Extract Data from Resumes Automatically
Screen candidates 10x faster with AI‑powered resume parsing. Extract contact info, work history, education, skills, and more from any resume format in seconds.
Every Detail Extracted Automatically
From contact information to work history, education, and skills—our AI captures all candidate data with precision.
Full Name
Candidate's complete name
Email Address
Primary email contact
Phone Number
Contact phone number
Location
City, state, country
LinkedIn Profile
LinkedIn URL
Portfolio / Website
Personal or portfolio URLs
Professional Summary
Headline or summary section
Job Titles
Past and current job titles
Company Names
Employers and organizations
Employment Dates
Start and end dates per role
Total Experience
Total years of experience
Degrees
Academic degrees and diplomas
Institutions
Universities and schools
Skills
Technical and soft skills
Certifications
Professional certifications
Languages
Language proficiency
The Smartest Way to Parse Resumes
99.7% Parsing Accuracy
State‑of‑the‑art NLP and ML models trained on millions of resumes across industries ensure highly accurate extraction.
Screen Candidates 10x Faster
Convert raw resumes into structured profiles in seconds so your team can focus on interviewing, not data entry.
Any Resume Format
Handle PDFs, Word, text, HTML, and even image‑based resumes, including creative and two‑column layouts.
50+ Languages
Parse resumes in 50+ languages with models tuned for multilingual CV formats and localized conventions.
Built‑in Skills Taxonomy
Normalize and categorize skills automatically for better matching against job descriptions and internal frameworks.
Enterprise‑Grade Security
SOC 2 Type II controls and strong encryption keep candidate data secure and compliant with GDPR and CCPA.
From Resume PDF to Candidate Profile
Sample Resume Snapshot
Any layout, any format, any language.
Upload a real candidate resume and let DigiParser convert it into structured data ready for your ATS or CRM.
Contact Information
Experience Summary
7.5 years of total experience across backend engineering, distributed systems, and cloud platforms.
Education
Bachelor of Science in Computer Science
University of California, Berkeley
2012 - 2016 | GPA: 3.8/4.0
Frequently Asked Questions
What resume formats do you support?
We support PDF, Word (.doc/.docx), text, HTML, RTF, and images (JPG, PNG). Creative and multi‑column layouts are also handled reliably.
Can you parse resumes in different languages?
Yes. We support 50+ languages, including English, Spanish, French, German, Portuguese, Chinese, Japanese, and more.
How fast is the parsing?
Individual resumes are typically parsed in 3–5 seconds, and bulk parsing runs in parallel so you can process hundreds in minutes.
Can I integrate this with my ATS?
Yes. You can export to CSV/Excel/JSON or integrate directly with ATS and HR systems via REST API and webhooks.
Is candidate data secure and compliant?
All data is encrypted in transit and at rest. We follow SOC 2 Type II controls and are compliant with GDPR, CCPA, and similar regulations.
Related Document Types
Process related documents with the same accuracy and automation
Application Form Parser
Process job applications alongside resumes
Identity Verification Parser
Verify candidate identity during hiring
Also Works With
Integrate with other document processing workflows
Ready to Automate Resume Screening?
Join recruiters and HR teams using DigiParser to turn raw resumes into structured candidate profiles. Start with 20 free resumes today.