Rezmatch.ai
rezmatch.ai
What it is
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.
Spec sheet
- Purpose
- Rezmatch.ai is an API for parsing résumés and job descriptions into structured data and producing calibrated, explainable candidate-role fit scores.Read 7 Oct 2026 · rezmatch.ai
- Audience
- The product is described for hiring products such as applicant tracking systems, job boards, staffing platforms, sourcing tools, recruiting agents, HR analytics, talent marketplaces, and screening copilots.Read 7 Oct 2026 · rezmatch.ai
- Integrations
- Rezmatch provides a hosted MCP server that can connect to Claude and other MCP-capable clients, with OAuth or API-key authentication.Read 7 Oct 2026 · docs.rezmatch.ai
- Security
- The privacy policy lists encryption in transit and at rest, hashed API keys, managed secrets, least-privilege access controls, verified billing webhook signatures, and automatic expiry for temporary processing storage.Read 7 Oct 2026 · rezmatch.ai
- Support
- Support is provided by email at [email protected].Read 14 Oct 2026 · rezmatch.ai
- Founded
- TrustMRR lists the founding date as July 2026.Read 14 Oct 2026 · trustmrr.com
- Company
- The site identifies Equirig, Inc. as the company operating Rezmatch.ai.Read 7 Oct 2026 · rezmatch.ai
- Agent Skills
- Rezmatch.ai distributes installable skill files for Claude Code and compatible coding agents.Read 14 Oct 2026 · docs.rezmatch.ai
- API authentication
- API keys use the rz_live_ format, are shown once, and are stored only as SHA-256 hashes.Read 14 Oct 2026 · docs.rezmatch.ai
- Company location
- TrustMRR lists the company location as United States.Read 14 Oct 2026 · trustmrr.com
- Data processing location
- The maker says its infrastructure runs in the United States and describes Standard Contractual Clauses for certain international transfers.Read 14 Oct 2026 · rezmatch.ai
- Data retention
- Submitted document content is held only while a request is processed, then deleted; the privacy policy says document text is not written to its database or application logs.Read 7 Oct 2026 · rezmatch.ai
- Developer tools
- The site lists an OpenAPI 3.0 specification, an interactive API playground, and examples for curl, Node.js, and Python.Read 7 Oct 2026 · rezmatch.ai
- Document formats
- PDF and plain text are supported; DOCX, RTF, and image files are documented as unsupported.Read 14 Oct 2026 · docs.rezmatch.ai
- Document size limits
- Plan limits range from 2 to 10 PDF pages and from 40,000 to 320,000 characters for text or extracted URL content, with a 10 MB hard ceiling.Read 14 Oct 2026 · docs.rezmatch.ai
- Evidence-based matching
- The matcher reports met and missed requirements with résumé evidence, and missing hard requirements cap the score.Read 7 Oct 2026 · rezmatch.ai
- Extraction endpoints
- Separate endpoints extract skills, experience, education, and contact details, and normalize titles and skills.Read 14 Oct 2026 · docs.rezmatch.ai
- Fairness measures
- Rezmatch says automated parity tests verify that name, age, and ethnicity signals do not move scores.Read 7 Oct 2026 · rezmatch.ai
- Fairness testing
- The maker says automated parity tests check that name, gender, age, ethnicity, school-prestige, and location signals do not change scores beyond measured noise.Read 14 Oct 2026 · docs.rezmatch.ai
- Founder
- TrustMRR names the founder as A Senn.Read 14 Oct 2026 · trustmrr.com
- Hard requirements
- The matcher gives hard requirements priority and says a missing must-have cannot be rescued by text similarity.Read 14 Oct 2026 · docs.rezmatch.ai
- Hiring decisions
- The service returns scores and explanations rather than hire or reject decisions, and its terms assign hiring decisions and applicable legal compliance to the customer.Read 7 Oct 2026 · rezmatch.ai
- Independent company listing
- TrustMRR lists Rezmatch.ai as a B2B AI, developer-tools, recruiting, and SaaS startup.Read 14 Oct 2026 · trustmrr.com
- Independent launch listing
- BetaList lists Rezmatch.ai under recruiting startups with the description “Parse resumes and match roles with calibrated, explainable scores.”Read 14 Oct 2026 · betalist.com
- Industry coverage
- The maker says parsing works across industries, including non-technical résumés.Read 14 Oct 2026 · docs.rezmatch.ai
- Input formats
