Resume Parser

Turn Your PDF Resume Into Structured Data

Upload any resume PDF. The AI parser reads it and extracts your skills, work history, education, and certifications into a clean structured profile, ready to match against job descriptions.

Parse my resume now
atsresumechecker.pro
Your Original Bullet
"Worked on a team that built a data pipeline that improved report generation"
↓ AI optimizing for this job...
Tailored Result
"Built scalable ETL pipeline in Python processing 2M+ daily events, reducing report time by 60% using Apache Spark"
+Python +Spark +ETL
ATS CV Checker
41
Before
→
84
After
Keywords Added
Python Spark ETL Airflow
Score Improved
+43 points from AI rewrite

Your structured profile in three steps

1

Upload your resume PDF

Drag and drop or click to upload your resume. Files up to 10MB are supported in any PDF format, including multi-column layouts and scanned documents.

2

Parser reads your content

The AI processes the text, identifies sections like work history and education, extracts individual skills, and reads employment dates and job titles from the document structure.

3

Review your profile

Confirm the extracted data and use it to score your resume against any job description. You can edit the profile to correct any parsing errors before running your first match.

What the parser handles for you

Handles complex PDF layouts

Two-column resumes, tables, sidebars, and non-standard section names all get read correctly. The parser identifies content by meaning rather than by position, so your skills do not end up mixed into your education section.

Extracts skills automatically

Skills mentioned in bullet points, summary paragraphs, and dedicated skills sections are all captured. The parser recognizes technical tools, programming languages, certifications, and soft skills without any manual tagging on your part.

Reads dates and employment history

Job titles, company names, employment dates, and gaps in your timeline are extracted and structured. This gives the ATS match engine the context it needs to weight your most recent experience appropriately.

Works with scanned documents

If your resume was saved as a scanned image rather than a text PDF, the parser uses OCR to read it. This covers older resume formats, documents received by email, and resumes exported from graphic design tools.

Common questions

What PDF formats are supported?

All standard PDF formats are supported, including text-based PDFs exported from Word, Google Docs, or LaTeX, and image-based PDFs created by scanning a printed document. Files up to 10MB are accepted. Password-protected PDFs need to be unlocked before uploading.

Does the parser handle non-English resumes?

Yes. The parser supports resumes written in over 52 languages. Section headers, skill names, and employment dates are recognized across all supported languages. The resulting profile can then be matched against job descriptions in the same language or translated equivalents.

What happens if my resume has columns or tables?

The parser handles multi-column layouts by reading content in the logical order a human would, rather than left-to-right across the full page width. Tables are processed row by row. If a specific section is parsed incorrectly, you can edit the extracted profile before running your match.

Parse my resume now

Upload once. Your profile is ready to match against any job in seconds.

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