Free resume parser: see what software actually reads

Upload your CV and get the structured data back in seconds. Every field a parser extracts, and every field it could not find, laid out so you can fix the gaps before a recruiter's system does it for you.

  • No signup, no email
  • PDF and DOCX
  • Structured output in seconds
  • Nothing stored

Drop your resume here, or click to choose a file

PDF or DOCX, up to 5 MB

What a resume parser does

A resume parser reads an unstructured document and turns it into fields: name, email, phone, employer, job title, start and end dates, degree, skills. Applicant tracking systems run this step before a human ever opens your CV, and whatever the parser misses is simply absent from the record a recruiter searches. This tool runs the same kind of extraction and shows you the result instead of hiding it.

Why parsing decides whether you get seen

Recruiters search their database by field, not by reading files. If your phone number sat in a header that the parser skipped, or your job titles were inside a two-column table it flattened in the wrong order, you are still in the system but you stop matching the searches that would have found you. Seeing the parsed output is the only reliable way to know which of your details survived the trip.

PDF and DOCX both work

Upload either. PDF is the safer format to send, because it keeps your layout on every machine, but a PDF exported as an image has no text to extract and will come back almost entirely empty. If that happens here, it will happen at the other end too. Export a fresh text-based PDF from your editor rather than scanning or screenshotting a printed copy.

Using it as a CV parser

Resume and CV are the same document under two names, and this works identically for both. If you are applying in Europe, where the CV convention runs longer and often includes a photo and a personal details block, pay particular attention to whether the parser found your contact fields: decorative header blocks and photo sidebars are the most common reason they disappear.

Getting your own data back out

The other reason to parse a resume is to recover the contents of a file you no longer have the source for. Upload an old PDF, read the structured fields, and carry them straight into the builder rather than retyping a document you wrote three jobs ago.

Resume parser questions

What people ask before uploading

Yes, completely. There is no signup, no email capture and no limit on how many files you parse. You only need an account if you go on to edit the resume in our builder and download it.

No. The file is read to produce the fields you see on screen and is not kept afterwards. Nothing is added to a database or a mailing list.

A parser shows you the raw data extracted from your file, field by field, so you can see what survived. A checker scores that data and tells you what to improve. Use the parser to find out what a machine reads, and our resume checker when you want a judgement on the content.

Almost always because it sits in the document header or footer, inside a text box, or inside an image. Parsers frequently skip those regions. Move your contact details into the normal body of the document at the top and parse again.

Skills usually vanish when they are laid out in a table, a multi-column grid or a graphic of rating bars. A plain comma-separated list under a heading called Skills extracts reliably.

No, and deliberately. This page shows extraction, not scoring. If you want a score against a job description, use the resume checker instead.

PDF and DOCX, up to 5 MB. An image-only PDF, such as a scan or a photo of a printed page, contains no selectable text and will return almost nothing.

It parsed. Now you can edit it.

The parser shows you what a machine reads from your file. Open the same document in the builder and fix whatever it got wrong.

Free, and no account to parse a file.