OpenResumeParser vs Rezmatch.ai

OpenResumeParser is a free, MIT-licensed project that extracts structured information from resumes and compares skills with job descriptions. It reads PDF and TXT files and extracts names, email addresses, phone numbers, skills, experience, and education. Its matching output includes a score, matched skills, and missing skills. The project offers a command-line interface and a FastAPI REST API, with API access and batch processing listed. A curated database covers more than 120 technical skills and can be customized in extractor.py. Dockerfile and docker-compose files support deployment, while Pydantic models are used in a type-safe design described by the README. The listed platforms are API, self-hosted, and Windows. The MIT license permits personal and commercial use. Important limits include no scanned-PDF or OCR support, heuristic experience and education extraction, a curated rather than machine-learning skills database, and regular-expression date extraction.

Rezmatch.ai is an API that parses résumés and job descriptions into structured data and returns explainable candidate-role fit scores. Its endpoints accept text, URLs, or files; the site says PDFs parse natively and job-board URLs can be fetched directly. Parsing normalizes fields such as phone numbers, titles, employers, tenures, and skills. Matching identifies requirements that are met or missed and cites résumé evidence; a missing hard requirement caps the score. Rezmatch says automated parity tests check that name, age, and ethnicity signals do not affect scores. It returns scores and explanations, not hiring decisions, which remain the customer’s responsibility along with applicable legal compliance. Document content is held only during processing and, according to the privacy policy, is not written to the database or application logs. Developer tools include an OpenAPI specification, an interactive playground, and curl, Node.js, and Python examples. A hosted MCP server connects to Claude and other MCP-capable clients. The free plan includes 100 starter credits; paid plans start at $19.99 per month.