Resume Parser

Extract structured data from resumes and CVs

What is Resume Parser?

The Resume Parser is a free online tool that reads the text of a resume or CV and turns it into clean, structured data. Instead of scanning a long document by hand, you paste the content and the tool automatically extracts the candidate name, current job title, email, phone, and location. It also pulls out a professional summary, an estimated number of years of experience, and links to professional profiles such as LinkedIn, GitHub, GitLab, Stack Overflow, and a personal portfolio website. Beyond contact details, it detects skills across many categories, work experience entries, projects, education history, certifications, and spoken languages. The skill engine recognizes hundreds of technologies grouped into programming languages, frontend, backend, mobile, databases, DevOps and cloud, data and AI, tools, and soft skills. Everything runs in your browser, so the resumes you paste are never uploaded to a server. You can switch between a structured view and a raw JSON view, copy the data, or export it as JSON or CSV for import into your own database or ATS.

How to use Resume Parser?

Parsing a resume takes only a few seconds and happens entirely in your browser:

  1. 1 Copy the full text of the resume or CV and paste it into the input field. You can paste directly from a PDF or Word document, or click Load Sample to see how the parser behaves with example content.
  2. 2 Click Parse Resume. The tool scans the text for common patterns and pulls out contact information, profile links, the professional summary, detected job titles, a categorized skills list, work experience, projects, education, certifications, and languages.
  3. 3 Review the structured results, or toggle to the JSON view to see the full machine-readable output. Check that the detected fields are accurate, since free-form resumes sometimes use unusual layouts.
  4. 4 Copy the data or export it as JSON for integration with an applicant tracking system, or as CSV to open in a spreadsheet and share with your hiring team.

Why use this tool?

Manually copying details from dozens of resumes is slow and error-prone, and important information is easy to miss. The Resume Parser standardizes every applicant into the same structured shape so you can compare candidates quickly and consistently. Because it recognizes a large dictionary of skills and groups them by category, you can scan a candidate technical profile at a glance instead of reading line by line. It also surfaces hard-to-find details like portfolio links, certifications, languages, and estimated years of experience. Since parsing happens locally in your browser, sensitive personal data is never sent to a server, which helps you respect candidate privacy and data-protection rules. The tool is completely free, requires no signup, and has no limit on how many resumes you process. Whether you are a recruiter screening a high volume of applications or a small team building a simple talent database, structured data saves hours of tedious work.

Examples

Screening a batch of applicants

Paste each resume, parse it, and export to CSV so you can sort and filter candidates by skills, certifications, or years of experience in a spreadsheet.

Feeding an applicant tracking system

Toggle to the JSON view, copy it, or export the parsed fields and import them into your ATS, avoiding the need to retype contact details, profile links, and work history by hand.

Building a quick talent database

A small business with no ATS can parse resumes one by one and collect the structured rows — including skills, projects, and languages — into a single shared spreadsheet for future openings.

Frequently Asked Questions

Is the Resume Parser free to use?

Yes. The tool is completely free, with no signup and no limit on how many resumes you parse.

Are the resumes I paste uploaded anywhere?

No. Parsing happens entirely in your browser, so the resume text is never sent to or stored on a server. This keeps candidate data private.

What information does the parser extract?

It detects the candidate name, current title, email, phone, and location, a professional summary, estimated years of experience, profile links (LinkedIn, GitHub, GitLab, Stack Overflow, portfolio), categorized skills, work experience, projects, education, certifications, and spoken languages.

How many skills can it recognize?

The built-in dictionary covers hundreds of technologies and soft skills, grouped into categories such as programming languages, frontend, backend, mobile, databases, DevOps and cloud, data and AI, tools, and soft skills.

Why are some fields missing or incorrect?

Resumes use many different layouts. The parser relies on common patterns, so unusual formatting can cause some fields to be missed. Always review the results before exporting.

Can I export the parsed data?

Yes. You can switch to a JSON view and copy it, export the structured fields as JSON for an applicant tracking system, or export as CSV to open in a spreadsheet.

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