UAE Hiring Software Reads a CV Before Any Recruiter Does

When applying for positions in the UAE via company career portals or major regional job boards, all applicants’ resumes are scanned by software before any recruiter sees them. This software does not assign scores or even reject candidates. It extracts all text from the resume and divides it into the following five fields: name, contact information, work experience, skills, and stores them in a database to be searched by an individual. Therefore, an ATS-friendly resume will outperform a visually attractive resume when searching for a job in the UAE. If the software cannot distinguish between your phone number and job title, the incomplete information will remain in the database and other profiles will be completed.

The fact that your resume may read well to a human and not to the software is awkward. You view layouts; the software views unformatted text. Surviving an initial reading is dependent on how the software processes your resume.

This article provides general information on the operation of recruitment software in the UAE and does not constitute legal, immigration, tax or financial advice for your specific situation.

Reviewer: a senior market-acquisition and recruitment expert or human resources management software, reviewing the components and processes of the technical accuracy of the parser and how the UAE recruitment platform conventions are applied, and publishing this article with a date of review and author.

How UAE Applicant Tracking Systems Screen Your CV Before Human Review

After a job application has been submitted, there is usually a period of silence during which many people assume that a robot is processing their CV. However, there is a definite process for handling CVs that have been sent to employers in the UAE or through regional boards like Bayt. At the time a candidate’s file reaches a UAE employer or Board, the file is typically “captured” by the employer careers portal or the Board (e.g., Bayt), and then the file is parsed (added to) into A database that contains structured fields within the file.

The process flow of a CV through the system according to Bayt’s own explainer is that the CV will first be scanned by the system. The information contained in the scanned CV will then be matched against the specified requirements of the job. The system will then apply matching criteria to the information and filter or rank the resulting profiles for further review by the recruiter. At this stage, your expertly laid out CV may no longer be thought of as a physical document, and instead be viewed as a database record.

The actions taken by these records are always at the hands of human recruiters. According to Greenhouse, more than 7,500 employers use their hiring software; they provide their own account of how job applications are received after submission. When an application is submitted to Greenhouse for review, it is placed in a queue on a recruiter’s dashboard. Most recruiters review applications in the order in which they arrive, while recruiters who receive a heavy volume of applications for a single position may choose to search the queue of submitted applications by filters and keywords rather than reviewing each individual CV.

Where an application is automatically rejected, the rejection process is entirely driven by rules defined by recruiters. For example, if an applicant provides a disqualifying answer to one of the recruiter-defined screening questions (e.g., “Are you legally able to work in this country”), the applicant will automatically be rejected. As per Greenhouse, the rules for automatic rejections are set by recruiters, not robots.

The 75% rejection myth, traced

Where did the concept of a robot that consumes CVs originate? The assertion that ATS eliminates 75% of resumes before human review comes from Preptel, a job placement firm that went out of business in 2013, and there was no evidence to support this assertion. Christine Assaf, a consultant to the HR industry, traced it after seeing it repeated by several different resume coaches. According to Christine, ATS does not reject resumes automatically, but rather weighs, sorts, and filters resumes before they are evaluated by a human reviewer.

The difference between resume rejection and subjectivity has not reached most job seekers. For example, one participant in an r/UAE discussion thread stated that after learning about the term ATS, they thought that “ATS is a score from 1-10 or 0-100.” Other users in that same thread had to correct this user. The confusion surrounding what an ATS actually is may lead job seekers to chase after something that does not exist, while allowing the underlying problems associated with empty or disorganized applicant tracking system databases to go unaddressed.

The extraction/search method used in each emirate and by each employer remains a constant. The process of extracting data, then performing a search on that data from all three sources described above: private companies on the mainland, free zone companies, and multinational companies who implement a global Enterprise Resource Planning (ERP) application all use the extraction/search method because this is how their software has been coded, rather than there being a hiring pattern for companies located in the free zones or in particular Emirates. By September 2026, the method of extraction will remain consistent across the UAE for all hiring methods, so the ultimate goal will be to ensure a “clean” extraction occurs when you deliver a pure text stream to the parser, ensuring that the final CV does not contain any missing information. If you provide the parser with a format it cannot process, not all information contained within your CV will be available to a HR recruiter, creating the situation referred to as the “Geometry issue” that will be elaborated on in the following section.

