Extract skills, experience, education, and contact info from any resume PDF. Parse inbound application emails automatically.
500K+
Resumes parsed
< 5 sec
Time per resume
15+ per resume
Fields extracted
Resume — PDF Upload
ALEX RIVERA
Full-Stack Engineer
alex.rivera@email.com · (415) 555-0188
San Francisco, CA · linkedin.com/in/alexrivera
EXPERIENCE
Senior Software Engineer — Stripe, 2022–2025
Led checkout payments team (4 engineers)
Software Engineer — Shopify, 2019–2022
Built storefront rendering engine
SKILLS & EDUCATION
TypeScript · React · Node.js · PostgreSQL · AWS · Docker · K8s
BS Computer Science — UC Berkeley, 2019
Extracted Data
Manually reviewing and entering resume data into your ATS costs hours per hire.
Try free — 20 pages/monthBulk-parse hundreds of resumes into your ATS
Auto-extract applicant data from email applications
Build searchable candidate databases from PDFs
Parse interview scorecards and feedback forms
Extract candidate info from LinkedIn PDF exports
Click any document type to see a live extraction demo and all extracted fields.
ParseMe reads PDF, Word, and image resumes — extracting skills, experience, education, and contact info into a clean ATS-ready format regardless of layout.
ParseMe reads structured application forms — scanned or PDF — and pushes candidate data directly into your ATS or hiring spreadsheet.
ParseMe parses signed or unsigned offer letters — pulling salary, title, benefits, and contingencies so your HR team can verify accuracy before onboarding begins.
Start with 20 free pages. No credit card required.
Start parsing resumes