About Resume Parse
Resume Parse is an independent site about one narrow, unglamorous, genuinely useful subject: how software reads a resume.
We are not a product, a recruiting agency, or an affiliate storefront, and we are not connected to any resume tool or applicant tracking system vendor. There is nothing to buy here. We picked a single topic because it is the part of job hunting most often described in vague, alarming terms and most rarely explained in mechanical ones.
Why only parsing?
Plenty of sites will tell you how to write a good bullet point. Far fewer will tell you what “reading order” is, or why the same resume can extract cleanly from one system and come out scrambled in another. That gap is where people lose applications for reasons that have nothing to do with their experience — a phone number tucked into a page header, a job history laid out in a table, a skills list rendered as an image.
Those are fixable problems, and fixing them takes an hour, not a career change. So that’s what we write about.
How we approach it
- Mechanisms, not statistics. You have probably seen the claim that some large percentage of resumes are “rejected by ATS before a human sees them.” We don’t repeat figures like that. They are unverifiable, endlessly re-quoted, and they don’t help you fix anything. Explaining how extraction actually works does.
- General, not vendor-specific. Parsing behaviour differs by product, by version, and by how a particular employer configured it. We describe what parsers broadly do and flag where behaviour varies, rather than claiming to know what any named system does with your file.
- Testable advice only. If we recommend a change, we try to give you the check that proves it worked. You should not have to take our word for it.
- Original writing. Everything here is written for this site. No spun articles, no reposted content.
What we will never publish
Techniques for showing the software something the human reader cannot see — white text, microscopic fonts, hidden layers, keyword lists buried in document metadata. They are dishonest. They are also ineffective: the extracted text is what a recruiter searches and often what they end up reading, so the trick surfaces exactly where it does the most damage.
The premise of this site is that your resume should be read accurately. That means the machine and the human should come away with the same picture — a true one.