Why Multi-Column and Canva Resume Layouts Scramble Automated Parsers

The way a two-column resume appears on your computer screen seems very well ordered: Skills appear on the left and Experience appears on the right, with everything in its proper place. However, the way that parsing software actually reads a PDF or Word document is not by “left” and “right” — rather, it reads the document text as small pieces of text that have positional data associated with them. The parsing software must then determine what the reading order is from the positional data.

The easiest and most widely used way for them to read a document is to read it as multiple bands of text, moving from the top of the document to the bottom of the document. Because the document layout is built using columns, the formats will not work together properly. Each band is built using the first line of your Skills column combined with the first line of your Experience column and the second line of your Skills column combined with the second line of your Experience column… The result is that the parser, when it created your document, mixed your Skills list together with your Work History using a method described by Hicham Rabbaa, who builds parsers for a living, as “word soup.”

The Workday extractor has a second form of error, which is more subtle: it cannot determine which block a line belongs to. Therefore, it cannot determine the field that line should be printed in. Workday’s Technical Analysis of the Parser states explicitly that a two-column format does not provide the extractor with a no reliable way to accurately match the text adjacent to the title of the position with either that position or the adjacent block of text. This leads to the possibility of an employer being assigned to the wrong date, an employer pairing that is incorrect, and an applicant’s most current job (the one primarily used by recruiters for filtering) arriving at the moment of processing as blank.

Why Canva templates fail hardest

Every risk that has been outlined above has been combined into a single file that has been created using a Canva template. In contrast to a word processing application, Canva is an innovative design platform that creates a visual representation of design ideas. Each element of a design, including its title or heading(s); the block that contains a person’s contact information; and the icons used in the design are each contained within their own separate container. All of these containers are independently positioned on the canvas and are not part of the continuous flow of a document as with a word processing application. In addition, Canva’s design tools export the design content as a layers of text on top of vector shapes, which means that many of the extracting tools currently available cannot read any of the text exported from Canva. Most of the ATS-friendly template collections listed inside these design tools have been produced by individual creators, and not verified by a verifying parsing vendor. As noted in our Careerkit’s Canva analysis, the ATS-friendly designation is a label chosen by the creator of the template, and only the exported document will provide any information about the use of a specific label designating a Canva template as ATS-friendly.

It is not an isolated observation. MIT’s career office cautions students against using tools such as Canva, LaTeX, and the various online builders because they produce formatting that will confuse Applicant Tracking Systems. Text boxes, tables, and graphics are also at risk of being distorted, ignored, or deleted by an ATS. One of the most damaging formatting choices is the styled header section that is used by almost all well-designed templates, which place your name and contact information in a coloured box while the specific fields used to reach you are lost.

Searchable is not the same as parseable

This is the area that misleads individuals. Open the same PDF file from Canva and press Ctrl+F, then look for your phone number; it is present. However, not knowing how to effectively parse the results does not mean that your phone number can be extracted. Ctrl+F simply confirms that your phone number exists in the document, but the parser must read the characters in the correct order and associate them with the proper data field in its database. When text in the document is placed randomly and/or in the wrong location, the parser will not have access to all of the text contained in the document, even if it has all of the necessary words. Therefore, if a phone number is not associated with an individual’s name, it will not count as a valid phone number during the hiring process.

There is certainty as to how each Vendor functions as they publicly publish their methods. The Greenhouse Vendor has documented a list of document formats that provide for their unsuccessful resume parsing: Fixed Column Format, Name and Contact Details contained in Header, Footer or Text Box, Images and Graphics, Complex Tables, Uploading Files as an Image (versus Document). This list represents the majority of all design templates and is applicable to all UAE Recruiters as of September 2026 as the extraction process for resume data is embedded within the software.

The solution in principle is quite straightforward – provide one continuous uninterrupted stream of legitimate text to the parser; yet the term “straightforward” significantly understates the cost of not achieving success because nothing indicates a parsing failure occurred. In the following section we will document the cost of parsing failure on a field-by-field basis, and illustrate this with a comparison using two distinct instance of the same CV.

