Resume-Matcher open source analysis
Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.
Project overview
⭐ 25486 · TypeScript · Last activity on GitHub: 2026-01-06
Why it matters for engineering teams
Resume-Matcher addresses the practical challenge of aligning resumes with job descriptions through automated analysis and keyword optimisation. This open source tool for engineering teams is particularly suited to machine learning and AI engineering roles where understanding natural language and text similarity is essential. It provides a production ready solution for parsing and enhancing resumes using vector search and word embeddings, making it reliable for integration into applicant tracking systems. However, it may not be the right choice for teams seeking a simple resume builder without advanced AI features or those who prefer fully managed SaaS options over self hosted solutions.
When to use this project
Resume-Matcher is a strong choice when your team needs a self hosted option for resume parsing and matching that leverages machine learning for deeper insights. Consider alternatives if your project requires minimal customisation or if you prefer a plug-and-play ATS without the need for AI-driven keyword analysis.
Team fit and typical use cases
Machine learning and AI engineering teams benefit most from Resume-Matcher by integrating it into applicant tracking systems or recruitment platforms to improve candidate matching accuracy. Typically, it is used to extract and compare resume content against job descriptions, powering features like keyword suggestions and resume tuning. This tool often appears in products focused on recruitment automation and talent acquisition workflows.
Best suited for
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2026-01-06. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.