Product

Everything you need to know about a candidate, in one call.

QuantumRecruit reads every resume and returns four AI signals: is it AI-written, how well it matches the job, how good the resume is, and whether it looks fraudulent.

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Candidate analysisGabriel M. · Senior .NET Developer
4 signals
Match score
92%
AI-generated
False
Resume quality
Excellent
Fraud signal
Clean
One REST API Results in seconds PDF & DOCX Works with any ATS / HRIS Credit-based pricing
The four signals

What QuantumRecruit returns.

Each signal is one analysisType on the API. Call them together or on their own.

AI Resume Detection

Returns two independent flags: whether the resume was AI-generated (true or false) and whether it was AI-assisted (true or false). We can tell the difference between the two.

Returns: AI-Generated + AI-Assisted (True / False)
AI_GENERATED
{
  "analysisType": "AI_GENERATED",
  "result": {
    "AI-Generated": false,
    "AI-Assisted": true
  }
}

Candidate Matching

Scores the resume against the job on skills, experience and education, each rated out of 10, rolled into an overall 0–100% match. Every match comes with a short description explaining the score. Requires a job to compare against.

Returns: sub-scores /10 + 0–100% + description
CANDIDATE_MATCH
{
  "analysisType": "CANDIDATE_MATCH",
  "result": {
    "skills_score": 9,
    "experience_score": 9,
    "education_score": 8,
    "match_score": "92%",
    "summary": "Strong .NET and cloud experience aligned to the role."
  }
}

Resume Quality

Rates overall resume quality on grammar, formatting, completeness and professionalism, returned as a rating of Poor, Average, Good or Excellent.

Returns: Poor / Average / Good / Excellent
RESUME_RATING
{
  "analysisType": "RESUME_RATING",
  "result": {
    "Rating": "Good",
    "Score": 7.4
  }
}

Fraud Signal

Flags fabricated credentials, identity inconsistencies and suspicious patterns, returned as a risk level from Clean to Critical, each with a message explaining the signal so you can route the risky ones.

Returns: Clean / Low / Medium / High / Critical
FRAUD_SIGNAL
{
  "analysisType": "FRAUD_SIGNAL",
  "result": {
    "fraud_signal": "MEDIUM RISK",
    "summary": "Document origin details were inconsistent with the applicant's information."
  }
}
How it works

Resume in, intelligence out.

1

Upload a resume

Send a PDF or DOCX to the resume endpoint and get back a resumeId.

2

Run the analysis

Call /aiProcess with the signals you want, on their own or all together.

3

Act on the JSON

Use the scores to rank, filter, flag or route candidates in your workflow.

See request and response details on the Developers page →

Built to trust

Enterprise-grade by design.

Secure by default

Encrypted in transit and at rest, API-key auth with role-based access and audit logging.

Fast & scalable

Analysis in seconds, built to handle high-volume screening with a 99.9% uptime SLA.

Multi-format & multi-signal

PDF and DOCX in; AI, match, quality and fraud signals out, together or individually.

Flexible deployment

Standard cloud or isolated and gov-cloud environments with data-residency options.

See all four signals on your own resumes.

Book a 20-minute demo and watch QuantumRecruit score a real batch.

Book a Demo →Explore the API