Document types
Parse resumes and job applications at scale
HR teams use AutoDocParse to pull candidate names, contact details, education, skills, and employment history from resume PDFs — reducing manual data entry during high-volume hiring periods.
What AutoDocParse extracts
- Name, email, and phone number
- Education and certifications
- Skills and keywords
- Work history with dates and employers
Why teams choose AutoDocParse
- Speed up candidate intake during hiring surges
- Standardize resume data across varied formats
- Route incomplete applications for human review
- Export to ATS, spreadsheets, or HRIS via API
How it works
- 1
Collect applications
Upload resumes from job boards, email, or applicant portals.
- 2
Extract candidate profiles
Define fields that map to your ATS schema with per-field confidence.
- 3
Sync to recruiting tools
Webhook or CSV export into Greenhouse, Lever, Workday, or custom systems.
Frequently asked questions
Can AutoDocParse handle creative resume layouts?+
Varied layouts are supported via custom parser schemas. Low-confidence fields go to review rather than silently posting bad data.
Ready to automate resumes & applications?
Upload a sample document and see confidence-scored extraction in minutes. No credit card required.