# AI Resume Analyzer > AI resume analyzer: a free score out of 100 for your career stage. The full report explains every deduction and rewrites your weakest bullets for 2 credits. Source: https://www.revquix.com/tools/resume-readiness-report Cost: free tier with no signup, AI tier 2 credits --- The Revquix AI Resume Analyzer scores your resume out of 100 on eight published, weighted dimensions for your career stage. The score is free with no signup, and the full report with every deduction explained costs 2 credits (new accounts get 20). ## At a glance - You give: One PDF or .docx, plus a target role if you have one - You get: A 0–100 score, 8 weighted dimensions and every deduction named - Takes: Under a minute, and a PDF you can keep - Costs: 2 credits for the full report - the score alone is free ## How the score is calculated The Revquix Readiness Score is arithmetic, not a judgement call. Eight dimensions are scored 0–100 independently, then weighted and summed: parseability, structure and completeness, impact and quantification, skill coverage, timeline integrity, language hygiene, career trajectory and scope, and screening risk. The report shows each dimension's sub-score, the weight actually applied, and the exact number of points it contributed - and those contributions add up to the total in front of you. The weights are calibrated to career stage, because a fresher and a director are not the same document. A fresher is weighted towards demonstrated skills and complete sections; a leader towards trajectory and the scale of what they have owned. We tell you which stage we read you as, and what in your own dates produced it, so you can argue with it. Every stage's full weight table is published - not only yours. Bands are fixed thresholds rather than model labels: 0–49 needs work, 50–69 getting there, 70–84 strong, 85–100 excellent. Because the band is deterministic, the same file scores the same on every run for a given rubric version - which matters more than it sounds, because people screenshot these numbers and compare them with friends. Revquix score bands, rubric r1. A resume a parser cannot read is capped at 55, whatever its content.: | Score | Band | Where to start | |---|---|---| | 85-100 | Excellent | Send it, and tailor it to each job description rather than chasing points | | 70-84 | Strong | The top three fixes on the result, ranked by points recovered | | 50-69 | Getting there | The top three fixes, then any section the result marks as missing | | 0-49 | Needs work | Anything the ATS check marks as blocking, since an unreadable file caps at 55 | ## Why the AI never produces the number The language model in this pipeline is handed the findings our own code has already computed and asked to explain them and rewrite your bullets. It is not asked to score anything, and it structurally cannot: the JSON schema its response is validated against contains no numeric fields at all. This is the difference between a score you can argue with and a score you can only accept. Most resume scorers let the model do the scoring, which is why running the same resume twice through them gives two different numbers. Ours is computed in Java against weights you can read. ## What it will not do It will not invent your facts. Where a bullet needs a number and your resume does not contain one, the rewrite inserts a clearly marked placeholder and lists it separately, flagged in the interface - it never asserts a metric you did not supply. A fabricated figure you paste into a real resume is an interview you fail. No applicant tracking system shows candidates a score, so no outside tool can reproduce a company's own. The Readiness Score is our published rubric for how well a resume survives a parser and a recruiter's first read. Our free ATS checker shows it as your ATS score; this report explains every point of it. ## Questions people ask ### Is this an ATS score? It is the number our free ATS checker shows as your ATS score, and it is our own rubric rather than any company's. No applicant tracking system shows candidates a score, so no outside tool can reproduce one. This is the Revquix Readiness Score: published in full and versioned, with every deduction traceable to a weight you can read. ### Will the same resume always get the same score? Yes, for a given rubric version. The arithmetic is deterministic - no dependence on the current date, and none on the order findings were assembled in. Where a model reads your resume to decide which skills it demonstrates, that reading is cached against the document itself, so re-running the same file replays the same verdicts rather than asking again. If we change the weights we publish a new rubric version, and every report records the version it used. ### Does the AI rewrite make up achievements? No, and this is enforced rather than requested. Rewrites restate your own material. Where a bullet clearly needs a figure your resume does not give, the output inserts a marked placeholder and lists it in a separate placeholders section so you can fill it in with a real number. ### Is the AI Resume Analyzer free? The score is free: the ATS Resume Checker shows it for any resume, once a day without an account and 4 times a day with one. The full report, with every fix explained for your resume and your weakest bullets rewritten, is 2 credits, and a verified signup grants 20. There is no subscription. ### How is it different from an ATS checker? The ATS Resume Checker answers whether a machine can read your file: it shows the exact text a parser extracts and flags layout problems, using no AI. The Analyzer answers whether the content is any good once it is read: impact, skills, timeline, language and screening risk, scored on the same published rubric, with every deduction explained in the full report. ### What is a good resume score? 85 to 100 is excellent, 70 to 84 is strong, 50 to 69 is getting there and 0 to 49 needs work. The bands are fixed thresholds, not a model's opinion, and a resume a parser cannot read is capped at 55 however good the writing is, because a recruiter behind that parser never sees it. ### What does the AI Resume Analyzer check? Eight dimensions, each scored 0 to 100 and then weighted: parseability, structure and completeness, impact and quantification, skill coverage (matched by meaning, not exact keywords), timeline integrity, language hygiene, career trajectory and scope, and screening risk. The report shows every dimension's points, and they add up to your total. ### Does it work for freshers? Yes. The weights change with career stage, from fresher to leadership, because a fresher and a director are not judged on the same things. A fresher is weighted towards demonstrated skills and complete sections rather than years of scope, and the report says which stage it read you as and why, so you can check it. Every stage's weight table is published. ### Is my resume used to train AI? No. Nothing you upload is used to train a model. Before any AI call your name, email, phone, address, date of birth and links are replaced with tokens, and employers become "Company 1". Uploads are deleted after 24 hours if you are signed out and 30 days if you are signed in; reports are kept for 12 months. ### What happens to my resume file? It is stored to produce the report and then deleted - within 24 hours for an anonymous run, within 30 days for a signed-in one, unless you explicitly save it to your profile. Before any AI call, your name, email, phone number, address and date of birth are replaced with tokens. ### Do I need to give it a target role? No, but it makes the skill-coverage dimension considerably more useful. With a target role we can list the skills that role expects and which of them your resume does not evidence. Without one, that dimension scores evidence and density only - it degrades, it never errors.