A resume tool that
tells you the truth.

Why Cvali exists

Applying for jobs used to mean sending a resume to a person. Now it usually means sending a file into a parser. The parser pulls out your titles, dates, skills and tools, matches them against a requisition, and hands a recruiter a shortlist. If your resume was built in a two-column template with your skills in a sidebar, half of that extraction can fail before anyone reads a word.

The frustrating part is that you never find out. You get silence, and silence looks identical whether you were unqualified, mis-formatted, or simply using the wrong words for the same experience. That gap - between doing the work and being read as having done it - is the whole reason Cvali was built.

So the first thing Cvali ever did was give you the feedback loop nobody else does: paste a job description, upload your resume, and see the match score, the keywords you hit and the ones you missed. No account, no card, no waiting.

What it grew into

Scoring a resume is useful, but it leaves you with a list of problems and no way to fix them. So the scanner became the front door to a toolkit that handles the rest of the loop: an AI resume builder that rewrites your experience for a specific role, a cover letter generator that works from the same two inputs, a job tracker so applications stop living in a spreadsheet, and a Chrome extension that scores a listing and fills the application form while you are already on the page.

Alongside the product there are role-by-role guides covering the outcomes, duties, screening criteria and interview questions that come up for over a hundred common jobs - written to be read, not to rank.

How it actually works

Your resume is parsed from PDF or DOCX into plain text. That text and the job description are sent to an AI model, which returns the score, the keyword breakdown and any rewritten content. Results and uploaded files are stored on Supabase so that a logged-in account can come back to its history and job tracker. Anonymous scans are rate-limited using a hashed version of your IP address - never your raw IP.

Nothing you submit is used to train a model, and there are no advertising trackers on the site. The full breakdown lives in the privacy policy, written in plain language rather than legalese.