converter to text
Easy tool to extract text from documents, image or video.
text normalization
Tool that reduces the randomness of text, bringing it closer to a predefined “standard.”
semantic engine
It is created exclusively for the world of HR and its trustworthiness comes from the continuous developments and updates that the IT department releases on a monthly basis.
main features
Why do our customers use the normalization of a text?
- Get a structured candidate database to speed up your searches.
- Reduce unconscious bias from an inclusive approach and protect diversity .
how can it work for you (For your IT team)
How does the normalization of a text work?
Text normalization is a tool that can normalize a text, a process that eliminates ambiguities and superfluous elements existing.
We can simplify it with the following sentence:
“We are looking for a waitresses that works directly with customers, showing them to tables, preparing drinks and serving meals.”
becomes
“be look waitress work customer show table prepare drink serve meal.”
It can be used for any type of content (resume, job offer, etc.). Giving a text, this tool allows you to make it clear and perform simple full-text searches.
How? First of all, it excludes superfluous elements such as articles and prepositions from the text read.
Second, it normalizes the text by turning verbs into their infinitive form and nouns into their male and singular form.
Text normalization is useful for creating searches in your ATS, including by word proximity criteria or by the number of words in the text.
main features
Why do our customers use the normalization of a text?
- Get a structured candidate database to speed up your searches.
- Reduce unconscious bias from an inclusive approach and protect diversity .
how can it work for you (For your IT team)
How does the normalization of a text work?
Text normalization is a tool that can normalize a text, a process that eliminates ambiguities and superfluous elements existing.
It can be used for any type of content (resume, job offer, etc.). Giving a text, this tool allows you to make it clear and perform simple full-text searches.
How? First of all, it excludes superfluous elements such as articles and prepositions from the text read.
Second, it normalizes the text by turning verbs into their infinitive form and nouns into their male and singular form.
Text normalization is useful for creating searches in your ATS, including by word proximity criteria or by the number of words in the text.