AI resume screening software for recruiting teams

Screen resumes faster. Shortlist candidates.

Resume Selector helps recruiters, HR teams, and hiring managers screen PDF/DOCX resumes, compare candidates against role criteria, and generate structured shortlists without replacing human judgment.

Start screening resumes View sample shortlist

Human-led hiring decisions. AI-assisted screening.

AI candidate scoring

Bulk CV upload

Explainable shortlists

Human-led hiring decisions

Recruitment

Senior Full Stack Engineer

92% match

TypeScript + React experience

SaaS product ownership

5+ years of engineering experience

Interview questions ready

Strong candidate for the shortlist

Relevant technical match with SaaS experience

The candidate matches the core technical requirements and shows relevant SaaS experience. Review SQL depth and confirm recent production responsibilities during the technical interview.

The problem

Manual resume screening is slow, inconsistent, and hard to justify.

Recruiters spend hours reading the same information across PDF and DOCX resumes.

Strong candidates can be missed when screening criteria are unclear or applied inconsistently.

Hiring managers need evidence, not scattered notes, vague impressions, or keyword guesses.

Unqualified or exaggerated resumes make it harder to find candidates who actually match the role.

Sample output

See what a structured shortlist looks like

Resume Selector turns a batch of resumes into a clear review format your team can inspect, compare, and challenge.

Ranked candidate shortlist

Match explanations

Candidate strengths

Potential gaps

Interview questions

Structured hiring notes

Sample candidate shortlist

Role: Senior Full Stack Engineer

Sample shortlist

A fictional example showing how Resume Selector structures resume screening results.

Role summary

Full-stack engineer for a B2B SaaS team, with React, backend systems, product collaboration, and pragmatic delivery experience.

1. Alex MorganStrong match

2. Jamie CarterGood match

3. Sam LeePartial match

Candidate 1

Alex Morgan

Match: Strong

92%

Strengths

- Relevant full-stack experience
- SaaS product background
- Experience with React and backend systems

Potential gaps

- Limited mention of team leadership
- Cloud infrastructure experience needs validation

Interview questions

- Can you describe a SaaS feature you shipped end-to-end?
- How do you approach technical trade-offs between speed and maintainability?
- What backend responsibilities did you own in your previous roles?

Candidate 2

Jamie Carter

Match: Good

84%

Strengths

- Strong frontend delivery record
- Clear experience collaborating with product teams
- Several years in B2B software environments

Potential gaps

- Backend ownership is less detailed
- Database scaling experience should be checked

Interview questions

- Which parts of the stack have you owned independently?
- How have you worked with product managers on ambiguous requirements?
- Can you walk through a performance issue you helped resolve?

Candidate 3

Sam Lee

Match: Partial

71%

Strengths

- Solid JavaScript and UI implementation experience
- Evidence of fast learning across tools
- Good fit for frontend-heavy responsibilities

Potential gaps

- Limited backend systems evidence
- SaaS product experience is not clearly shown

Interview questions

- What backend projects have you contributed to recently?
- How comfortable are you debugging production issues across the stack?
- Which skills would you need to ramp up for this role?

Structured hiring notes

Review the strongest matches first, validate open questions during interviews, and keep the final shortlist decision with the recruiting team.

Sample data only. No real candidate information.

This example uses fictional candidate data. Resume Selector supports human-led hiring decisions and does not automatically reject candidates.

How it works

From job description to ranked shortlist in one recruiting workspace.

Step 1

Create a role

Define the job description, must-have skills, experience level, and screening criteria.

Step 2

Upload resumes

Import multiple PDF or DOCX resumes and let Resume Selector extract structured candidate data.

Step 3

Review AI evidence

See candidate scores, strengths, gaps, inconsistencies, and role-based recommendations.

Step 4

Prepare interviews

Compare candidates and generate interview questions based on each resume.

AI resume screening features built for real recruiting workflows

Bulk resume screening

Upload multiple CVs and analyze them against one job description.

Explainable candidate scores

Understand why each candidate is ranked, not just who appears at the top.

Structured candidate profiles

Extract names, contact details, skills, experience, education, languages, and professional links.

