AI Resume Data Parser
Upload a resume and instantly extract name, email, phone, skills, and work experience.
What Is This Tool?
Pulls contact details, work history, education, and skills out of a resume in seconds — turning a PDF or scanned CV into structured fields instead of a page you have to read manually.
How It Works
Identifies and categorizes a resume's contact information, professional experience, education history, and technical skills into clean structured output, using OCR for image-based resumes and direct parsing for text-based PDFs.
Key Capabilities
Structured field extraction
Name, email, phone, and LinkedIn are pulled out individually, not left buried in a paragraph.
Experience and education parsing
Work history and education entries are separated and organized by section.
Works on scanned resumes too
Image-based resumes (JPEG, PNG) run through OCR first; text-based PDFs are parsed directly.
How to Use
Upload the resume
PDF or image formats both work.
Contact info, experience, and skills are extracted
The parser categorizes each section automatically.
Review the structured result
Copy or export the parsed data.
Common Use Cases
- Screening a stack of candidate resumesQuickly pull structured details from multiple resumes instead of reading each one fully.
- Converting your own resume to structured dataExtract your details in a structured format for another application form or system.
Privacy & Security
Resumes are parsed for extraction only and aren't stored afterward.
Frequently Asked Questions
What formats does the resume parser support?
The parser accepts standard PDF resumes as well as image formats (JPEG, PNG). It uses OCR to extract text from images and parses structured PDFs directly.
What information does it extract?
The tool automatically identifies and categorizes contact information (email, phone, LinkedIn), professional experience, education history, and technical skills into a clean, structured format.
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