TrustRadius: an HG Insights company

Sovren Resume Parser

Score8 out of 10

1 Reviews and Ratings

What is Sovren Resume Parser?

The Sovren Resume Parser is a tool designed to automate and streamline the resume parsing process for businesses. According to the vendor, it efficiently converts unstructured resumes into structured data, allowing for easy storage and searchability in databases or Applicant Tracking Systems (ATS). This solution caters to small, medium, and large-sized companies across various professions and industries, including Human Resources, Staffing and Recruitment Agencies, Talent Acquisition and Management, Job Boards and Career Portals, and HR Technology Providers.

Key Features

Resume Parser: The vendor claims that the Resume Parser offers fast and accurate parsing of resumes to extract relevant information. They state that the parser ensures accuracy without compromising performance and has maintained 100% uptime for the past 2 years. Additionally, it supports parsing resumes in multiple languages and dialects.

AI Matching + Parsing: According to the vendor, the AI Matching Engine understands candidates as humans with career profiles, aiming to remove bias from both algorithms and recruiters' viewing of anonymized data. They claim that it scores objective facts of the resume against objective facts of the job, providing an objective and explainable comparison of candidates.

Data Enrichment + AI Matching + Parsing: The vendor states that this feature helps standardize and enrich job and skill data. They claim that it provides a powerful mapping between skills and profession taxonomies, recognizing shared and adaptable skills between professions. They suggest that it bridges skill gaps, aiming to help businesses stay competitive in the market.

Standardize and Enrich: According to the vendor, this feature addresses disorganized and inconsistent data about people and jobs. They state that it helps standardize and enrich job and skill data, providing a powerful mapping between skills and profession taxonomies. They also claim that it recognizes shared and adaptable skills between professions.

Categories & Use Cases