Calculated, not guessed
Everything numeric is calculated in code against fixed rules. The writing help only touches your wording.
For Gulf & remote job seekers
HazirCV is an ATS CV checker and CV maker for jobs in Dubai, the wider Gulf and remote roles. Before a person reads your CV, screening software may need to read it. HazirCV shows you what gets in the way. Get a score calculated against fixed rules, see the lines costing you points, and export a clean, readable file.
Free to download on iPhone, iPad and Android. See how it works
Specific lines. Clear fixes.
02 examplesL12“Responsible for monthly reports.”
FIX Lead with the work you did. Keep every fact intact.
L08“Operations Executive · 2022–2024”
FIX Add your actual start and end months for this role.
71to80 after you export
Example resultAn AI CV maker for jobs in the UAE, Saudi Arabia, Qatar and beyond. Start with your experience. Make it easier to understand.
Upload a PDF or Word file, photograph a printed CV, or paste or type your text. Every lost point is named, explained and tied to a fix.
Refine your summary, role bullets and skills, section by section. Each suggestion is checked against your CV. Unsupported claims are flagged before you accept.
Paste a job advert to see which terms your CV has and which are missing. Prepare a cover letter using only facts from your CV.
Download a clean, single-column PDF or DOCX. Choose a Gulf or international profile for the application you are making.
“Responsible for preparing monthly reports.”
“Prepared monthly reports.”
Illustrative wording change. No added achievements, invented metrics or new responsibilities.
A CV for Dubai can need different details from a remote application. Keep one source of truth and choose what goes into each export.
Nationality, visa status, notice period and other regional details, only when you choose to add them. A photo is optional too.
A strict single-column layout without those fields, designed for systems such as Workday, Greenhouse, Lever and SuccessFactors.
A check before you shareA one-time warning appears if you are about to send Gulf details to a UK, EU, US or Canadian employer.
A useful score needs clear rules. Writing help needs boundaries. Your data deserves both.
Everything numeric is calculated in code against fixed rules. The writing help only touches your wording.
Your name, phone number and email are replaced with placeholders before any AI request.
Cover letters and rewrites are checked line by line against your CV. Anything the CV does not support is flagged.
Parsed CVs and scores are stored in Dammam, Saudi Arabia. Uploads, exports and servers run in Doha, Qatar.
We never use your CV to train AI models. Your experience is there to help your application.
Delete your account and data from the app. You stay in control of what you share and when you leave.
Seven checks, 100 points, fixed rules. The same CV always gets the same score, and every point lost is tied to a named issue and a fix.
| Check | Points | What is measured |
|---|---|---|
| Parseability | 25 | A real text layer rather than a scanned image, a single column, no tables or text boxes inside Experience and Education, contact details in the body rather than the page header or footer, no text inside images, and standard or embedded fonts. |
| Keywords | 25 | Whether the CV states the target job title and the hard skills, tools, certifications and soft skills expected for the role — measured against a pasted job advert when there is one, otherwise against a role vocabulary. Exact and known-synonym matches only. |
| Structure | 15 | Summary, Experience, Education and Skills sections under standard headings, with roles listed newest first. |
| Contact details | 10 | A detected name, a phone number in international format, a valid email address, a city and country, and a LinkedIn URL. |
| Dates | 10 | Readable start and end dates on every role, one role marked Present, and no reversed or overlapping ranges. Employment gaps are flagged for awareness and never cost points. |
| Bullet quality | 10 | Achievement bullets that open with an action verb, carry a number, run to a sensible length and avoid first-person pronouns and “responsible for” phrasing. Each criterion is scaled by the share of bullets that pass it. |
| Length | 5 | One page for under five years of experience, two pages otherwise, and a normal text density. |
| Total | 100 | HazirCV’s own measure of how screening software reads a CV — not an employer’s score and not a hiring prediction. Any change to these rules is versioned and recorded. |
Check your CV first. Then choose application packs, a fixed pass or a monthly plan to suit your search.
Free forever.
Understand your CV and make your next step clearer.
3 application packs.
Take your next applications one at a time.
90 days.
One payment.
A focused window for your job search.
Month by month.
Keep your plan going while your search continues.
Prices are shown in the App Store / Google Play for your region.
Free to download on iPhone, iPad and Android. Check your CV, see what costs you points and export a clean file.
Write to support@hazircv.app.
Tell us your device and which store you installed from, and we aim to answer within 48 hours.
What the score means, what stays free and how your information is handled.
HazirCV is built and run by Imran Khan, an independent software developer based in Dubai, United Arab Emirates — the same individual named as the data controller in the privacy policy. There is no company behind the name: the person who wrote the code is the person who answers the support inbox.
It was built for the market it serves — expatriate and national job seekers applying to employers in the UAE, Saudi Arabia and Qatar, and to remote roles, whose CVs are read by screening software before a person sees them. Everything numeric is calculated in code against fixed, versioned rules. The writing help only rewords facts already in your CV, and every suggestion is checked against it before you accept.
Spotted something wrong on this page, or want to know how a rule works? Write to support@hazircv.app.
Data stays in the region: parsed CVs in Dammam, Saudi Arabia; uploads, exports and servers in Doha, Qatar. No CV is ever used to train AI models.