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BeTalent CV Screening – B2B Flow: Integration with ATS Systems

Overview​

This document outlines the B2B use case for integrating the BeTalent CV Screening module with an Applicant Tracking System (ATS). In this scenario, the recruiter uploads CVs into the ATS system, which then interacts with BeTalent to analyze and structure the CV data for recruitment purposes.

Flow Description​

  1. Recruiter Uploads CV The recruiter uploads a CV into the ATS system through the platform's user interface. Supported file formats for CV upload include: .pdf, .jpg, .png, .txt, .doc, .docx.

  2. CV Analysis and Data Return The BeTalent CV Screening module receives the uploaded CV, performs automatic analysis, and returns structured data to the ATS system in JSON format. The system extracts and normalizes relevant information, including:

    • Personal information
    • Photo
    • Job profile
    • Work experience
    • Education (including degree or title of study)
    • Skills (including extracted experience on each skill)
    • Languages
    • Certifications (if applicable)

    All extracted data is normalized according to Our Standardization guidelines.

  3. Recruiter Views Profile The recruiter can now view the structured and standardized candidate profile within their ATS, enabling them to evaluate the candidate based on the provided information.

Technical Specifications​

For detailed API integration information and how to connect BeTalent's CV Screening module with an ATS system, please refer to the Overview page.

Benefits of Integration​

  • Efficiency: Automates CV parsing and data extraction, reducing the manual effort involved in reviewing CVs.
  • Accuracy: Structured and normalized data ensures that all necessary candidate details are easily accessible and consistently formatted.
  • Seamless Integration: Easily integrates with existing ATS systems via API, ensuring a smooth user experience.

Conclusion​

The B2B integration flow improves the recruitment process by streamlining candidate evaluation, leveraging automated CV analysis, normalization, and seamless integration with ATS systems.