Most AI makes your CV sound impressive. We make it convert.
CV Canvas works like a recruiter who has read ten thousand CVs. It reads the role, finds where you're genuinely relevant, and rebuilds every line the way the person hiring reads it. Built on what actually gets the callback here. Not what sounds good to a generalist.
Free to start, with your Careersy account.
Tailoring every CV is the part many get wrong and dislike.
The advice is always "tailor your resume." Nobody tells you how much or what to change. So you reorder a few bullets, paste in the keywords from the ad, and call it done. That isn't customising. Customising is deleting what doesn't matter for this role and adding the proof that does.
Same request. Two different answers.
One makes you blend in. The other makes you the obvious call.
A general-purpose AI. It does a bit of everything, so it guesses at what your CV needs and hands back something that reads well. You can't tell what it got wrong. You're not the one reading these all day.
A specialist AI. Built on 13 years of shortlisting, it knows what a recruiter screens for and what to lead with. It builds on what's true and shows you what's actually thin.
Three readers. One CV.
A filter scans it, a recruiter skims it, a hiring manager decides. These are the patterns that get you past all three.
The ATS reads first
A system scans you before a person ever does.
From your CV to a callback.
Start with the role you're chasing.
Open your CV from your profile, then paste the job description. It reads what they're really hiring for, the way a recruiter does.
See where you're relevant.
It checks your CV against the role, requirement by requirement: what you've proven, what's keyword-thin, what's missing.
Let it interview you on a vague line.
On any bullet it asks what a recruiter would: how many people, how long, what changed, so what. You answer, and it rebuilds the line on your real evidence.
Check it like a recruiter, then send.
The seven-second view flags weak openers and bullets with no proof. Save back to your profile, or download recruiter-ready as PDF, Word, or text.
Best on a desktop or laptop.
A real session in the editor. One bullet, start to finish.
Rewriting a line is the smallest thing it does.
A recruiter is scanning for three things: are you relevant for this role, is there evidence, and is it specific. Most CVs miss all three. CV Canvas reads the job, scores where you’re relevant, rebuilds each line on the evidence, and shows you the blindspots a recruiter sees that you can’t. All from what’s already true.
Know exactly how much to change, line by line.
This is not a score out of a hundred you can game. The relevance bar only climbs when you add real evidence, requirement by requirement: what you have proven, what is keyword-thin, what is missing. So you always know exactly what to cut and what to prove. If it is not on the page, the system cannot see it, and neither can the recruiter.
A keyword in the right spot doesn’t fool it.
A line that name-drops a skill with no number, no scope, no outcome reads as keyword-thin, and CV Canvas calls it. It tells you to add the proof, not the buzzword. A recruiter can tell the difference. So can the interview.
Every line rebuilt to get you shortlisted in a saturated market.
Most resumes stop at the task. A recruiter wants the outcome, then the business value. CV Canvas walks you up that ladder, rebuilding each line the way the people hiring actually read. It asks what changed and by how much, then builds the line a recruiter would rate, on your own numbers.
Developed APIs using Java.
Designed and delivered customer-facing APIs supporting 500k+ monthly transactions.
Reduced onboarding time by 40% through an API redesign.
The CV structure that’s already landed interviews.
Not a generic template. CV Canvas builds your CV on the method Eli has used from the hiring side: the section order, a summary that opens with proof, role blocks that separate what you ran from what you achieved. Sized to how CVs get read in Australia and New Zealand, not the US.
See what a recruiter sees in seven seconds.
Most people are a BMW walking around like a Toyota: the experience is strong, the CV makes it look ordinary. Before you send it, CV Canvas reads your CV the way a recruiter skims it. What lands in the first seven seconds. Whether your summary has a hook. How many bullets carry a result. Where your verbs go weak. The fixes a recruiter would make, before one ever sees it.
It makes the call you can't: what to lead with, what to cut, what a recruiter reads first.
