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Rezmatch.ai
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About Rezmatch.ai
Rezmatch.ai provides a parse-and-match API for hiring products that converts résumés and job descriptions into clean JSON and produces calibrated, explainable fit scores. Résumés are processed from PDFs, raw text, or URLs and normalized into structured data including E.164 phones, canonical titles, employers, computed tenures, and taxonomy-pinned skills. The matching engine scores candidates against roles with receipts, enforcing hard requirements that cap scores if unmet. Every score point is explained with evidence rather than verdicts, ensuring defensibility for hiring teams. Documents are deleted immediately after processing, eliminating storage and retention risks. The API supports one request handling both résumé and job description, with uniform envelopes, stable error codes, and refunded failed calls. It is designed for applicant tracking systems, job boards, staffing platforms, sourcing tools, recruiting agents, HR analytics, talent marketplaces, and screening copilots.
Key features
- Parse résumés and job descriptions
- Normalize data to canonical formats
- Compute experience tenure in months
- Match candidates against roles with explainable scores
- Enforce hard requirements that cap scores
- Provide receipts for every score point
- Delete documents after processing
- Support REST API, MCP server, and Agent Skills
Use cases
- Automated résumé screening for applicant tracking systems
- Candidate-job fit scoring for job boards and staffing platforms
- Integration with recruiting agents for real-time matching
Pros
- Parses résumés and job descriptions from PDF, text, or URL
- Produces explainable, calibrated fit scores with hard requirement gates
- Supports any industry and résumé format
- Immediate document deletion after processing
- Free tier available with 100 starter credits
Cons
- No free tier beyond 100 credits
- Requires API key for access
- Document size limits per pricing tier
Frequently asked questions about Rezmatch.ai
How does Rezmatch.ai calculate match scores?
Rezmatch.ai generates calibrated, explainable fit scores by scoring candidates against job requirements with hard gates that cap scores if unmet. Every point is backed by evidence from the résumé, ensuring transparency and defensibility for hiring teams.
Does Rezmatch.ai work for non-technical résumés like nurses or accountants?
Yes, the tool parses résumés across any industry or format, including non-technical roles such as nurses or accountants, and normalizes data like titles, employers, and skills.
Is Rezmatch.ai compliant for hiring decisions under regulations like EEOC or NYC Local Law 144?
Rezmatch.ai is designed with fairness by architecture, ensuring scores are grounded in evidence and automated parity tests prevent bias from signals like name, age, or ethnicity. This supports compliance with hiring regulations.
How do credits work in Rezmatch.ai's pricing model?
Credits are used per screening operation, such as parsing a résumé and matching it to a role, with costs varying by tier. Failed calls are refunded, and credits can be purchased in subscriptions or one-time packs.
Can Rezmatch.ai be integrated with recruiting agents or AI tools?
Yes, Rezmatch.ai offers a hosted MCP server with OAuth and an Agent Skills pack, allowing seamless integration with recruiting agents and AI coding tools while maintaining consistent scoring and fairness rules.
What happens to résumés after processing with Rezmatch.ai?
Résumés are deleted immediately after processing, eliminating storage and retention risks. No candidate data is retained, reducing liability and ensuring privacy compliance.
