WordGPT

Turn resumes into a candidate spreadsheet

Extract name, contact, current role, experience, education and skills from a resume or CV into a row. Stack many for a candidate tracker. Free preview.

or drop a PDF here (up to 5 pages, 2 MB)

This preview shows the first 25 rows and does not keep your file.

Screening fifty resumes means opening fifty files and copying the same eight fields. If each resume becomes a row, you can sort by experience, filter by skill and share the shortlist. This tool reads a resume into a row with the fields recruiters use. In your account, drop a whole folder and get the full candidate table.

What you get

One row per candidate

Name, contact, current role, education, skills and languages in a single line.

Any layout

Two-column designs and creative layouts are read by meaning, not position.

A tracker in minutes

Upload a folder in your account and sort, filter and share the shortlist.

How it works

  1. Step 1

    Paste a resume or drop the PDF.

  2. Step 2

    See the extracted row.

  3. Step 3

    Create a free account to process a folder of CVs.

Who uses it

  • Recruiters

    Build a candidate tracker from a pile of CVs.

  • HR teams

    Standardise applications from a job post.

  • Career coaches

    Compare a client's CV against a role's requirements.

Questions

Is this fair to candidates?

It only extracts what the resume states. Decisions about people should stay with people.

Does it work with scanned resumes?

Scans need OCR, included with a free account.

Which fields can I change?

In your account you can add or remove columns before extracting.

Related tools

See it on real examples

Three actual runs of this tool. Open one to see the input and the whole result.