What a Real CV Parser Extracts: Comparing Clean Text Against Designer Formatting

Parser output is not mysterious — vendors publish exactly what their software writes. Affinda, the parsing engine Bayt.com adopted for its own platform (Affinda’s customer story puts Bayt’s volume at 6.5 million resumes a year), publishes its full resume-parser field schema: candidateName, email, phoneNumber, location, rightToWork, availability, then workExperience entries with organisation, title and date range, education, and a skill list normalised so variants collapse into one filterable value.

Every applicant tracking system (ATS) produces a parsed record that looks like the one above when the records of an applicant fail. The term “failed parsing” indicates that specific areas of an applicant’s record had missing fields or were combined incorrectly with other information.

The following section illustrates how the two different layouts for the same applicant (Maya) were processed by a parsing system. These two synthetic documents provide examples of how different layouts affect the parsing system’s ability to accurately extract the required fields.

Layout A is a simple one-column layout with no special formatting. Layout B uses a left-hand sidebar, with Maya’s name, phone number, email address, visa status and notice period, and various skills appearing across the left-hand side and her work history appearing in the right-hand side of the document in a more designed format (similar to those created by Canva).

The side-by-side comparison created for this guide demonstrates how these different layouts affect the extraction process by showing how the two synthetically-generated documents are represented within a recruiter database. The name field now contains a last line of “PROFESSIONAL SUMMARY” that appears at the end of the name field because the extractor did not know where to stop extracting the name. The extractor also mixed unrelated lines into the current title and employer fields — Maya’s visa status was combined with her current job title and her notice period was combined with her current employer.

The skills section has become intertwined with her work history, and now “Nadeen Logistics” could be considered an employer when viewed in the context of a skilled category. A recruiter searching for employers may overlook this element. All the dates listed are still text, but the date differences between her various roles have now disappeared and can no longer be used to perform a calculation to determine her experience level.

There are two things to consider for an accurate assessment of her qualifications. First, the extraction engine capability continues to improve, meaning that at present there are modern parsing engines that can handle a much wider variety of data types than previously. Affinda has stated in marketing material that they are able to successfully process two-column CVs, images and scans, indicating that while the maximum capabilities have improved, the potential for failure has not decreased with the improvements. The July 2026 report that reviewed the controlled layout test revealed that the simple skills grid was parsed perfectly, while only the two-column format of six layouts produced a critical reading order error.

Given the nature of the extraction process, an auditor’s reasonable expectation should not be that everything failed, but that the result was a combination of partial incorrect extractions of at least the fewest items the auditor can afford to lose. In addition, the other information in the right-hand column of her CV could only be recovered because the words existed, in the first instance, as something to be extracted. If her name and telephone number had been included as a graphic, then there would have been nothing left to extract, regardless of whether it sat on the left or right.

Parsing errors are selective in nature; they do not render your CV unusable, instead they simply edit some of the fields, including your Name, Address, Current Job Title and Start/End Dates. Most recruiters in the UAE, however, require CVs to include the next issue to be added at the top of the design layer (and therefore, the first section they look at when reviewing CVs) — thus, UAE specific details such as your address and contact information can frequently be found in the ‘Contact Information’ Section of your CV or Resume.

How to Format UAE-Specific Details Without Breaking Software Filters

Two different sets of rules are conflicting with each other when looking at an individual’s CV (Curriculum Vitae) in the UAE because of International ATS (Applicant Tracking System) recommendation to remove personal information from the CV but on the other hand, the GCC or Gulf recruiters may have different expectations than that of International ATS. An example is the personal information section listed in GulfTalent’s Guide to Dubai Jobs, which suggests including information like Nationality, Date of Birth, Marital Status, Visa Status, and Driver’s License in addition to noting the employer’s preference for candidates who are able to start right away. The solution is not to pick one over the other, but rather that the same personal information fields will remain on the CV, however, there would need to be a different way of displaying this information from where they would have displayed it previously.

