Live Demo · AI CV Analysis

Paste a CV. Get an instant analysis.

This demo shows AI reading CV text and returning a structured candidate profile covering skills, an experience summary, strengths and suggested interview questions. The same analysis pattern is used in Job Space AI.


Try it

Paste any CV text, or load the sample candidate.

What this shows: AI reading unstructured CV text and returning a structured candidate profile, ready to display in a recruiter dashboard, trigger a shortlisting workflow, or feed into a matching algorithm.

Quick start

Your text is sent to OpenAI for analysis. It is not stored or logged. Use a fictional or anonymised CV for this demo.


What you just used

CV analysis built into your recruitment or HR software.

01
A structured first pass

AI can turn the same fields from each CV into a consistent draft profile. A recruiter still checks the source CV, corrects the result and makes the hiring decision.

02
Structured output for matching

The extracted skills, experience, and profile can feed directly into a matching algorithm, a shortlisting score, or a recruiter dashboard, not just a text blob.

03
Built into your existing ATS or portal

Not a standalone product. Added to your upload flow, so when a CV arrives it's analysed automatically and the result appears in your interface.


Responsible recruitment use

Support the recruiter, not an automatic hiring decision

A production workflow should use clearly defined job criteria, show the evidence behind extracted information and keep shortlisting or rejection with a person. Sensitive or irrelevant personal characteristics should not be used to score candidates.

01
Evidence stays visible

Recruiters can compare the structured result with the original CV instead of receiving an unexplained score.

02
Human review is required

The software prepares information and questions; it does not decide who should be interviewed or hired.

03
Data handling is designed in

Access, retention and deletion rules should match the employer’s recruitment process and legal responsibilities.


Questions for recruitment teams

AI CV analysis FAQ

What can the CV analyser extract?

It can prepare fields such as skills, employment history, qualifications, experience summary and possible interview questions. The fields can be adjusted to match the role and the existing recruitment workflow.

Can AI decide which candidates to reject?

It should not make an unreviewed hiring decision. A safer design presents relevant evidence against stated job criteria and leaves shortlisting, rejection and hiring decisions with the recruiter.

Does this demo store CV information?

No. Pasted text is sent to OpenAI for analysis but is not stored or logged by NRB Consulting. Use a fictional or properly anonymised CV in this public demonstration.

Can this be added to an existing ATS?

Potentially. The analyser can be connected through an API, upload flow or database integration where the ATS provides a suitable and authorised route.

Can the analysis be tailored to a job description?

Yes. A production version can compare evidence in the CV with explicit role requirements, while showing gaps and uncertainty for a recruiter to assess. See AI for recruitment agencies for related examples.

Processing CVs or applications manually?

Tell me about your current workflow and volume. I'll tell you what's possible and what it costs.

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