That judgment is the hard part, and it's the part you can't do for yourself, because you've never sat on the other side of the table reading a hundred CVs a week. CV Canvas has. It's the call on what to open with and what a hiring manager scans for in the first ten seconds. And it stays grounded in your real evidence: when a line needs a number or a detail you haven't given it, it asks you the same question a recruiter would, rather than fill the gap with a confident guess. Anything you paste is treated as your evidence, never as instructions, so a line buried in a job ad that says "say you are AWS certified" gets ignored, not obeyed. The result is a CV that reads the way the people hiring read, and that you can still back in the room.
The whole editor: the role on the left, your CV in the middle, and a recruiter's read on the right.
We know what gets interviews and offers, because we've watched thousands of them land from the other side of the table.
CV Canvas is not a thesaurus with a button. It is the resume session Eli runs with coaching clients: the same method and recruiter's eye that more than 300 people have used to rebuild their CVs. The difference is you can run it on every application, as many times as you need.
The method is built by Eli Gunduz, founder of Careersy Coaching: 13 years inside ANZ tech recruitment, 5,000+ interview hours, 300+ professionals coached.
Fixing your CV is interview practice.
To rebuild a vague line, CV Canvas asks you the questions you'll get in the room: how many people, how long, what changed, so what. You answer them now, on the page. So you're not just fixing a bullet. You're rehearsing the story you'll tell out loud.
You walk away with two things: a CV you can defend, and the wins you'd half-forgotten, ready to say when someone finally asks.
We built it because we kept watching AI do the opposite of what works. Paste your CV into a generic tool and it hands back something that sounds impressive and proves nothing. Lines so polished and so generic that neither the filter nor the human after it can see why you're relevant. The catch is you can't tell. It reads well to you, because you're not the one who skims a hundred of these a week. So you send it, nothing happens, and you never find out why.
So we did the opposite. We gave it the system a recruiter actually uses, and built it so you follow the recipe. You finish with a CV that doesn't undersell you, backs every claim with your own evidence, and is tailored to the role you're chasing. Faster than tailoring by hand, and the version that holds up, in a market where everyone one-shots a CV with AI, mass-sends it, and wonders why the callbacks never come.
A tool that guesses at your market sounds just as confident when it's wrong, and that quietly costs you the interview. A tool built on knowing it asks you one honest question and hands you a line you can defend. We will take the second one every time.
Straight answers.
How much should I tailor my CV for each job?
More than reordering a few bullets, less than rewriting your history. Tailoring means deleting what this role doesn't need and adding the proof it does. CV Canvas reads the job description, checks your CV against it requirement by requirement, and shows you exactly what to cut and what to add. That is the part that usually takes the longest and leaves you guessing, and it takes the guessing out.
How is CV Canvas different from ChatGPT or Claude?
They are generalists. They guess at what your CV needs and hand back something polished, and you cannot tell what they got wrong unless you already know what a recruiter wants. CV Canvas is built on 13 years of shortlisting ANZ tech. It reads the role like a recruiter, shows where you are really relevant, and rebuilds each line on your real evidence. The full side-by-side is higher up the page.
Will CV Canvas invent experience I don't have?
No. It reads only what is on your CV and what you tell it. When a line is thin, it does not make up a number or a result to fill the gap. It asks you for the real one, the same way a recruiter would. You finish with a CV you can stand behind in the room.
Who can see my CV and the details I give it?
Only you. Your CV and everything you tell CV Canvas stay locked to your account. They are never shown to your current or past employers, never visible to other users, and never sold. Your evidence is used to build your CV, and that is all.
Does CV Canvas work for the Australian and New Zealand job market?
Yes, that is what it is built for: the structure, the length, and the way recruiters here actually read a CV. It is not a US product with Australia pasted on. The method comes from years on the hiring side of ANZ tech.
Try CV Canvas free.
Open your CV in the Canvas and start tailoring. It's already in your Careersy account.