The reason these details matter to recruiters is mechanical, not cultural. Visa status and notice period are filter inputs: a recruiter filling a role that starts in five weeks screens for who can legally start in five weeks, before anyone weighs your achievements. The parser schema from the previous section makes the same point from the software’s side — it carries dedicated rightToWork and availability fields, which means these details are extracted and stored as structured data when they appear as plain text.

Where visa status and notice period should live

Write them in the main body flow, directly beneath your contact lines, in the dullest format available:

• Visa status: Employment visa (transferable) — or visit visa, dependent visa, as applies
• Notice period: 30 days — or “available immediately” if you genuinely are
• Nationality: your passport nationality, both if you hold dual
• Driving licence: UAE licence held, where the role involves travel

A warning about the previous statement: The success of these lines is due to their brevity, their factual nature, and their inclusion in body text. If the information was placed in a sidebar, icon bar, etc., the information was added to the three different ways the information could fail to retain its integrity — dropped, fused, or glued to your name. Designers typically hide these pieces in their designs because they consider them “extra” pieces of information. Therefore, information missing from the parsed record is typically the information that recruiters filter by first.

While an image on your CV is considered to be essential in Dubai, it will also depend on which type of employer you’re applying to (e.g. a client-oriented business vs. a multinational firm). “Most companies,” according to GulfTalent’s guide, “will require an image to be included with your CV and it is therefore viewed as critical for any position that is client-facing. Conversely, senior-level roles and positions at MNCs tend to place less importance on including a photo.”

A post on r/dubai thread posted the same dilemma posed to them by others; many commenters concluded that larger companies and multinationals would not accept a photo, whereas many smaller local firms would. One respondent indicated that while it is acceptable to submit a photo with a CV being sent directly to Human Resources, that same photo would not be considered for use in the CV that is sent to the company portal because image files cannot be parsed by the keyword scanning software used on the portal, nor can the text contained in the header be included.

Therefore, treat your CV photo submission method differently depending on the submission channel in September 2026 (CV submission directly to Human Resources will allow for an image file, while CV submissions made via company portals will not have an image file). The parsing cost for anything attached to a CV submission remains constant as established by this industry. An image will not have machine-readable text; therefore, any text contained in an image will likely be lost.

Additionally, images submitted without corresponding text will lead to errors in the placement of information; therefore, do not submit images that contain text written in both English and Arabic, unless you have a document employing both languages; utilize only one language per document and submit an English CV for English job postings and an Arabic CV for Arabic job postings, respectively.

After settling on the fields to be used in preparing your CV and where each field should be placed on the document, the final document decision must be made regarding the content inside the document.

PDF vs. DOCX on UAE Job Portals: Choosing the Parser-Safe File Format

When it comes to hiring platforms and file types, there is no “right” format for your resume as long as the hiring platform accepts either file type. The extension of your resume is the least important aspect of this decision. The most critical thing is whether or not the resume has a clean text layer and whether or not the hiring platform provides guidance on what type of format they want. The old adage that “PDFs always fail” is a myth — it originates from an era when all the common parsing engines used to create searches were unable to parse PDF files accurately. Therefore, as time has passed, the belief that PDF format will fail has been archaic.

As stated earlier, recent testing by industry professionals indicates that text-based PDFs now parse successfully within modern hiring platforms. The failures of PDF format to be accurately parsed were caused by image files and not text files.

To better understand this concept, it’s important to recognize the great differences between the two types of resumes that are saved in .pdf file format. A text-based PDF file will have been exported using either Microsoft Word, Google Docs or a resume builder and every word will be individually selectable. Conversely, an image-based PDF file is nothing more than a scanned document, a scanned copy of a document, or a screenshot and displays just a flat image of the text, without any underlying data.

ATS vendors put the consequence in their own documentation: if a resume looks like it came straight from a scanner, the system can’t see the text to parse it, and the profile comes out blank. There’s a fast way to check your own file — open it and try to highlight and copy a sentence. If the text selects, it’s a real text PDF; if you can’t grab a single word, neither can the parser.

Some ATS (Application Tracking System) vendors even boast that their parsers utilize Optical Character Recognition (OCR) on scanned file types; ocr can certainly be an option for a small number of products from this vendor, but there is no guarantee from the applicant that this will work with the parser technology of the employer’s ATS (Application Tracking System).

