Home Employers Job Seekers Services For Recruiters Resources Contact 📞 +91 88919 09965 💬 WhatsApp Us
📄 Resume Tips

Formatting Your Resume for AI Resume Screening

A resume that reads well to a human can still confuse a parser. Here's how to fix that.

AI-assisted resume screening doesn't reject candidates outright — it ranks and surfaces them for a recruiter to review. But a poorly formatted resume can get mis-parsed badly enough that your actual experience never shows up correctly in that ranking.

Avoid tables, columns and text boxes for core content

Multi-column layouts and tables look clean visually but frequently scramble the reading order when parsed, merging job titles with company names incorrectly or dropping dates entirely.

Use standard section headings

"Experience", "Education", "Skills" parse reliably. Creative headings like "My Journey" or "What I Bring" often don't map to any expected field, which can push relevant content out of the structured data a recruiter sees.

  • Use standard date formats (Jan 2023 – Present) rather than abbreviations that vary by region
  • List skills as plain text, not icons or graphics
  • Keep contact information as plain text, not embedded in a header/footer graphic

Match language to the role, honestly

Mirroring language from the job description helps matching — but only where it's true. Padding a resume with keywords for skills you don't actually have creates a mismatch that shows up quickly in the interview, and damages trust with the recruiter.

A resume that's slightly less "designed" but cleanly structured almost always outperforms a visually striking one in both AI screening accuracy and quick human scanning.

Upload your resume through our Job Seekers section and our recruiters will flag formatting issues as part of the review — before it ever reaches an employer.

Resume TipsAI ScreeningCandidates

Get your resume reviewed before you apply

Upload your resume and our team will flag formatting and content issues before employers see it.


Related from the Knowledge Centre