classic parser
Classic resume parser helps you standardize skills data, making it better suited to your search and matching needs.
images parser
Resume parser for image processing allows you to convert different types of documents (pdf, jpeg, png) into editable and searchable data.
CV summary parser
The resume parser for CV summary performs an analysis to provide summary information of specific parts of the CV.
main features
Why do our customers use this resume parsing?
- Recruiters can easily find and access the CV section they need.
- It works way faster than human reading, reducing human effort and making all the information accessible more easily.
- It is useful if you do not want to share a candidate’s personal information.
how can it work for you
How does the resume parser for image processing work?
The resume parser can parse any resume format. It converts resumes to images and, thanks to an integrated image processing software – the Optical Character Recognition-, it recognizes the CV sections and it can:
- divide the CV into different parts: personal data, work experience, education, skills, image and other information;
- return the complete CV with the candidate’s personal data censored out;
- return the candidate’s complete CV.
For more information, please visit the technical section.
main features
Why do our customers use this resume parsing?
- Recruiters can easily find and access the CV section they need.
- It works way faster than human reading, reducing human effort and making all the information accessible more easily.
- It is useful if you do not want to share a candidate’s personal information.
how can it work for you
How does the resume parser for image processing work?
The resume parser can parse any resume format. It converts resumes to images and, thanks to an integrated image processing software – the Optical Character Recognition-, it recognizes the CV sections and it can:
- divide the CV into different parts: personal data, work experience, education, skills, image and other information;
- return the complete CV with the candidate’s personal data censored out;
- return the candidate’s complete CV.
For more information, please visit the technical section.
