{
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "Q1: Is resume parsing 100% accurate?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "No tool is perfect. Modern AI-based parsers achieve accuracy rates of around 85–95%, but unusual layouts or scanned documents may still necessitate human validation."
    }
  },{
    "@type": "Question",
    "name": "Q2: Can resume parsers handle resumes in multiple languages?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "Yes, provided you choose parsers with built-in multilingual support. This capability ensures accurate parsing across global candidates."
    }
  },{
    "@type": "Question",
    "name": "Q3: What format should candidates use for the best parsing results?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "Stick with PDF or DOCX in simple, single-column layouts with clear headings and consistent formatting"
    }
  },{
    "@type": "Question",
    "name": "Q4: How do modern parsers reduce hiring bias?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "They can anonymise sensitive data, focus on skills and experience, and include bias-mitigation features that promote fairer candidate assessment."
    }
  },{
    "@type": "Question",
    "name": "Q5: What future features will resume parsing tools likely include?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "Expect real-time feedback, semantic search, predictive scoring, mobile-friendly parsing, and explainable AI, paired with dynamic candidate experiences."
    }
  }]
}