Resume Keyword Analyzer
Paste any job description. Our NLP engine highlights recognized terms from a built-in taxonomy — hard skills, soft skills, certifications, tools, and job title variants.
Analyse a Job Description FreeTry It Now — No Sign-Up Required
Paste any job description below and hit Extract. See every ATS keyword instantly.
What Keywords Does ATS Scan For?
ATS doesn't just count words. It looks for specific categories of keywords — and weights them differently.
Hard Skills & Tools
Programming languages, frameworks, software tools, platforms, databases. Example: Python, React, Tableau, AWS, Salesforce.
Soft Skills
Interpersonal and leadership competencies. Example: cross-functional collaboration, stakeholder management, mentoring.
Certifications & Qualifications
Professional certifications and degrees. Example: PMP, CPA, AWS Certified Solutions Architect, MBA.
Job Title Variants
Different names for the same role. Example: Software Engineer vs SWE vs Developer vs Programmer.
How to Use Extracted Keywords
Extract keywords from the job posting
Paste the full English job description into the analyzer above. You'll get a categorized list of terms recognized by the current taxonomy.
Run a gap analysis against your resume
Paste your resume alongside the job description into our Gap Analysis tool. See exactly which keywords are present vs missing — and your ATS match score.
Add missing keywords naturally
Weave missing keywords into your experience bullets. Use our AI Bullet Rewriter to do this automatically — it rewrites each bullet to include the keywords without inventing facts.
Verify and export
Run the gap analysis again to see how the explainable score changed. Then review the text checks, inspect the layout manually, and export a simple PDF.
Keyword Analyzer FAQ
What is an ATS keyword analyzer?
An ATS-oriented keyword analyzer reads a job description and identifies terms recognized by its taxonomy. This can include hard skills (Python, Excel), soft skills (leadership, collaboration), certifications (PMP, AWS Certified), tools (Jira, Salesforce), and job-title terms. It cannot predict every employer's ATS rules or identify every relevant phrase.
How does the keyword extraction work?
Our engine uses a curated skill taxonomy of 220+ skills with 65+ synonym groups to analyse the job description — not just simple word counting. It recognises abbreviation variants (e.g., 'JS' matches 'JavaScript'), multi-word skills, and domain-specific terminology to extract the keywords that matter. This catches terms that simple keyword-matching tools miss.
Should I add every extracted keyword to my resume?
Only add keywords for skills and experience you actually have. ATS gets you past the automated filter, but the recruiter interview will verify your claims. Focus on the keywords where you have genuine experience, and weave them naturally into your bullet points rather than stuffing them into a skills section.
How is this different from just reading the job description?
A job description often buries important keywords in long paragraphs, mentions the same skill under different names (e.g., 'project management' vs 'PM'), or uses industry jargon you might overlook. Our NLP engine catches all variants and presents them in a structured list, so you don't miss anything.
Got your keywords? Now fix your resume.
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