Resume skill extractor

Recruiters and applicant tracking systems (ATS) scan resumes for skills that match the job description. This tool extracts technical skills, programming languages, tools and methodologies from resume text and compares them with a job description, showing what matches, what is missing and an overall keyword match percentage.

How to use it

1. Paste the resume text.
2. Paste the job description.
3. Review the extracted skills, the matched and missing keywords, and the match score.

Example

A job description asks for Python, Django, PostgreSQL, Docker, AWS and CI/CD. The resume mentions Python, Flask, PostgreSQL, Docker and GitHub Actions. Matched: Python, PostgreSQL, Docker. Missing: Django and AWS. GitHub Actions is a CI/CD tool, so a recruiter would count it, but a strict keyword match might not. The score is roughly 50 to 67% depending on how CI/CD is treated.

For candidates

• Use the exact terms from the job description where they truthfully describe your experience, such as PostgreSQL rather than only Postgres.
• Mention skills in context: Built a Django REST API serving 2M requests per day beats a bare skills list.
• Use a simple layout. Tables, columns and text in images can confuse ATS parsers.
• Never add skills you do not have; interviews will expose them.

For recruiters

• Use the match score to prioritise, not to reject automatically. Strong candidates often describe skills differently.
• Check synonyms and related tools: Kubernetes experience implies container knowledge; React experience implies JavaScript.
• Focus on must-have skills rather than the full keyword list.

Text is processed locally in your browser, so personal data in resumes is not uploaded.