Free ATS Parser
Upload your resume, run the text check, then open the recovered-text preview. Review names, titles, dates and skills for omissions or ordering problems; extraction methods differ between systems.
Upload resume
Upload your resume
Drag a file here or choose it from your device.
PDF, DOC, DOCX · Up to 10MB · 6 pages maximum
Basic runs text-based checks only. AI adds a written review when a provider is available; results always name the provider actually used.
If you already analyzed a file on the homepage, this tool reuses that result automatically.
Once your resume is processed, this page will show the focused workflow for this tool.
Supported formats: PDF, DOC, DOCX · Max 10MB
Reading the result
A parser turns your file into a stream of text and then guesses which parts are your name, your jobs, your dates, and your skills. The useful thing you can do is look at that stream yourself. These are the checks worth making, and what each failure usually means.
The single most informative check is order. Your name and contact details should come first, then a summary if you have one, then experience from newest to oldest. If your skills list appears in the middle of your job history, or your second job appears above your first, the file has a layout the extraction read in the wrong sequence, which is a reason to simplify and recheck the export. An employer’s parser may behave differently.
A parser builds each job from three things it expects to find close together. When a table or column separates them, the dates end up at the bottom of the page and the title ends up attached to the wrong employer. Look for each role in the recovered text and confirm the three pieces sit next to one another. Dates stranded on their own lines are the most common sign.
Text inside a text box, a header, a footer, or an image often does not come through at all. Contact details in a header are the classic case: the resume looks complete on screen and the recovered text has no email address. Search the recovered text for your email and phone number first, then for your most recent job title.
A PDF preserves how the page looks, not how the text is ordered underneath. Some extraction methods can interleave column content, even when the visual layout looks tidy. Scanned or image-only files have no text layer at all, so they need text recognition first, and that step can introduce its own errors. If your PDF fails, try exporting from the original document again with a single-column layout before assuming the problem is the file type.
This is this site's extraction, so it shows whether your text is readable and in a sensible order. It is not a copy of Workday, Greenhouse, Taleo, iCIMS or Lever, each of which handles headers, tables and unusual fonts a little differently. Treat a clean result as a strong sign your text is accessible, and a messy one as a reliable sign that something in the formatting needs to change.
Most parsing failures trace to four things: columns, tables, contact details in a header, and text placed in boxes or graphics. Convert to a single column, move contact details into the body, replace tables with plain lines, and rebuild the document rather than patching it. Then run the check again on the exported file, since the preview in your editor is not what the employer receives.
Here, a reader means extracting text from a document. A viewer may only display the file. Neither term implies recruiter review or access to an employer’s ATS. Inspect the recovered text and check the actual application fields separately.
Keep the final export and check the recovered name, contact details, titles, employers, dates, and several skill phrases. Correct missing or scrambled text, export again, and repeat the same checks. A successful local parse is not a vendor certification.
It is the part of an applicant tracking system that reads an uploaded resume and sorts its contents into fields such as name, employer, title, dates, education and skills. Recruiters then search and filter on those fields, so anything the parser misplaces or misses is effectively invisible in a search.
Yes. No account is required. Rate limits and document-size limits apply. Upload a PDF, DOC or DOCX, run the check, and open the recovered text. You can repeat it after every edit.
Not identically, and no public tool can promise that. Each applicant tracking system has its own rules. What this shows is whether your text can be read and is in a sensible order, which is the precondition for any of them to parse it correctly.
Almost always because it sits in the document header or in a text box. Many extraction methods skip both. Move your name, email, phone and location into the main body at the top of the first page and run the check again.
Try both if you can. A text-based PDF preserves your layout, and a DOCX is preferred by some older systems. If the two recover differently, use whichever one comes through cleanly, and keep the other as a fallback for portals that insist on it.