AI CV Parsing

📋 On This Page

  • Overview
  • How It Works
  • Extracted Information
  • Usage Guide
  • Best Practices
  • Limitations
  • Cost Considerations
  • Related Features
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    Overview

    The AI CV Parsing feature uses OpenAI GPT-4o to automatically extract structured information from candidate CVs, reducing manual data entry and keeping candidate profiles consistent.

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    How It Works

    Process Flow

  • Upload CV — You upload a PDF file
  • Text Extraction — System extracts text from your PDF
  • AI Analysis — AI analyzes the CV content
  • Data Extraction — AI identifies and extracts candidate information
  • Profile Creation — Candidate profile is automatically created
  • CV Attachment — Original CV is attached to the profile
  • Processing

    CV parsing happens automatically so you can continue working:

  • Your file is securely uploaded
  • Processing happens in the background
  • Status updates appear in the upload panel
  • Completed uploads open the new candidate profile
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    Extracted Information

    The AI extracts the following structured data:

    Personal Information

  • Name — Full candidate name
  • Email — Email address (if present)
  • Phone — Phone number (if present)
  • Location — City/country
  • Professional Summary

  • Summary — 2-3 sentence professional summary
  • Generated from CV content
  • Highlights key experience and skills
  • Skills

  • Skills Array — Technical and professional skills
  • Extracted from CV sections
  • Normalized and deduplicated
  • Includes both hard and soft skills
  • Work Experience

  • Experience Array — Each entry includes:
  • - Job title - Company name - Duration/date range - Description/responsibilities

    Note: Work history powers the AI Relationship Graph feature, which identifies candidates who worked together

    Education

  • Education Array — Each entry includes:
  • - Degree/qualification - Institution name - Year/date

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    Usage Guide

    Uploading a CV

  • Navigate to CandidatesUpload CV
  • Click Choose File or drag & drop
  • Select PDF file
  • Click Upload
  • Status Updates:

  • "Processing..." — AI parsing in progress
  • "Completed" — Profile created and opened
  • "Failed" — Error shown in the upload widget (fix the file and retry)
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    Reviewing Parsed Data

    After parsing completes:

  • Review extracted information
  • Edit any incorrect fields
  • Add missing information
  • Verify skills and experience
  • Save candidate profile
  • Common Edits:

  • Fix name formatting
  • Correct email/phone
  • Adjust skills list
  • Refine experience descriptions
  • Update location
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    Handling Errors

    Common Issues:

  • Scanned PDF — Upload text-based PDF instead
  • Empty Extraction — PDF may be image-only
  • Invalid Format — Only PDF files supported
  • AI Timeout — Retry upload
  • Error Messages:

  • Clear, actionable error messages
  • Suggestions for resolution
  • Support contact information
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    Best Practices

  • Use Text-Based PDFs — Scanned PDFs won't work
  • Review Parsed Data — Always verify AI extraction
  • Add Missing Info — AI may miss some details
  • Normalize Skills — Standardize skill names
  • Check Experience — Verify dates and durations
  • Update Summary — Refine AI-generated summary if needed
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    Limitations

    Supported Formats

  • PDF only (text-based)
  • Maximum file size: Configurable (default 10MB)
  • Not Supported

  • Scanned/image-only PDFs
  • Word documents (use PDF export)
  • Other file formats
  • AI Limitations

  • May miss some information
  • Formatting may vary
  • Requires clear CV structure
  • May misinterpret ambiguous data
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    Cost Considerations

    Pricing

  • Based on OpenAI GPT-4o pricing
  • Usage tracked per agency
  • Cost varies by CV length and complexity
  • Typically very affordable per CV processed
  • Efficiency

  • Optimized for fast processing
  • Handles long CVs efficiently
  • Processing happens automatically without interrupting your work
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    🔗 Related Features

  • Candidate Management — Managing candidate profiles
  • AI Relationship Graph — Detecting candidate relationships
  • AI Job Parsing — Parsing job descriptions