Resume parser software — turn CVs into structured candidate data
A stack of CVs in a dozen layouts, returned as one consistent candidate table.
Returns 19 fields for this type, all editable before you export.
How it works
From a resume to a spreadsheet, in three steps
Upload the applications
A round of hiring arrives as a folder of CVs in a dozen layouts — PDF, Word export, scan. Upload the batch instead of opening them one at a time.
One shape for every candidate
Contact details, work history, education, skills and certifications come back as the same structured fields whatever the original layout did with them.
Into the tracker
Review anything flagged, then export to Excel, CSV, JSON or Google Sheets in your ATS import layout — every candidate in identical columns.
Extracted fields
Every field ParseForMe returns for this type
Straight from the extraction schema — what the parser fills in, not a wish list.
- Name
- Emails
- Phones
- Location
- Links
- Summary
- Skills
- Languages
- Certifications
- Company
- Job title
- Start date
- End date
- Description
- Institution
- Degree
- Field of study
- Start date
- End date
Pre-built templates
Start extracting in minutes, not hours
Pick a layout that matches your workflow, or bring your own. Map the columns once and every resume after it exports the same way.
Browse all templatesName · Email · Phone · Location · Current title · Company · Skills · Status · Notes
Use templateName · Current title · Company · Years experience · Skills · Education · Certifications · Languages · Location
Use templateUpload your own sheet as the export format instead. Map your columns to the extracted fields once, and every future document lands in exactly that layout.
Use your own templateIntegrations
Send resume data straight into the tools you already use
All solutions
Resumes are one document. Your business runs on many.
Every type below goes through the same upload, the same review step and the same export — and draws on the same token balance. Start with resumes today and add another next week; there are no parsing rules to rebuild when you do.
Document types
- Bank & credit card statements
- Invoices & accounts payable
- Receipts
- Purchase orders
- Shipping & delivery notes
- Resumes & applicationsYou are here
- Payslips
- Utility statements
By industry
Use cases
Who uses resume parsing, and what for
Resumes
Recruiters
Turn a folder of applications into a candidate table — name, contact, skills, titles and dates.
More for recruitersStart from a matching template
Questions
Frequently asked questions
Which resume formats can ParseForMe read?
PDF, DOCX and scanned or photographed CVs (PNG, JPEG, TIFF, WebP) up to 20 MB. Multi-column and heavily designed layouts are supported.
Does it extract full work history and education?
Yes — every role (company, title, dates, description) and every education entry (institution, degree, field, dates) is captured as its own structured row.
Can I load parsed resumes into my applicant tracker?
Yes. Export to CSV, XLSX or a Google Sheet, or map the fields to your ATS import template once and reuse it for every candidate.
Parse your first one free
No card · Review every field · One token per parsed page