requirements:

  • n8n Instance: An active n8n instance to host and run the workflow.
  • Google Drive Account: If the Google Drive node is to be used, a Google Drive account and n8n credentials for it will be required.

Setup/Usage:

  1. Import the workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials (if applicable): If you intend to use the Google Drive node, you will need to set up Google Drive OAuth2 credentials within n8n.
  3. Develop Workflow Logic: This workflow is a placeholder. To achieve its implied purpose (parsing and scoring resumes), you would need to:
    • Configure the Google Drive node to read or write resume files (e.g., PDFs).
    • Add nodes for PDF processing (e.g., using a custom API, a specialized n8n node, or a Code node with a library).
    • Integrate with an AI service (e.g., OpenAI, a custom vector database) for parsing, extracting information, and scoring resumes.
    • Utilize the "Edit Fields (Set)" and "Code" nodes to transform and process the data as needed.
    • Add nodes for outputting the results (e.g., to a database, spreadsheet, or notification service).
  4. Execute the workflow: Once configured, click "Execute workflow" to run it.

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