HACKER Q&A
📣 ATSPASSKIT

How much does ATS parsing penalize modern CV layouts?


I’ve been looking into how Applicant Tracking Systems parse CVs and I keep seeing a gap between assumptions and actual behavior.

In tests with different CV versions, text-first, minimal layouts seem to preserve information better than visually structured ones.

I’m curious how much real-world evidence there is behind common ATS advice versus folklore.

For those who’ve worked with hiring systems or done testing: Have you seen measurable differences in parsing accuracy based on layout?


  👤 Oras Accepted Answer ✓
Depends on which ATS and what you mean by `preserve information`.

Sophisticated ATSs use CV parsers such as Text Kernel, Rchili, and Dextra.

They don't just parse; they also return structured data from the CV, such as personal information, skills, work history, and dates.

Even for LLMs, I wrote a CV parser that uses Mistral OCR to extract the text and an LLM to structure the data, with great success, even for multilingual CVs.