HR & People Operations
CV / Résumé & Application
Parse CVs and applications into structured candidate profiles for recruiting systems.
The Challenge
CVs come in endless creative layouts, multi-column designs, PDFs, Word and scans, in several languages. Dates, employers, roles and skills must be extracted and de-duplicated, and gaps or overlaps handled gracefully.
Industries
Any industry; recruiting agencies, staffing, HR departments, RPO.
Who Uses It
Recruiters, talent acquisition, HR operations, ATS integration.
BASE Schema
Candidate name — Text
Contact details — Key value set (name, phone, email)
Work experience (employer, role, dates) — Table
Education (institution, degree, dates) — Table
Skills — Table
Languages — Table
Certifications — Table
Recommended pipeline settings — Context (role-specific must-have criteria)
OPTIONAL Validation
Date continuity / gap detection; contact-format validation; skill normalisation to taxonomy; PII handling under GDPR; note EU AI Act care for HR-screening use cases.
Frequently ASked Questions
How can AI parse CVs into an applicant tracking system?
It extracts experience, education and skills from any CV layout into a structured profile, normalises the data, and pushes it into the ATS automatically.
Can CV parsing work across languages and formats?
Yes — multilingual CVs in PDF, Word or scanned form are parsed into the same structured schema.
Why automate CV data entry in recruiting?
It removes hours of manual profile creation, speeds candidate screening, and keeps a consistent, searchable talent database.
See more use cases.
Get inspired by further sample data schemas.