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Resurface Review

Resurface is a resume-scoring tool that evaluates resumes against job descriptions and returns a score from 0 to 100 with quoted evidence from the resume.

shipped Oct 2, 2026codefreemium
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Resurface — product screenshot

Why it matters

1Scores resume–job description matches on a 0–100 scale.
2Quotes resume lines that support evaluation verdicts.
3Supports PDF, DOCX, HTML, and TXT resumes.
4Lists Greenhouse, Ashby, and JobAdder integrations.

About Resurface

Business Model
Usage-Based (Pay Per Use)
Usage Pricing
$0.10 per score
Free Credits
50 free resume scores
Platforms
Web
Target Audience
Employers, staffing agencies, and recruiting software providers

Pricing Plans

Free Tier
Free
  • • 50 free resume scores
100 scores pack
$10 / per-request
  • • $0.10 per score
500 scores pack
$40 / per-request
  • • $0.08 per score
2,500 scores pack
$150 / per-request
  • • $0.06 per score

Cost Examples

  • • 100 scores: $10
  • • 500 scores: $40
  • • 2,500 scores: $150
API DocsGitHubOpen Source

Specs

API Available

Yes, public API

overview

What is Resurface?

Resurface is an AI resume-scoring tool that enables employers, staffing agencies, and recruiting software providers to evaluate resumes against job descriptions. It returns a score from 0 to 100 and quotes resume lines that support each verdict. Resurface is offered as a web product with usage-based scoring and integrations including Greenhouse, Ashby, and JobAdder.

features

Key Features of Resurface

Resurface evaluates resumes in relation to a supplied job description and returns both a numerical score and supporting text evidence. Its listed formats, integrations, and usage limit are specific to resume evaluation workflows.

  • Scores a resume against a job description on a 0–100 scale.
  • Quotes exact resume lines as evidence for verdicts.
  • Accepts PDF, DOCX, HTML, and TXT formats.
  • Provides resume evaluation through a B2B API; documentation is listed at https://getresurface.dev/docs.
  • Lists integrations with Greenhouse, Ashby, and JobAdder.
  • Has a stated rate limit of 60 scores per minute.
  • Targets recruitment screening and automated candidate scoring.

use cases

Who Should Use Resurface?

Resurface is intended for organizations that screen resumes against job descriptions, including employers, staffing agencies, and providers of recruiting software.

  • Employers: evaluate applicants against role-specific job descriptions.
  • Staffing agencies: assist recruiter-led resume screening across job openings.
  • Recruiting software providers: add resume scoring to recruitment workflows.
  • Recruiters: review a 0–100 score alongside quoted supporting resume lines.

how to use

How to Use Resurface

Use Resurface to submit a resume and a job description for evaluation. The product lists PDF, DOCX, HTML, and TXT support and API documentation at https://getresurface.dev/docs.

  • 1Choose a resume in PDF, DOCX, HTML, or TXT format.
  • 2Provide the job description for comparison.
  • 3Submit the resume and job description through the Resurface workflow or documented API.
  • 4Review the 0–100 score and quoted resume-line evidence.
  • 5Use the result as an input to recruitment screening, observing the 60-scores-per-minute limit.

pricing

Resurface Pricing & Plans

Resurface uses usage-based pricing. The listed offer includes 50 free resume scores, followed by score packs: 100 for $10, 500 for $40, and 2,500 for $150. The 100-score pack works out to $0.10 per score; larger packs have lower listed per-score costs.

  • Free tier: 50 resume scores.
  • 100 scores pack: $10 ($0.10 per score).
  • 500 scores pack: $40 ($0.08 per score).
  • 2,500 scores pack: $150 ($0.06 per score).

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Pros

  • +Returns a numerical score from 0 to 100 with quoted resume-line evidence.
  • +Lists support for PDF, DOCX, HTML, and TXT formats.
  • +Names Greenhouse, Ashby, and JobAdder as integrations.
  • +Offers 50 free scores and packs up to 2,500 scores.
  • +States a rate limit of 60 scores per minute.

Cons

  • −The stated limit of 60 scores per minute may constrain higher-volume screening.
  • −Pricing is based on score packs rather than a stated flat subscription.
  • −The supplied information does not specify model names, score calibration, or evaluation methodology.
  • −The supplied information does not describe security certifications or data-retention terms.

Similar Tools

Resurface vs Competitors

The supplied comparisons distinguish Resurface by its focus on resume scoring with quoted line-level evidence. Competitors differ in deployment model, breadth of recruitment functions, or emphasis on parsing and pipeline automation.

1
Resume Matcher↗

Runs as a self-hosted Python and FastAPI service using local or cloud LLMs to compute similarity scores and keyword matches between CVs and job descriptions.

You avoid third-party API costs and keep candidate data local, but you must host and maintain the infrastructure yourself and lose Resurface's pre-built line-by-line evidence attribution.

2
SharpAPI↗

Provides a dedicated Resume/CV and Job Description Compatibility Scoring API endpoint that breaks down matching across skills, experience, and education with human-readable rationales.

SharpAPI provides broader HR automation endpoints and multi-format parsing out of the box, but it is a general workflow API rather than a hyper-focused screening tool tailored specifically to ATS line citation.

3

Offers developer-facing REST endpoints for scoring resume fit against job descriptions alongside automated job search and candidate outreach infrastructure.

LoopCV is built around end-to-end recruitment pipeline automation, whereas Resurface is strictly designed as an unbundled, lightweight grading engine that outputs granular justification snippets.

4
Affinda Candidate Search & Match↗

Extracts deeply structured resume data and ranks candidates against job descriptions using weighted semantic search and enterprise-grade field parsing.

Affinda delivers superior extraction precision on complex formatting and enterprise security, but it is significantly more complex and expensive to configure than Resurface's simple JD-versus-CV prompt score.

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