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?
- It standardizes your own ATS candidate database from different sources (email, job board, social media, etc.).
- It is used for automatic completion of the candidate registration form.
- It is useful to support you in migrating your candidate database.
how can it work for you
How does the classic resume parser work?
This resume parser includes 3 web services, each for targeted extraction of:
- personal data: first name, last name, email, gender, phone number, date of birth, nationality, region, city, zip code, address, social profile URL.
- professional data: the main profession is returned in text format, while the other data – such as role, sector, career level, etc.. – are returned in tabular form (chosen from a closed set of available entries and not free text).
- languages spoken: mother tongue and other recognized languages, each linked to a specific level, returned in tabular form
Data in tabular form are useful for the matching with information already in your database, as they allow you to perform a one-to-one mapping of the values already there.
main features
Why do our customers use this resume parsing?
- It standardizes your own ATS candidate database from different sources (email, job board, social media, etc.).
- It is used for automatic completion of the candidate registration form.
- It is useful to support you in migrating your candidate database.
how can it work for you
How does the classic resume parser work?
This resume parser includes 3 web services, each for targeted extraction of:
- personal data: first name, last name, email, gender, phone number, date of birth, nationality, region, city, zip code, address, social profile URL.
- professional data: the main profession is returned in text format, while the other data – such as role, sector, career level, employment status, degree level and date of degree – are returned in tabular form (chosen from a closed set of available entries and not free text).
- languages spoken: mother tongue and other recognized languages, each linked to a specific level, returned in tabular form
Data in tabular form are useful for the matching with information already in your database, as they allow you to perform a one-to-one mapping of the values already there.