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Extract every keyword that matters.

Paste any job description, get an instant categorised list of the must-have skills, nice-to-have, technical requirements, and industry terms the ATS is searching for.

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What you get

Seven categories, one list.

We split the JD into the sections a real ATS cares about.

01 · Required

Required skills

The hard must-haves. If the JD says "5+ years of Python", it ends up here.

02 · Preferred

Preferred skills

Nice-to-have. Matching boosts your score but is not a deal-breaker.

03 · Technical

Technical keywords

Tools, frameworks, languages, platforms. Very heavily weighted by parsers.

04 · Soft

Soft skills

Collaboration, ownership, stakeholder management. Less weight, still relevant.

05 · Industry

Industry terms

The vocabulary of the sector. FinTech, SaaS, compliance, GDPR.

06 · Certs

Certifications

AWS Certified, PMP, CFA, and so on, flagged so you know what's scored.

Questions, answered

Before you paste.

What does a keyword extractor do?

It analyses a job description using AI to identify the most important keywords: skills, technologies, qualifications, and experience terms that ATS systems look for when filtering CVs.

Why are keywords important for my CV?

Over 90% of large companies use ATS software to filter resumes. If your CV does not contain the right keywords from the job description, it may never reach a human reviewer.

Must-have vs nice-to-have?

Must-have keywords appear in requirements sections or are mentioned multiple times. These are critical for passing ATS filters. Nice-to-have keywords appear in preferred or bonus sections and carry less weight in scoring.

How do I use these keywords?

Add must-have keywords naturally throughout your CV: summary, experience bullets, skills section. Do not keyword-stuff; integrate them in context with real achievements.