Image
Introduction
CV parsing, in People First recruitment, automates the extraction and organisation of information from an applicant’s CV when they upload it to apply for a vacancy reducing the need for an applicant to manually add their details to the system.
CV parsing is integrated into People First and is an example of a People First partner integration.
Key benefits
- Faster application process
CV parsing scans, identifies and extracts key applicant details, which auto-populates the application making it quicker for applicants to apply for vacancies.
- Easier to review applications
After extraction, the parsed information is organised into a structured format of an applicant profile making it easier for the hiring team to assess the application in an ordered way.
- Skills extraction
As part of the parsing process, skills are extracted from the CV/resume based on job titles and descriptions and presented as part of the application form. This utilised with People First’s ‘match and gap’ feature will give the applicant a % match for the campaign they have applied for and this % match is seen by hiring teams, meaning high % match applicants can be identified quickly.
Who is the partner we integrate with?
Text Kernel As a global leader in AI-powered recruitment and talent management solutions for over 20 years, Textkernel have been at the forefront of driving efficiencies in the HR and Staffing & Recruitment industry.
People First has prebuilt interfaces with the partner www.textkernel.com
How it works
When an applicant uploads a CV / resume document, the data is sent to a Text Kernel data centre, EU for EU and US for US environments. The data is structured into the format as outlined above and returned as a JSON file.
The data sent to Text Kernel is not retained by Text Kernel when this process is completed.
Data exchanged between systems
Below is a list of the data exchanged between People First and Text Kernel.
Applicant CV/ resume is sent to Text Kernel
| Field | Description |
|---|---|
| Name | Applicant’s title, first name & last name |
| Contact details | Landline phone number, mobile number and email address |
| Employment history | All employment history including job title, employer, job description, start date and end date (if applicable) |
| Qualifications | Type of qualification, qualification name and dates if applicable. |
| Certifications, licences and training. | Any certification, licence or training and date of attendance. |
Data Returned from Text Kernel to People First
| Field | Description |
|---|---|
| Name | Applicant’s title, first name & last name |
| Contact details | Landline phone number, mobile number and email address |
| Address | Street name and number, town or city, postcode or zip code and country. |
| Employment history | All employment history including job title, employer, job description, start date and end date (if applicable) |
| Qualifications | Type of qualification, qualification name and dates if applicable. |
| Skills | Text Kernel’s cv parsing functionality is able to extract skills data from CVs for the applicant to review/change as part of their application Each skill and profession is associated with a variety of synonyms, acronyms, and alternative wordings that enable efficient data harmonisation across sources. |
Summary
The built-in integration between People First and Text Kernel, allows organisations to improve their time to hire and reduce time taken by applicants when applying to their organisation.
