Read any job post like an ATS
See the exact words the machine matches on.
An applicant tracking system doesn't read your resume like a person — it matches concrete terms from the job description. The Keyword Extractor shows you those terms in seconds: paste a posting and it pulls out the tools and technologies, the hard skills, the certifications, and the seniority level the role screens for, so you're never guessing which words matter.
Paste your resume too and it shows your coverage — which of the JD's keywords you already have and which are missing — as an honest percentage. The rule that wins: include every keyword you genuinely have, worded exactly as the job description words it. It never tells you to add skills you can't back up; that just fails in the interview.
- ✓Extracts tools, hard skills, certifications and seniority
- ✓Coverage % of your resume vs the job description
- ✓Mirror the JD's exact wording for what you have
- ✓Free, instant, runs in your browser — nothing uploaded
How applicant tracking systems parse job descriptions
An applicant tracking system (ATS) does not read a job description the way a human does. It extracts structured fields (years of experience, job title, locations) and unstructured text (skills, responsibilities, "nice to haves"). When a resume arrives, the ATS tokenizes the job description and resume separately, builds a keyword-matching matrix, and produces a match score. A resume with high keyword overlap ranks higher. A resume that lacks keywords that appear in the job description ranks lower, even if the candidate is qualitatively overqualified.
The parsing is crude but consistent. An ATS cares about exact word matches more than synonyms. If the job post says "Node.js" and your resume says "Node" or "JavaScript runtime", the system may not recognise the connection, or it recognises it with lower confidence than an exact match. Similarly, acronyms matter: "AWS" is treated as different from "Amazon Web Services", even though both refer to the same platform. Recruiters manually tune which synonyms to weight equally, but many systems do not. The outcome is invisible to you—you never know if your resume was rejected because you used "TypeScript" instead of "TypeScript/JavaScript" or because the synonym weighting was poor.
The system also considers keyword frequency and position. If a job post lists "Python" once and "React" twelve times, the ATS infers that React is more critical. If your resume mentions "React" once and "Python" five times, you have inverted the priority. This misalignment is common when candidates optimise their resume for general visibility ("I have all these skills") rather than for this specific role. Position also matters slightly—a keyword in your job title or summary ranks higher than the same keyword buried in the body of a job description.
The types of keywords ATS systems screen for
Keywords fall into several categories: technologies (Python, React, PostgreSQL), frameworks (Django, Spring Boot, Vue), tools (Jira, Docker, Kubernetes), certifications (AWS Certified Solutions Architect, CPA, CISSP), and soft skills (leadership, communication, project management). The ATS weights them differently. Hard skills and technologies are primary filters—if you lack them, you fail the screen. Certifications are secondary but powerful—a candidate with a required certification ranks higher than one without. Soft skills are difficult to match algorithmically, so many ATS systems ignore them or weight them very low.
Many job posts also include seniority indicators: "5+ years of experience," "senior-level," "entry-level." These are often parsed as keywords rather than structured fields. A candidate with "10 years as a backend engineer" in their resume scores higher on the "5+ years" filter than one with "5 years", because the system sees a higher number. This is crude—it does not account for the quality of experience, only the surface number. But it is consistent.
The "nice to have" section is lower-priority but still parsed. If a job post says Python is required but mentions Scala as a nice-to-have, an ATS will score a resume higher if it includes both but will not reject it for lacking Scala. The weighting typically gives "required" skills two to three times the value of "nice to have" skills. If you are missing a required keyword, no amount of nice-to-have keywords will compensate.
Why exact keyword wording matters more than you think
Job descriptions often use the precise wording that candidates need in their resume to pass the ATS screen. If a posting says "experience with CI/CD pipelines" and your resume says "continuous integration and deployment", many older ATS systems will not recognise the match, even though the meanings are identical. Modern systems handle some synonym matching, but many do not. The safest strategy is to mirror the job post's language whenever possible. If they say "machine learning", avoid "AI" or "deep learning"—use their exact phrase at least once.
This is not about lying or overselling. If the job post lists "Go" as a technology and you have shipped production Go code, write "Go" in your resume, even if you usually describe yourself as a "backend engineer working in Go and Rust." You have the skill; you are just using the ATS-friendly wording. The goal is not to trick the system but to make your genuine qualifications legible to it.
The challenge is that job postings are sometimes inconsistent or vague. A posting might say "frontend development" in one place and "React/Vue" in another, leaving ambiguity about which term the ATS will screen on. In this case, include both wordings if possible: "Full-stack development using React (frontend) and Node.js (backend)." If you are forced to choose, prioritize the wording that appears first and most frequently in the job post.
Frequently asked questions
Will an ATS reject my resume if I use a synonym for a required keyword?
Possibly. If the job post says "React" and your resume only says "JavaScript frontend frameworks" or "modern web development," many ATS systems will not recognise the match. Use the exact terms from the job post. If you have the skill, it costs nothing to use their language. Mirror the job post's wording for required technologies and skills.
How many times should I repeat a keyword in my resume?
Once or twice naturally is enough. If a keyword appears four times, it looks keyword-stuffed and reduces readability for human recruiters. Use each keyword in a context that proves you have the skill—in your job title, in a responsibility, or in an accomplishment. One mention is usually sufficient for ATS purposes.
If a job lists both 'nice to have' and 'required' skills, which should I prioritise?
Always prioritise required skills. If you are missing a required skill, address it in your cover letter or profile summary—explain why you are still a strong match. A resume strong on nice-to-have skills but weak on required skills will not advance. Required skills are the gate; nice-to-have skills are the tiebreaker.
Should I add keywords to my resume that I do not actually have?
Never. If you list a skill and are asked to demonstrate it in a screening call or interview, lack of knowledge is immediately obvious. The damage to your credibility is worse than never applying. Always verify you can back up every skill you list when asked.
Does using acronyms instead of full names hurt my ATS score?
Yes. If the job post says "Amazon Web Services," use that phrasing at least once, in addition to "AWS." Many ATS systems treat acronyms as separate keywords. Use both forms to cover both matching patterns and ensure the human recruiter also recognises the keyword.
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