Save 10+ hours/week by automating resume conversion — no manual copy-paste, no formatting headaches.
No more scanning PDFs line by line. Extract names, contact details, education history, work experience, skills, and more — instantly.
Recruiters save up to 10+ hours/week using PDFData automated resume parsing.
You're in control. Just tell PDFData what you want to extract — name, email, skills, job titles, LinkedIn URL, certifications, etc.
Perfect for building candidate databases, applicant tracking, or importing into HR software.
Our automated resume parsing technology works with any resume format—whether it's designed in Canva, Word, or exported from LaTeX. PDFData intelligently reads and extracts candidate details from even the most complex PDF layouts.
With our PDF resume parser for HR, you can seamlessly convert resumes into structured Excel or JSON files—no templates or manual input required.
Upload → Define fields → Get structured JSON or CSV output in seconds.
Great for processing resumes in bulk or during job application surges. 99% field extraction accuracy on 97% of resumes tested
Specify exactly what fields you want:
No need to build custom parsers — just define the data in plain language.
Upload multiple resumes at once and get clean, consistent output.
Perfect for high-volume hiring teams or recruiting firms.
Easily import extracted data into Airtable, Excel, Google Sheets, or your backend system.
We respect candidate privacy. All documents are processed securely, and you can delete them anytime.
Your data is never used to train any models or shared with third parties.
Drag and drop your candidate PDFs into our intuitive interface.
Tell us what information you need to extract from each resume.
Export as CSV, JSON, or Excel.
"We used to spend 20–30 minutes per resume. Now it takes 10 seconds. PDFData has totally changed how we shortlist candidates."
Tech Recruiter
Stop wasting time copying and pasting.
Let PDFData turn unstructured resumes into clean
data — fast.
No credit card required.