About ResumeMetric

ResumeMetric was built by an independent group of software engineers and HR technology specialists with decades of combined experience in recruitment parsing algorithms. We recognized that existing ATS scanning tools on the market were either prohibitively expensive, forced mandatory account sign-ups, or stored candidate resume data without clear consent.

Our mission is to democratize access to ATS compliance data. We built this engine to ensure job seekers understand exactly how robotic recruitment systems evaluate their profiles without paying expensive monthly subscriptions or sacrificing their personal data privacy.

Our Hybrid Evaluation Methodology

We utilize a hybrid scoring model: combining exact-string intersection algorithms for rigid enterprise ATS platforms (such as Workday and Oracle Taleo) with advanced Large Language Model (LLM) semantic analysis for modern recruitment tools (such as Greenhouse and Lever). This guarantees that candidates receive realistic match percentage ratings, missing keyword lists, and actionable optimization advice.

Privacy & Security Commitment

Unlike commercial alternatives that upload your document to remote databases for AI training or lead generation, ResumeMetric processes documents using browser-native WebAssembly (WASM) and JavaScript. Your resume text is parsed in temporary browser memory and is never permanently archived or monetized.