- Its endpoints accept résumé and job-description text, URLs, or files, and the site says PDFs parse natively and job-board URLs fetch directly.Read 7 Oct 2026 · rezmatch.ai
- Licence
- The terms grant a non-exclusive, non-transferable right to use the hosted service and state that Equirig owns the software, models as integrated, taxonomies, scoring logic, documentation, and marks.Read 14 Oct 2026 · rezmatch.ai
- Limit: customer responsibility
- Customers remain responsible for human review, employment-law compliance, notices, accommodations, and any required independent bias audit.Read 14 Oct 2026 · rezmatch.ai
- Limit: output accuracy
- The terms disclaim guarantees that parsing results, scores, or explanations will be accurate, complete, uninterrupted, or error-free.Read 14 Oct 2026 · rezmatch.ai
- Limit: service levels
- Standard plans have no contractual uptime commitment; written service-level commitments are reserved for Enterprise agreements.Read 14 Oct 2026 · rezmatch.ai
- Matching output
- Matching returns a 0–100 score, a band, met and missed requirements, evidence, and prose notes.Read 14 Oct 2026 · docs.rezmatch.ai
- MCP integration
- A hosted MCP server connects Claude and other MCP-capable clients through OAuth or API-key authentication.Read 14 Oct 2026 · docs.rezmatch.ai
- Model training policy
- The privacy policy says Rezmatch.ai and its model providers do not train on submitted document content.Read 14 Oct 2026 · rezmatch.ai
- No hiring verdicts
- The API provides evidence and scores but does not output hire or reject decisions.Read 14 Oct 2026 · rezmatch.ai
- Normalized data
- Resume parsing returns normalized fields including E.164 phone numbers, canonical titles and employers, computed tenures, and taxonomy-pinned skills.Read 7 Oct 2026 · rezmatch.ai
- Normalized output
- Parsed output can include E.164 phone numbers, canonical locations, normalized employers and titles, computed tenures, and taxonomy-mapped skills.Read 14 Oct 2026 · docs.rezmatch.ai
- Praise: developer integration options
- TrustMRR describes REST, hosted MCP, and Agent Skills as the available integration routes.Read 14 Oct 2026 · trustmrr.com
- Praise: evidence-backed matching
- TrustMRR highlights that scores identify met and missed requirements and show the résumé evidence behind each verdict.Read 14 Oct 2026 · trustmrr.com
- Product purpose
- Rezmatch.ai parses résumés and job descriptions into normalized JSON and returns calibrated candidate-role fit scores with explanations.Read 14 Oct 2026 · rezmatch.ai
- Redaction
- A redaction endpoint removes personally identifiable information and protected-class proxies.Read 14 Oct 2026 · docs.rezmatch.ai
- REST API
- The public API is hosted at api.rezmatch.ai and is documented from an OpenAPI 3.0 specification.Read 14 Oct 2026 · docs.rezmatch.ai
- Resume inputs
- The service accepts résumé PDFs, raw text, or publicly reachable URLs.Read 14 Oct 2026 · rezmatch.ai
- Revenue signal
- TrustMRR reports $21 in verified all-time revenue, no active subscriptions, and no current MRR.Read 14 Oct 2026 · trustmrr.com
- SDK examples
- The maker provides curl, Node.js, and Python request examples rather than a named proprietary SDK.Read 14 Oct 2026 · rezmatch.ai
- Security controls
- Stated controls include encryption in transit and at rest, hashed keys, managed secrets, least-privilege access, signed billing webhooks, and expiring temporary storage.Read 14 Oct 2026 · rezmatch.ai
- Support and SLA
- Support is available at [email protected]; standard plans have no contractual uptime commitment, while written service-level commitments are available only under a separate Enterprise agreement.Read 7 Oct 2026 · rezmatch.ai
- Technology stack
- TrustMRR identifies Next.js on the frontend and Anthropic, AWS, Clerk, Stripe, and Vercel in the backend stack.Read 14 Oct 2026 · trustmrr.com
- Transient processing
- Submitted documents are held only during processing and deleted after the request, with temporary storage set to expire within one day as a backstop.Read 14 Oct 2026 · rezmatch.ai
- Usage limits
- A full résumé parse-and-match screening costs 8 credits, failed calls are refunded, and monthly plan credits do not roll over.Read 7 Oct 2026 · rezmatch.ai
Plans and prices
Strong points and limits
Strong points
- Accepts résumé and job-description text, URLs, or files.
