ParseMe reads PDF, Word, and image resumes — extracting skills, experience, education, and contact info into a clean ATS-ready format regardless of layout.
Live extraction demo
Resume — PDF Upload
ALEX RIVERA
Full-Stack Engineer
alex.rivera@email.com · (415) 555-0188
San Francisco, CA · github.com/arivera
EXPERIENCE
Senior Software Engineer — Stripe, Jun 2022–Mar 2025
Payments team lead, 4 direct reports, TypeScript/React
Software Engineer — Shopify, Aug 2019–May 2022
Built storefront rendering engine, Node.js/PostgreSQL
SKILLS & EDUCATION
TypeScript · React · Node.js · PostgreSQL · AWS · Docker
BS Computer Science — UC Berkeley, 2019 GPA: 3.7
Extracted Data
Every field ParseMe can pull from resumes & cvs.
| Field | Type | Description |
|---|---|---|
| full_name | string | Candidate full name |
| string | Email address | |
| phone | string | Phone number |
| current_title | string | Current or most recent job title |
| years_experience | number | Total years of relevant experience |
| skills | array | Technical and soft skills listed |
| experience | array | Job history with company, role, and dates |
| education | string | Highest degree and institution |
| certifications | array | Professional certifications |
| location | string | Candidate location |
| string | LinkedIn profile URL |
Import 500 resumes into your ATS in the time it used to take to read 10
Rank candidates automatically by skills match before human review
Build a searchable talent pool database from years of received resumes
Detect duplicate applicants across multiple job openings automatically
Every document type in your industry — all in one platform.
ParseMe reads structured application forms — scanned or PDF — and pushes candidate data directly into your ATS or hiring spreadsheet.
See extraction demo →
ParseMe parses signed or unsigned offer letters — pulling salary, title, benefits, and contingencies so your HR team can verify accuracy before onboarding begins.
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Start with 20 free pages. No credit card required.
Parse your first resume