When DOCX is the safer call

DOCX (Microsoft Word Document) does not rely on luck for layout and instead generates a clear layout using an explicit ordering method. The Word application creates a single continuous character stream that includes a unique paragraph marker at every location where a new paragraph starts; there is no method for software to misinterpret the character order created when it reads an input file created with two-column format PDF.

This makes DOCX (Microsoft Word Document) a safer format for all of the large enterprise portals that many multinationals operate in the UAE; further analysis of the parser techniques employed by Workday, a two-stage download (upload and processing) application, includes explicit recommendations for DOCX (Microsoft Word Document) as the primary document type for this type of application, recommends DOCX. The analysis indicates that when a PDF (Portable Document Format) is parsed correctly, it must come from a text source (not an application like Adobe Illustrator) and not from a scanning device. DOCX (Microsoft Word Document) is also the practical format for submission through recruitment agencies as the recruiters will often alter the layout of your CV before submitting it.

So the decision rule, in order, looks like this as of September 2026, across UAE portals and boards:

1. The posting wins. If the application asks for a specific format, send that format. Ignoring a stated instruction is a worse signal than any parsing risk.
2. Enterprise portal or instructions unclear? Default to DOCX exported from Word or Google Docs.
3. A modern job board or a direct application with no stated preference? A text-based PDF is fine and locks your layout so the recruiter sees what you designed.
4. Never upload a scan, a photo of a page, or a screenshot of your CV, whichever extension it’s wearing.

The closing of the loop is accomplished with two smaller format notes. One of the things to keep in mind when doing this is that the parser being used by Greenhouse will not process resumes that exceed 2.5MB in size as stated in their documentation; also, the maximum size of all other portals within the industry will also be in the low-megabyte range, therefore, if a CV has too many images or graphics, etc., it will be unable to parse prior to it being received by the recruiter. Additionally, the copy-highlight test discussed earlier serves as the initial check prior to hitting ‘submit,’ and allows you to check the resume for any formatting issues before submitting it. This means your resume will be able to stay in the database of recruiters once you have submitted it. After you have confirmed that your container is correct, you still have to determine what content you are going to place into the search field once your records arrive at that point in their respective database, which will be covered in the next section of this article.

How Recruiters Filter Candidate Databases: Keywords, Knockout Questions, and Ranking

Once your Curriculum Vitae (CV) has been added to a database and indexed, the system has matched it with the type of users who will be viewing your CV: a Human Resources (HR) representative will have a search box and hundreds of other CVs filed in a queue in front of him/her. Most HR representatives will act in accordance with the normal operational procedures: as they access their queue, they will filter for the crowded position and find what they are looking for — by searching for an exact job title, a specific skill set, by geographical location, or filtering based on years of experience or availability.

According to research conducted by Jobscan, almost all recruiters conduct searches using the keyword filter for CVs, while the Greenhouse platform indicates that recruiters conduct search queries against parsed CVs and the platform will also offer suggestions for synonyms of keywords. Because this is not specific to Enterprise Software (ES) per se, according to Bayt (according to the pages of its own platform), it is noted that the vast majority (over 70%) of the employers using Bayt search the CV (RDB) database even without posting jobs. Therefore, a parseable CV continues to work for the applicant after submission, even before the applicant’s CV was submitted.

A key consequence of what has been discussed previously will be a direct factor in that the only text that is able to be searched by HR representatives will be the text that has been parsed. If the current job title has been scrambled during the CV extraction process, the applicant’s name will not be part of the search when the HR representative searches under “current job title,” no matter how good the job title looks when viewed in PDF format.

There are ways to assess whether or not an applicant is ranked among other applicants. However, this does not apply to every platform. Some platforms assign scores to applicants against the requisitions and JobScan has documented the Req Rank for Oracle Taleo; whereas, the Greenhouse platform has indicated that it does not compute or assign scores or ranks for applicants using its platform.

The only consistent filter across the board is the human-developed filters that have been placed on work authorisation, location and years of experience or certification requirements; all of which have been created by recruiters and contain a “knockout” answer to disqualify you from going through the application process before they even read anything in your CV. The rejection email you receive in the middle of the night is not due to a computer rejecting your CV, it is a result of a knockout rule being applied to your knockout answer. Therefore, make sure you answer the questions as carefully as you create your CV.