- Matches report met and missed requirements with résumé evidence.
- Document content is deleted after request processing.
- Provides an OpenAPI specification and interactive API playground.
Limits
- Monthly plan credits do not roll over.
- A full résumé parse-and-match screening uses 8 credits.
- Standard plans have no contractual uptime commitment.
Who it suits
Rezmatch.ai is aimed at developers building hiring products such as applicant tracking systems, job boards, staffing platforms, and recruiting tools. It fits teams that want structured résumé data and evidence-based candidate-role scores while keeping hiring decisions with the customer.
Rezmatch.ai in depth
Read the full write-up
Overview
Rezmatch.ai is an API for turning résumés and job descriptions into structured data and evidence-linked candidate-role scores. It suits teams building hiring products that need a screening component, rather than recruiters seeking a standalone app. Its strongest case is explainable matching; credit-based usage and the absence of a standard-plan uptime commitment are meaningful trade-offs.
Key features
The API accepts résumé and job-description text, URLs, or files; PDFs parse natively and job-board URLs can be fetched directly. Résumé fields include standardized phone numbers, canonical titles and employers, calculated tenure, and taxonomy-mapped skills. That normalization can make candidate records more consistent across a product, but teams need to integrate an API rather than adopt a ready-made recruiting interface.
Matching identifies requirements met and missed and ties them to résumé evidence. Missing hard requirements cap the score, giving a product a concrete reason to surface a lower fit result. Rezmatch says automated parity tests verify that name, age, and ethnicity signals do not move scores. The service returns scores and explanations, not hiring decisions; customers retain responsibility for those decisions and applicable legal compliance.
Submitted document content is retained during processing and then deleted; the privacy policy says document text is not written to its database or application logs. Security measures include encryption in transit and at rest, hashed API keys, managed secrets, least-privilege access controls, verified billing webhook signatures, and automatic expiry for temporary processing storage. These are relevant safeguards for sensitive hiring documents, though standard plans do not include a contractual uptime commitment.
A hosted MCP server connects to Claude and other MCP-capable clients using OAuth or an API key. Developers also get an OpenAPI 3.0 specification, an interactive API playground, and curl, Node.js, and Python examples. Support is available at [email protected]; written service-level commitments require a separate Enterprise agreement. Equirig, Inc. operates the service.
Pricing
Usage is measured in credits: a full résumé parse-and-match screening costs 8, failed calls are refunded, and monthly credits do not roll over. The approximate screening counts therefore help with budgeting, but unused monthly capacity is forfeited.
Free: free, with 100 starter credits (about 11 screenings), 60 requests per minute, and résumés up to 2 pages. A useful way to evaluate a small integration, but the page limit and starter allowance constrain ongoing use.
250 credits one-time: $15, paid once; credits never expire. A modest purchase for intermittent use without a monthly commitment.
Starter: $19.99 a month for 400 credits (about 44 screenings), 120 requests per minute, and résumés up to 10 pages. Best for a small-volume product; the free plan's two-page cap is removed, but credits still expire at month end.
