CV Parsing
Processing a large number of application documents pushes many HR departments to their limits. With the help of CV parsing, relevant data from job seekers can be automatically collected, structured, and made usable. This saves recruiting teams resources and gives them more time to focus on more important tasks in the candidate selection .

The Advantages Of CV Parsing At A Glance
CAPTURE DATA AUTOMATICALLY
How CV Parsing Improves Your Customers’ UX
Manually capturing application documents is time-consuming, monotonous, and prone to errors. AI-powered CV parsing solves these problems quickly and reliably.
To do this, a CV parser—i.e., software for automated resume analysis—is integrated into the corresponding applicant tracking system (ATS) or directly into job boards.
Great Added Value, Reduced Effort
Human resources departments rely on their ATS for recruiting processes. By integrating CV parsing software, ATS can automatically capture, structure, and prepare relevant applicant data. This is a decisive added value for users—and the effort for job seekers is drastically reduced.
The use of a CV parser also leads to a decisive competitive advantage on platforms such as job boards. Find out how the collection and transfer of data from online applications can be automated here!


Create Applicant Profiles Automatically With a CV Parser
When creating an applicant profile on job boards, a lot of information is sometimes required. However, filling out numerous data fields leads to frustration for many job seekers and can result in them abandoning the application process. Your job board thus loses valuable users.
To avoid this, we have developed CVlizer: once CVlizer has been implemented on your job board, job seekers only need to upload their resume to create a profile.
Using the data contained in the uploaded documents, an error-free applicant profile is created in a matter of seconds. Job seekers will love the simple application process—and your customers will love the number of applicant profiles!
Advantages of CV Parsing
Automated data processing using resume parsing gives companies a quick and easy overview of candidates for open positions. The specific advantages of parsing technology at a glance:
Cost Reduction and Increased Efficiency
The manual entry of application data ties up a lot of resources. Highly qualified employees are usually assigned to these tasks. This is also a significant cost factor. Automated CV parsing tools, such as our CVlizer, can drastically reduce the costs of human resources departments: The automated entry of applicant data eliminates manual tasks and increases the efficiency of recruiting processes.
Improved Data Quality
At the same time, CV parsing significantly improves data quality: manual typing is monotonous and prone to errors, while the software can create error-free applicant profiles at the touch of a button. In addition, the automated processes can be scaled to the respective volume at any time. This allows your ATS to stand out from the competition.
Relieve Recruiting Teams and Free Up Resources
By automatically capturing application documents with a CV parser, valuable resources can be used for activities that cannot be performed by software. This allows your customers to focus on conducting interviews and other relevant activities again.


Time Savings For Your Customers
From our own experience, we know that manually transferring resume data into an ATS can take up to 10 minutes (per resume!). Since resumes have different designs, recruiters first have to find their way around. Where is the information on vocational training? Where are the skills for various technical applications? Sometimes you have to filter out the crucial information from lengthy sentences. With an automated solution, ATS can reduce this effort for their customers to less than 30 seconds: search for the document, upload the document, click the CV parsing button, review the results in the ATS.
Extract, Adapt, and Supplement Data From Online Applications
Users of your ATS want data from resumes extracted in the shortest possible time. On a job board, users want to create an applicant profile without much effort. In both cases, we use semantic rules and artificial intelligence to capture the data from the resumes.
However, it is always possible that certain details will need to be corrected manually. This is also an important requirement of the EU AI Act. If, for example, the CV parser misclassifies first and last names, the data can be swapped with CVlizer with a single click. This allows your customers to ensure that only correct data is transferred to the ATS or that the data captured for the applicant profile is correct.
Our process is particularly efficient and compliant: decision-making authority always remains with human operators. AI does the work, humans remain in charge.
How CV Parsing Works
The term CV parsing, also known as resume parsing, is composed of “CV” (curriculum vitae = rĂ©sumĂ©) and “parsing” (analyzing, breaking down, structuring). A CV parser is software that can automatically read and structure relevant applicant data.
With our CVlizer, this can be done in a few simple steps:
CV Parsing
Users upload the desired resume to the job board or recruiters select the appropriate CV in the ATS.
Activate Parsing
Parsing starts on the job board page when the uploaded resume is submitted. With applicant tracking software, recruiters start parsing manually.
Add Data
In this step, users can check and add to the parsing results on job boards or in applicant tracking systems.
Adapt Data
If entire sections of a document need to be re-parsed, simply select the section in the CV with the mouse. Of course, data can also be adapted manually.
Use The Results
Users of job boards can now complete the creation of the applicant profile. Users of an ATS can use the result for further recruitment steps.
Automatically Enrich Applicant Profiles
Applicant profiles are the gold of modern job boards. The higher the quality of the profiles, the greater the demand for them.
Job boards can now create a profile relatively easily based on a parsed resume. Parsing a resume is one thing, but what happens when job seekers also attach certificates and similar documents? The features of our CV parser CVlizer allow you to automatically capture certificates, project lists, references, and much more in various formats (PDF files, Word documents, etc.). This information is used to easily enrich and supplement applicant profiles. This increases the quality of the profiles and ensures that you can always offer high-quality data records.


Automatically Segment application Portfolios
Recruiters are familiar with this situation: someone applies for an open position and uploads a ZIP file. After unzipping it, they find confusingly named documents. Of course, recruiters can open and analyze all the documents, but is that really the best use of their skills? That’s why ATS and job boards need to have a solution ready. CVlizer is the ideal tool for these applications and makes job boards and ATS market leaders!