Free AI Tool
Optimize your CV for any job description in about a minute
Upload your CV, paste a job link, and see which keywords you already match, which ones you can add truthfully, and the exact lines to rewrite.
What is the CV optimizer?
The CV optimizer compares your CV with one specific job advert and tells you what to change so the two line up. You get a keyword match score, a list of the job’s keywords sorted into “already there”, “you can add this” and “missing”, and a set of before-and-after rewrites for the lines that matter most.
It’s built for anyone applying to roles that use applicant tracking systems (ATS), which covers most mid-size and large employers. It’s especially useful if you’re changing careers, because your experience is often relevant but described in the language of your old field.
Methodology
The tool follows the same two checks a recruiter runs. First, does the CV contain the skills, tools and qualifications the advert asks for, in words that keyword filters will recognise? Second, is each claim backed by real experience on the page? An AI model (via OpenRouter) reads the job description and pulls out 12 to 25 requirements in the employer’s own wording, marking each as must-have or nice-to-have.
Each requirement is then checked against your CV. If the exact term appears, it counts as matched, whatever the model thinks. If your CV shows the skill under different wording (say “ran weekly client reviews” for “stakeholder management”), it’s marked as something you can add truthfully. If there’s no evidence, it’s a gap. The model is told never to invent employers, dates, tools or numbers, and to leave a [bracketed] placeholder when a figure would help but isn’t in your CV.
How is the match score calculated?
Must-have requirements count double and nice-to-haves count once. Your current score is the weighted share of requirements your CV already covers. The potential score adds the ones you can add truthfully, so it shows how far honest edits can take you without making anything up.
The score bands are: 0 to 40% low match, 41 to 70% fair match, 71 to 89% strong match and 90 to 100% excellent match. The scoring runs in our code, not inside the AI, so the same keyword list always gives the same number.
Is this CV optimizer free?
Yes. It’s free to use, with no account, no email and no watermark on the results. There’s a light per-minute limit on each connection so the tool stays available for everyone.
What is unique about this CV optimizer?
Most CV checkers give you a score and a list of missing words, which pushes people to stuff keywords they can’t back up. This tool separates what you can add truthfully from what you genuinely lack, and gives you the rewritten line rather than a vague tip. It also reads the job straight from a link, so you don’t have to copy and clean up the advert first.
Your CV isn’t stored. The file is read in your browser, and only its text is sent for the analysis.
How can I act on my results?
Start with the top three suggested changes, since they’re ordered by impact. Then make sure every must-have keyword you can claim appears at least once, ideally in both your summary and the role where you used it. For real gaps, mention them in your cover letter if you’re learning the skill, or pick a short course and add it to your CV once you’ve finished it.
For technical gaps such as SQL, Python or data visualisation, DataCamp has short, hands-on courses you can finish in a few evenings. For broader skills like project management or CV writing itself, browse the Coursera catalogue, where many courses come with a shareable certificate.