AI Resume Scanner
See what recruiters’ AI silently infers about you: your age band, your salary ceiling, your flight risk, and the exact words that give it away.
Drop your resume here
PDF only. It is read in memory and never stored.
Bring your own API key. Your resume is read in memory, never stored, and never leaves this request.
What a scan looks like
Example, generated from a fictional resume. No key needed to read it.
Internal screening notes
“Reads as a plateaued mid-career operations manager, priced above the role, with a recent pattern of short tenures.”
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X-Ray Score: how much this resume leaks (0 to 100)
Who it thinks you are
Estimated age band
92%Late 40s to mid 50s
because you wrote “gthompson1974@aol.com” and “B.S. Business Administration, 1996” and “25+ years of experience”
Career stage
84%Plateaued: a long analyst tenure followed by lateral coordinator roles
because you wrote “Logistics Analyst, 1999 to 2015” and “Operations Coordinator, 2019 to 2021”
What it thinks you cost
Estimated current salary
71%$68,000 to $80,000
because you wrote “Operations Manager” and “regional shipping schedules”
Likely ceiling
78%$90,000, capped by the absence of modern systems experience
because you wrote “Maintained legacy tracking systems” and “Lotus Notes”
Risk flags
Skill outdatedness
97%Lists tools that left the industry two decades ago
because you wrote “Lotus Notes” and “Visual Basic 6” and “fax and switchboard systems” and “typing 65 WPM”
Desperation signal
89%The objective reads as untargeted and urgent
because you wrote “seeking any position” and “wear many hats”
Employment gap
80%A two year gap that the screener will read as a struggle to re-enter
because you wrote “Various Positions, 2015 to 2017” and “Personal sabbatical”
Your tells (16)
A less scrupulous screener would infer more. We stop here.
Fixes
- Replace the objective with a summary that names the role you want and one number you moved.
- Cut the graduation year, the AOL address, and every tool retired before 2010.
- Give the 2015 to 2017 gap a one line explanation instead of leaving it for the model to invent.