Rezmatch.ai

Overview

Rezmatch.ai is an API that turns résumés and job descriptions into structured records and candidate-role fit scores. It is best suited to teams building hiring products that need consistent parsing and explainable screening. The evidence behind its scores makes them more useful to a product workflow than a bare ranking, but this is infrastructure for hiring software, not a ready-made recruiting suite.

Key features

Endpoints accept résumé and job-description text, URLs, or files. PDFs parse natively, and job-board URLs can be fetched directly, which gives product teams several ways to feed documents into a screening workflow. Parsing normalizes phone numbers to E.164, titles and employers to canonical forms, calculates tenure, and maps skills to a taxonomy. That consistency can help downstream systems compare candidates, though teams still need to build the experience around the API.

Fit results identify met and missed requirements and include résumé evidence. Missing hard requirements cap the score, so a high score is not simply a broad similarity measure that overlooks a stated must-have. Rezmatch says automated parity tests verify that name, age, and ethnicity signals do not move scores. It returns explanations and scores rather than hire-or-reject decisions; customers remain responsible for hiring decisions and applicable legal compliance.

Submitted document content is held only during request processing and then deleted; the privacy policy says text is not written to the database or application logs. The stated safeguards also include encryption in transit and at rest, hashed API keys, managed secrets, least-privilege access controls, verified billing webhook signatures, and automatic expiry of temporary processing storage. A hosted MCP server connects with Claude and other MCP-capable clients using OAuth or an API key. OpenAPI documentation, an interactive playground, and curl, Node.js, and Python examples give developers practical starting points.

Pricing

The free plan costs nothing and includes 100 starter credits, about 11 screenings, a limit of 60 requests per minute, and résumés up to two pages. Since a full parse-and-match screening uses 8 credits, that starter allowance is useful for trying a small integration, but the résumé length limit is restrictive for longer documents.

Monthly credits expire without rollover, and failed calls are refunded. Starter costs $19.99 a month for 400 credits per month, about 44 screenings, 120 requests per minute, and résumés up to 10 pages. It is the lowest-cost recurring option for a modest production workload. Growth costs $79.99 a month for 1,800 credits per month, about 200 screenings, 300 requests per minute, and résumés up to 10 pages. Scale costs $399.99 a month for 10,000 credits per month, about 1,110 screenings, 600 requests per minute, and the same page limit. These tiers suit progressively higher volumes, but teams should size carefully: unused monthly credits do not carry forward.

For usage that varies from month to month, one-time credit packs never expire: 250 credits cost $15, paid once, 1,000 cost $55, paid once, and 3,000 cost $150, paid once. Enterprise has custom pricing, custom volume and limits, custom document sizes, plus SLA and invoicing. Standard plans have no contractual uptime commitment; written service-level commitments are available only through a separate Enterprise agreement.

Platforms

Rezmatch.ai is offered as an API and on the web. The API is the central fit for teams integrating parsing and scoring into their own products; MCP connectivity offers another route for clients that support that protocol.

Who it's for

Applicant-tracking systems, job boards, staffing platforms, sourcing tools, recruiting agents, HR analytics products, talent marketplaces, and screening copilots are the stated audiences. Product teams needing structured candidate data and evidence-linked fit scores are a stronger match than individual recruiters seeking a complete standalone hiring workflow. Support is available at [email protected]; the service is operated by Equirig, Inc.

Pros and cons

• Pro: Normalized résumé fields and evidence-backed requirement results can make candidate records and rankings more consistent inside a hiring product.
• Pro: The stated document-retention limits and security controls address important concerns for teams processing sensitive résumé content.
• Pro: Never-expiring credit packs give teams a way to buy capacity without committing to a monthly credit allowance.
• Con: A full screening consumes 8 credits, and monthly plan balances expire, so sporadic workloads can waste recurring capacity.
• Con: Standard plans have no contractual uptime commitment, which may be a poor fit for services that require a formal availability commitment.
• Con: The API supplies scores and explanations, not hiring decisions or a complete recruiting application.

Alternatives

For a broader screening workflow, Humanly Intelligent CV Screening offers a web-based freemium option: its Explorer plan is free and allows five job descriptions each day, one run of every other co-pilot, and screening runs of up to 10 CVs, but includes no Talent Vault or storage.

SkipCV is another web-based freemium option; its free Standard plan includes 20 credits and caps each analysis at eight candidates. Consider it when that candidate limit fits the task.

Talsense may suit teams looking for a web and API option with recruiting functions beyond résumé parsing: its free plan includes five AI interviews, 50 résumé reviews, 50 autofills, no emails, and unlimited jobs and team members.

VeraHire offers a web-based paid product with a free trial and a pay-as-you-go plan at no cost, charging $0.25 per resume screening and $7.00 per AI interview with no monthly commitment.

CandiSift is worth considering when self-hosting matters: its open-source self-hosted plan has no software fee stated, though LLM processing can incur per-token costs.

Hirvana provides a web-based free plan covering 100 jobs, candidates, résumé analyses, and interview plans, which may suit teams wanting several recruiting functions under one free allowance.

Job-Eval is a free, open-source option for teams that want a self-hosted model: its 156M-parameter model runs on CPU or GPU and supports website evaluation and batch scoring.

Octagnt is a web-based alternative with a free plan for one role and one requisition each month, covering 150 evaluated profiles.

For category browsing, see Candidate Screening Software and Resume Parsing Software.

Verdict

Rezmatch.ai is a sound choice for hiring-product teams that want structured résumé data and explainable, evidence-linked fit scoring without handing hiring decisions to an automated system. Its clearest trade-offs are expiring monthly credits and the absence of a standard contractual uptime commitment. Teams with irregular demand can use non-expiring packs; teams that need an SLA should look to Enterprise or another service.