The content strategy that will follow focuses on being findable over being clever. Bayt’s guidance to Gulf candidates to follow consists of three simple actions: find the exact title of the job in the job posting and use it whenever it accurately describes you; take the skill phrases from the job listing and include them in your CV bullets as part of an actual accomplishment; and utilise standard headings so that each section fits into the appropriate section of the CV.

Abbreviations need to be explained one time with the abbreviation in parentheses, as in “Structured Query Language (SQL),” since recruiters search for both forms of the abbreviation. A talent acquisition professional recently made the same point in the r/dubai forum regarding the design of a CV: The hiring side does not care about the design of the CV as long as the information is easy to read and locate. One job seeker in that thread shared that he conducted his own A/B test on two CVs for the same position. His plain CV received considerably more responses than his embellished CV. While this may not be an empirical test, it supports all of the above findings.

Why the keyword shortcuts backfire

Unfortunately, all shortcut methods will lead you to a dead end — but it is worth seeing how the system works and having a good idea of what to expect. Unlike visible keyword spam (white-text applied), the keyword data reveals itself to the employer/recruiter after the initial color-coded parse has occurred (as evidenced in a Taleo Profile with a parsed entry containing multiple references to “accounting” in numerous locations, [exposes the list]).

A large block of 50 skills will ultimately be interpreted as an attempt to claim that you are proficient in all those skills; therefore, when a parsed profile is presented to a recruiter, the recruiter will identify ‘over-optimization’ as a problem. Over-optimizing with the phrase “social media” repeatedly in the same sentence may survive a parse but not that of a human recruiter. Keep in mind that the parsed profile is just the first audience; the majority of recruiters that perform the first scan will only spend 7.4 seconds doing so, and for those that do so, it is clear that structured documents with clear sections and without clutter will be the document that gets read. HR Dive reported that eye-tracking research put the average first human scan at 7.4 seconds.

The recruiters’ expectations regarding how to format your CV, which I have listed in the UAE CV Format Guides on this website, lead to common areas of agreement, and those areas provide us with the answers we need to check all formatting issues with our CV. This audit will occur at the end of the CV format guides.

The Pre-Submission ATS Audit: An Unscored Checklist for Parser-Safe Applications

The data collected thus far can be verified using your own equipment quickly for no cost. The basis of the audit is a single test simulating how the extraction layer works. The test is successful because it makes your file undergo the same changes applied by the parser: by selecting all the text of your completed CV using Ctrl+A (for Windows users) or Cmd+A (for Mac users), copying it, and placing it into a plain text file (like Notepad or the plain text only version of TextEdit). The contents that appear in that window represent approximately what the extraction software is using for its processing.

You can read what appears in the window in about 30 seconds once you learn what to look for. Your first name should be on a separate line. Your telephone number, e-mail address and city should appear as standard text. If any of these three items is missing, then they were trapped in a header or graphic object. Your section headings should be in the same order as what you wrote, not jumbled together.

Every job title should be next to the employer’s name and employment dates. Thinking about employment years-of-experience calculations, the reason this error occurs is because they are based solely on detached dates. Your skills should be represented as separate words (SAP Ariba and vendor negotiation) instead of unions (i.e., SAPAribaVendorNegotiation). Recruiters’ searches can never work with unions. If the pasting process produces an orderly paste, then the extraction process will provide an orderly record of your file; but if the pasting produces a mixed paste, then the extraction process will write a chaotic entry in your database record, and it cannot be repaired through any downstream keyword tuning activity.

The unscored parser-safety factor list

Before you submit your application, take a moment to complete these steps. This checklist is intended as an aid to using this guide, based on the various layout, field, and formatting errors described in the previous sections; it does not represent an official standard for ATS/Sysco Scores, nor is it a measurement of your eligibility for anything; therefore, it assigns no points whatsoever — each item either needs to be retained as is, or corrected prior to submission.

