How does the scanner pick which keywords matter?
The scanner reads the full job description, filters common boilerplate, normalizes common variants and tech aliases, and extracts weighted single-word and multi-word terms. Repeated requirements and phrases like "project management" or "machine learning" are weighted higher than incidental words. The top 12 matched and missing terms are shown.
Should I just stuff every missing keyword into my resume?
No. Add only keywords that genuinely reflect skills or experience you have. Stuffing irrelevant terms passes the bot but fails the human reviewer. Use this list as a checklist for what's worth surfacing if it actually applies.
Is the scanner more useful than ChatGPT for this?
Depends on what you want. Generic chatbots can extract keywords, but this scanner gives you a structured matched/missing split when you paste a resume. It is purpose-built for the resume-tailoring workflow.
What's the difference between this and the ATS Resume Checker?
This page focuses on keyword extraction — "what does the JD ask for?" The
ATS Resume Checker goes a step further with a 0–100 match score plus matched/missing keyword lists in one view.