Inconsistency detection

Flag vague experience, missing information, overlapping dates, or keyword-stuffed resumes.

Candidate comparison

Compare shortlisted candidates side by side before sending profiles to hiring managers.

Interview question generation

Create role-specific interview questions based on each candidate's resume.

Why Resume Selector

Not just resume parsing. A structured screening workflow.

Resume Selector helps teams move from scattered resume review to a more consistent shortlist process. It supports the first screening step, while keeping the final hiring decision in the hands of your team.

Rank candidates against real role criteria

Compare resumes with a consistent review format

Generate interview questions automatically

Keep recruiters in control of every decision

Create structured reports for hiring managers

Responsible AI for recruiting

AI-assisted screening. Human-led hiring.

Resume Selector is designed to support recruiters, not replace them. It helps structure the first review step, compare candidates against role criteria, and prepare interviews. Final decisions always stay with your hiring team.

Recruiter control by design

• No automatic candidate rejection

• No black-box hiring decisions

• Role-based candidate comparison

• Interview preparation support

• Human review before any decision

Pricing

Simple pricing for faster candidate shortlisting.

One plan for recruiting teams that want to save hours on resume screening without adding another complex ATS.

Pro

From $79/month

For SMEs, founders, and hiring managers who screen resumes regularly.

• 5 active recruitments

• 250 resumes analyzed per month

• Bulk PDF and DOCX upload

• AI candidate scoring

• Explainable shortlist recommendations

• Resume inconsistency detection

• Candidate comparison

• Interview question generation

• Exportable hiring reports

• Priority email support

Start screening resumes

Pro includes 500 resume analyses per month and unlimited active recruitments. Founder adds higher capacity and onboarding.

Frequently asked questions

What is Resume Selector?

Resume Selector is AI-assisted resume screening software that helps recruiting teams upload resumes, compare candidates against role criteria, and create structured shortlists faster.

Does Resume Selector replace recruiters?

No. Resume Selector is designed to support recruiters, HR teams, and hiring managers. It helps structure resume screening and prepare interviews, but final hiring decisions remain with your team.

Does Resume Selector automatically reject candidates?

No. Resume Selector does not automatically reject candidates. It provides structured screening notes, match explanations, and interview questions so your team can review candidates more consistently.

Can Resume Selector analyze multiple resumes at once?

Yes. Recruiting teams can upload multiple PDF or DOCX resumes for a role and review structured candidate profiles, scores, and shortlist recommendations.

What file formats are supported?

Resume Selector supports PDF and DOCX resumes, which are the most common formats used by candidates and recruiting teams.

Who is Resume Selector built for?

Resume Selector is built for recruiters, HR teams, founders, hiring managers, and small recruiting teams that still screen resumes manually.

Is Resume Selector an ATS?

No. Resume Selector is not a full ATS. It focuses on the first screening step: turning a batch of resumes into a structured shortlist that is easier to review and compare.

What happens to candidate data?

Resume Selector uses candidate resumes to generate screening results for your hiring workflow. The app stores recruitment data, candidate analysis, uploaded file metadata, account settings, cookie consent, and billing identifiers. Raw resume text retention is controlled from settings.

Why does Resume Selector start at $79/month?

Resume Selector is priced for teams that regularly screen candidates and want to save hours every month. The value comes from faster shortlisting, clearer candidate evidence, better interview preparation, and less manual resume review.

Async-friendly evaluation

Review the workflow without a sales call

Start with one role, upload a small batch of resumes, and review the generated shortlist at your own pace.

Start screening resumes View sample shortlist

Your next shortlist should take minutes, not an afternoon.

Create a role, upload resumes, and review structured candidate insights from an AI-assisted recruiting workspace.

Start screening resumes View pricing

Screen resumes faster. Shortlist candidates.

Resume Selector helps recruiters, HR teams, and hiring managers screen PDF/DOCX resumes, compare candidates against role criteria, and generate structured shortlists without replacing human judgment.

Human-led hiring decisions. AI-assisted screening.

AI candidate scoring

Bulk CV upload

Explainable shortlists

Human-led hiring decisions