What does every ATS system actually do?
Before we go through each system individually, let's understand the function they all perform.
An applicant tracking system is a program that receives CV files, converts them into text, then tries to extract specific fields from them: the name, contact details, experience, education, and skills. After extraction, it stores this data in a database and lets the recruiter search and filter by keywords. In other words, the system's first job is not to "judge" your competence, but simply to read your file accurately. If the reading fails, your strong data is lost before anyone evaluates it.
This explains why strong candidates get rejected automatically: not because the system is "smart" enough to reject them, but because it couldn't read their visually complex file. To understand this aspect in depth, see our guide on why ATS systems reject your CV — it complements this page from the angle of common mistakes.
- Converting the file into raw text (Parsing).
- Extracting structured fields from the text.
- Storing the data and enabling keyword search.
- Ranking candidates by how well their skills match the job description.
The five most common systems and how they handle your file
An honest overview of each system, without claiming to know its internal secrets.
Workday
One of the most widely used systems among large corporations and multinationals operating in the Kingdom. It's known for a portal that often asks the applicant to upload the file and then fill out a form with separate fields (experience, education…). The advantage for you: fill the fields accurately, because they are the primary source of data, and make sure your uploaded file is clean text so the system can auto-fill what it can without confusion.
Oracle Taleo
One of the long-established, widely used systems in institutions, banks, and the semi-governmental sector. It clearly relies on extracting text from the uploaded file, so it rewards simple single-column formatting and is negatively affected by tables and columns. The practical rule with it: real text and standard section headings, no graphics and no text boxes.
SAP SuccessFactors
Part of the broad SAP ecosystem, common among organizations that manage their human resources on SAP. Like its peers, it needs a file that is easy to convert into structured text. There is no special "SAP trick"; the file that reads in Taleo reads here too, because the extraction principle is the same.
iCIMS
A widely used cloud recruitment platform focused on the application experience and candidate management. It handles the file the same way: text reading and then keyword matching. Placing contact information in the body of the page rather than in the document header helps here as it does elsewhere.
BambooHR
Common among small and medium-sized businesses and startups. Its experience is simpler than the large enterprise systems, but it still relies on reading a clean file and clear keywords. A file compliant with the large systems is compliant with it all the more.
And other local systems
Alongside these, some government entities use national recruitment platforms with direct form-based interfaces. The principle does not change: clear text data and carefully filled fields are read everywhere.
Notice the common denominator: each system may differ in its interface and application experience, but the "convert the file into text, then extract and match" mechanism is nearly identical. This is exactly why you don't need a different file for each system.
Why is one clean file enough across all of them?
This is the practical takeaway that saves you significant time and worry.
Because the systems share the basic principles, what makes your file readable in Workday makes it readable in Taleo, SuccessFactors, iCIMS, and BambooHR. There is no "version for Workday" and "version for Taleo"; rather, one version that respects the extraction rules by which all these programs operate. Anyone who sells you the idea that each system has a secret internal trick is exaggerating — the detailed internal behavior of each vendor is undisclosed, and the safe approach is to build on confirmed, general principles.
- A single column from top to bottom, with no tables or intersecting columns.
- Real, selectable text, not images that contain information.
- Standard, well-known section headings that all systems recognize.
- Contact information in the body of the page, not in the document header/footer.
- Keywords matching the job description in its own language.
These five rules are the safe common denominator. Apply them once, and your CV will be ready for almost any portal you encounter in the Saudi market.
The role of keywords across all systems
After the system successfully reads your file, the matching stage begins.
Converting the file into text is only the first step; after it, the recruiter — or the system automatically — searches for keywords that match the job description. Here, the file that uses the exact terms of the ad wins. If the ad asks for "data analysis," use that exact phrase, not a distant synonym, because the systems match words, not meanings. To detail this point, see our guide on keywords in the CV — it explains how to extract them from the ad and distribute them intelligently.
But be mindful of two important limits. First: do not stuff keywords without context or real experience, because obvious stuffing hurts you in front of the human reviewer who comes after the system. Second: matching does not mean lying — mention only the skills and experience you actually have. Keywords open the door, but the honesty of your content is what keeps you in the race.
How do you prepare a file that passes all these systems?
Ordered steps that turn the previous principles into a file ready to submit.
- Build the clean structure: a single column, standard headings (Summary, Experience, Education, Skills), and consistent dates.
- Write real text: avoid tables, boxes, and icons, and make every important piece of information selectable text.
- Match the keywords: read the job ad and borrow its terms precisely within your experience and skills.
- Review the file format: save a text-based PDF version and a backup Word version, because some portals require a specific format.
- Fill out the portal forms carefully: in systems like Workday that ask you to fill fields, enter your data manually and accurately, and don't rely on automatic extraction alone.
- Check before sending: run the file through a checker tool to confirm that its structure and words pass the criteria.
This sequence ensures that a single file passes any system you may face, whether it's a large enterprise portal or a small startup's tool.
Confirm your file's compliance with the common behavior of ATS systems
The final step before applying is actual verification.
Instead of guessing, run your file through the free ATS checker from cvmizan to get an instant compatibility score without registration. The tool does not claim to simulate the secret internal behavior of any specific vendor; rather, it analyzes your file according to the common, confirmed behavior shared among applicant tracking systems: Is the text extractable? Is the structure a clean single column? Are the headings standard? Are the keywords present? These are exactly the factors that determine how your file is read in Workday, Taleo, and their siblings.
And because the service is automated and relies on artificial intelligence, its output may sometimes include an imperfect judgment; therefore, treat the score as a strong indicator for improvement, not a promise of a job or a guaranteed score. And if you want to turn your file into a fully improved version with a detailed evaluation and a ready Word file, take a look at cvmizan's four options starting from 4.99 SAR, or begin the journey from the start page.