1. Single-column flow. No sidebars, grids, or tables positioning content — the layout behind most scrambled extractions.
2. Contact block in plain body text. Name, phone, email and city on ordinary lines at the top of page one — never inside a header band, footer, or text box, which is where parsers most often drop them.
3. Standard section headings. Experience, Education, Skills, Certifications. Creative labels (“My Journey”, “What I Bring”) can leave whole sections unmapped.
4. UAE fields as body-flow lines. Visa status, notice period, nationality and driving licence written out under the contact block — the exact fields Gulf recruiters filter on first, and the ones most often lost in design sidebars.
5. Dates in Month YYYY form. One consistent style, “Present” for the current role, each title carrying its own date range so promotions survive.
6. Skills as words. Comma-separated text. Rating bars, dots and icons store nothing a search can match.
7. No image carries information. A photo, logo or infographic contains no text the software can store — and whatever shares its container may vanish with it.
8. A file with a real text layer. Exported from Word or Google Docs, never a scan or screenshot; DOCX for enterprise portals, text-based PDF elsewhere, inside the portal’s size cap.
9. Keywords in context. The posting’s exact title and skill terms inside genuine sentences, acronyms spelled out once, and nothing hidden — parsing exposes white text to the recruiter, it doesn’t hide it.

To get feedback on your own CV and see which fields were actually retrieved by the parser instead of just pasting from a document, use Affinda’s free resume parser — it’s completely free with no registration required and it returns the same field set (your name, contact details, work history, skills, right-to-work, and available), as would be returned to an employer’s ATS by Affinda’s parser. If any fields are returned to the parser empty or incorrectly filled out when you upload your CV, you can fix those issues before you apply through the ATS/Sysco.

Lastly, I want to mention the commercial score checkers. Commercial tools that assign a score to your CV are designed with their own criteria — not necessarily the dashboard the recruiter will see — and are responsible for the confusion that occurred when we started discussing that 1-10 or 0-100 number in section 1 of this guide. There isn’t any one document that is universally accepted as an “ATS compliant CV” as each ATS parses the same information differently, rather there is a document that the ATS in question can read.

The tools mentioned above, if you choose to utilize them, should be viewed primarily as extraction tools. The parsed-text view is genuinely useful; however, the grade does not determine your suitability as a candidate. The audit outlined previously is free, takes only a few minutes, and provides a view of an ATS-compatible CV that corresponds with how the ATS software functions. The only remaining component of this entire process is a confirmation that links everything together.

The One Thing to Confirm

Before a recruiter even gets to see your resume, their hiring software will have scanned it and stored information about you in their database. Unfortunately, this information is not stored in the same format that you sent it in; rather, it is stored as text after being processed by the applicant tracking system (ATS). To see how well you did with your last resume submission, take a few minutes to do a test run of what the ATS actually scanned from your submitted document. Simply copy and paste your resume into a standard text editor, like Notepad or WordPad, and see what you get back. If your contact information, name, employment history (titles, dates), skills and other information come back to you intact and in the order you intended, you’ll know that the ATS will store that exact information in the recruiter’s database. If they don’t come back to you intact, the way your resume submitted to the recruiter’s applicant tracking system, there is no amount of keyword targeting, resume templates, or fancy scores can fix it for you to get a phone call back. It takes just 30 seconds to do this test run, but it may save you a month of wondering why you never heard from that recruiter.

Frequently Asked Questions

Why does a portal ask me to type my work history again after I uploaded my CV?

Submitted applications to a company via an enterprise portal may be screened and searched using a form field format, not using the uploaded file. Before submitting any application, review each field that has been auto-filled as after submitting the application to the enterprise portal all auto-filled fields will be locked in.

If my CV fails to parse, does the recruiter still see my original file?

Your electronically submitted application to a company may contain the original file (generally not as an attachment), but while there is no information about whether the original will be available again, documentation from some applicant tracking systems (ATS) supports vendors say that files that do not parse correctly will still be accessible.

Do I need more than one CV version for the UAE?

A typical application may be submitted in two different formats based on delivery methods, with one application containing Parser Safe information and the other containing a person-to-person connection. This means if a person is in the Gulf region, the file submitted directly to them may include the relevant connections as required. Both formats include the same information regarding your achievements; however, the container or delivery mechanisms are different.