1,000 credits one-time: $55, paid once; credits never expire. This suits occasional workloads that exceed the smaller one-time pack.
Growth: $79.99 a month for 1,800 credits (about 200 screenings), 300 requests per minute, and résumés up to 10 pages. It offers substantially more monthly throughput than Starter, at the cost of committing to a recurring plan.
3,000 credits one-time: $150, paid once; credits never expire. Choose it when usage is irregular and a larger balance is preferable to monthly credits that lapse.
Scale: $399.99 a month for 10,000 credits (about 1,110 screenings), 600 requests per minute, and résumés up to 10 pages. This is the stated high-volume monthly tier; teams needing custom document sizes or terms should consider Enterprise.
Enterprise: custom pricing, with custom volume, limits, and document sizes, plus SLA and invoicing. It is the option for organizations that need negotiated service commitments.
Platforms
Rezmatch.ai runs on the web and through an API. The API and developer materials make it a fit for software teams embedding parsing and matching, not a desktop or mobile recruiting tool.
Who it's for
Its intended audience includes applicant-tracking systems, job boards, staffing platforms, sourcing tools, recruiting agents, HR analytics products, talent marketplaces, and screening copilots. It is most appropriate when a product needs structured résumé data and explainable fit signals while keeping final decisions in its own workflow. A recruiter seeking a complete hiring system, or an organization requiring a contractual uptime commitment on a standard plan, should look elsewhere.
Pros and cons
Pros: Requirement-level evidence and a hard-requirement score cap make match results more interpretable than a bare score.
Pros: Document deletion after processing, no document text in database or application logs, and enumerated security controls address important data-handling concerns.
Pros: Non-expiring one-time credit packs suit sporadic use, while monthly tiers provide higher request rates and volumes.
Cons: Every complete parse-and-match screening costs 8 credits, and monthly balances do not roll over, so uneven usage can waste paid capacity.
Cons: The free plan accepts résumés only up to 2 pages; teams with longer documents need a paid tier.
Cons: Standard plans lack a contractual uptime commitment, making them a weaker fit for services that require a guaranteed SLA.
Alternatives
For a different approach to candidate screening, compare Candidate Screening Software; for résumé extraction options, see Resume Parsing Software.
Choose CVViZ Job Distribution if you want a paid job-distribution product with a stated $99 a month Starter plan, 5 active jobs, and unlimited users rather than a parsing-and-scoring API.
VeraHire is worth considering for pay-as-you-go screening at $0.25 per résumé screening with no monthly commitment, rather than Rezmatch's credit packs.
Truffle offers a 7-day free trial with 30 credits and every feature unlocked; choose it if that trial structure fits your evaluation better.
SkipCV has a free plan with 20 credits and a maximum of 8 candidates per analysis, a more bounded free option for candidate analysis.
Hirvana has a free tier covering 100 jobs, candidates, résumé analyses, and interview plans; it may suit teams seeking a broader free hiring workflow.
HRClaw is another option for readers comparing hiring software.
Humanly Intelligent CV Screening provides a free Explorer tier with up to 10 CVs per screening run and five job descriptions every day, useful for trying a limited screening workflow without starting on a paid plan.
X0PA AI offers a paid AI recruiter product with a stated $49 a month Lite plan and a monthly candidate limit of 100, for teams comparing recruiter-oriented software rather than a parsing API.
Verdict
Rezmatch.ai is a strong fit for hiring-product teams that need normalized résumé data and traceable role-fit scores, especially when non-expiring credits can accommodate irregular demand. Choose it for the evidence-linked scoring and API integration; look elsewhere if you need a standalone recruiting application or a standard-plan uptime guarantee.
Verdict
Rezmatch.ai provides structured parsing and evidence-linked fit scores, with explicit limits on its role in hiring decisions. Teams should account for credit use and the lack of an uptime commitment on standard plans.
Where Specifiction places it
- Candidate Screening Software#3 of 368.5
- Resume Parsing Software#8 of 328.4