Free tool · No signup · Your document is never stored

Resume Skills Extractor

Your skills, grouped by discipline and graded by the evidence behind them.

  • Deterministic — the same document always gives the same result
  • Every finding quotes the line of your resume that triggered it
  • Parsed in memory and discarded. Never stored, never trained on

Add your resume

Drop a resume here, or click to choose a file PDF, DOCX, DOC or TXT · up to 10 MB
…or paste the resume text instead
Deterministic analysis. Nothing is uploaded to a model, and your document is not stored.

What this tool gives you

  • Every skill found, grouped across eleven categories
  • The demonstrated/listed split, per skill and overall
  • Which categories the resume is concentrated in and which are absent
  • The supporting excerpt for each demonstrated skill

How it works

  1. Add your resume

    Upload a PDF or DOCX resume, or paste the text directly. Nothing is stored — the analysis runs on the document you submit and the file is discarded.

  2. The engine analyses it

    A deterministic engine reads the document and extracts the facts — structure, skills, dates, evidence. No language model is involved, so the same document always produces the same result.

  3. Read the evidence behind every result

    You get the findings with the reasoning attached: what was found, where it was found in the document, and what to change. No score arrives without an explanation.

Skill extraction is where most resume tools reveal themselves. Ask for arbitrary phrases and you get "Strong Communication Skills" and "Various Technologies" presented as competencies. This extractor matches against a curated vocabulary spanning engineering, data, cloud, quality, product, finance, marketing and people functions — so what it reports back are things that are actually skills.

Grouping matters as much as extraction. Twelve scattered terms tell you little; twelve terms that turn out to be eleven frontend tools and one database tells you exactly how a recruiter will read the profile.

Frequently asked questions

Which skills can this detect?
A curated vocabulary across eleven categories: programming languages, frontend, backend, data and databases, cloud and DevOps, AI and machine learning, quality and security, product and delivery, business and operations, marketing and growth, and people and communication. It covers non-technical roles as well as engineering ones.
Why are one- and two-letter skills like "R" or "Go" sometimes missing?
Because those words appear constantly in ordinary English — "go deeper", "R&D", "C-level". Reporting every occurrence would produce nonsense, so short skill names are only trusted when they appear inside an explicit skills section. Listing "R" under Skills is enough to have it recognised.
How is this different from the keyword checker?
Same underlying extraction, different question. The keyword checker asks how well each term is supported. This tool asks what shape your skill profile has — which disciplines you cluster in, and which are missing.

Related free tools

Resume Keyword Checker Every keyword found, graded by whether real work backs it up. Resume Parser Every field an applicant tracking system extracts, shown exactly as it comes out. Strength Report Confirmed strengths and prioritised weaknesses in one report.

See all 20 free tools →

This is one document. The platform does your whole pipeline.

HireSagar runs this same deterministic engine across every applicant to every role you have open — scoring and ranking each candidate against that specific job, verifying career timelines, flagging risk, and generating interview questions specific to the person in front of you. Free plan available; no card required.

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