Screening · AI candidate screening
AI candidate screening software compared: which AI tools for candidate screening actually rank your applicants
AI candidate screening software reads every inbound application, scores it against the role you are hiring for, and hands back a ranked shortlist with a written reason under each name. The problem buyers keep running into is that most products sold under that label do something narrower. Some parse resumes into database fields and stop. Some only score an assessment or an interview the candidate completed, which means the pile itself is never read. Some do rank properly, but only on a tier that does not publish a price. Of the 20 other platforms compared on this page, checked in August 2026, five do not read your inbound applications at all, and a sixth reads them but deliberately refuses to rank.
Parse · score · rank · recruiter reviews
Held for recruiter review · never auto-rejected
Screen the pile to watch Prescreener parse every resume, apply your criteria and knockouts, and rank the inbound applicants with a transparent reason on each.
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AI assists · you decide · bias-audited (EEOC / NYC Local Law 144)
Human-in-the-loop you decide
EEOC and LL144 bias-audited
That gap is the single most expensive misunderstanding in this category, and it is easy to fall into because every vendor uses the word screening. A demo will show you AI reading a resume and producing a score, and it will be real. What the demo will not tell you is whether that capability is included on the plan you were quoted, whether it runs on all 600 applicants or only on the ones a recruiter manually pushed into it, and whether the score comes with anything you could show a hiring manager who disagrees with it.
So the table below is built around one question rather than a feature checklist: does this tool read applications that arrive on their own, and what does it give you back? Everything here comes from each vendor's own product and pricing pages. Where a vendor does not publish a rate, this page says so instead of repeating a third-party estimate, because those estimates are frequently wrong and there is no way for a buyer to verify them.
Why it works
What your team gets with AI candidate screening
It reads the pile, not a sample
Prescreener screens every application that arrives, including the ones that land at 2am on the day a posting hits a job aggregator. Nothing waits for a recruiter to push it into a queue, so coverage does not depend on who had time.
A reason under every rank
Each candidate carries the criteria they met and the resume evidence behind it. A hiring manager who disagrees with the order can see exactly what the screen saw, which is the part most scoring tools leave out.
A price you can read before a sales call
Roughly half the platforms in the comparison below quote only. Our pricing is published, which matters when you are trying to build a business case rather than sit through a discovery call to learn a number.
What it handles
Parsed, scored and ranked on autopilot
Prescreener reads every inbound resume, applies your knockout and eligibility criteria, asks the screening questions you set, scores role-fit against consistent criteria, and ranks the applicant pile so your recruiters review the top matches first.
- Screens 100 percent of inbound applicants, not the first 60
- Applies your knockout and eligibility gates identically to every application
- Scores role-fit and returns the whole pile ranked, with reasons
- Asks your screening questions and checks the answers against your criteria
- Works alongside Greenhouse, Lever, Workable or whichever ATS you already run
- Never auto-rejects: it ranks and flags, a recruiter decides
- Bias-audited to support EEOC standards and NYC Local Law 144
Why Prescreener
One step that screens the whole inbound pile
Not a full ATS, not a six-figure assessment suite, and not a staffing agency. Parse, score, rank and hand off in one place, shaped to the criteria you already hire on.
Reads every resume
Prescreener parses every inbound application, applies your knockout and eligibility criteria, and asks the screening questions you set. Applicants consent and are told AI is screening their application, so no qualified person sits in a backlog for days.
Scores role-fit consistently
Every applicant is scored against the same criteria, with a transparent reason on each candidate, so the pile is compared consistently and the scoring stays bias-audited to support EEOC standards and NYC Local Law 144.
Ranks the pile
The strongest matches rise to the top of a ranked pile your recruiters review first. Prescreener never auto-rejects, it ranks and flags candidates for review, and your team makes every decision.
In depth
AI candidate screening software compared, tool by tool
What AI is used to screen resumes?
The AI used to screen resumes falls into three groups. Applicant tracking systems with a built-in matching model, such as Workday with HiredScore, iCIMS with Coalesce AI, SmartRecruiters with Winston Match and Jobvite with Talent Fit. Assessment and interview platforms whose AI evaluates something the candidate completed rather than the resume they sent, such as HireVue, Sapia and Criteria. And dedicated screening layers that sit on top of whatever ATS you already run, which is the category this product is in.
The distinction that decides whether a tool solves your problem is in the second column below. Reading your inbound pile means the software evaluates applications that arrive without anyone touching them. Several well-known vendors in this market do not do that, and it is not a defect on their part, it is simply a different product. HireVue evaluates interviews and assessments. Paradox runs a chat qualification. Both are legitimate tools that will not reduce the stack of 600 resumes sitting in your ATS.
Checked August 2026 against each vendor's own documentation and pricing pages.
| Tool | Reads your inbound pile? | What the AI gives you | How it is charged |
|---|---|---|---|
| Prescreener | Yes, every application | Ranked pile with a written reason per candidate | Published flat rate |
| Workday | Yes, via HiredScore | Candidate grades and ranked slates | HiredScore licensed separately from core Recruiting |
| iCIMS | Yes, Coalesce AI | Applicants ranked on skills and experience | Included; agents and Copilot optional. No published rate |
| SmartRecruiters | Yes, Winston Match | Ranked shortlist against job criteria | Upper editions only. Essential starts at $14,995 |
| Jobvite | Yes, Talent Fit | Ranked list plus a written explanation per match | Quote only, no published rate |
| SAP SuccessFactors | Yes, via Joule | Stack-ranked candidates | Requires AI Units to be licensed |
| Oracle Recruiting Cloud | Yes, if switched on | A 0 to 5 rating, calculated asynchronously | Admin must enable it. No published rate |
| Workable | Yes, Screening Assistant | Semantic match summary per applicant | Included on Recruiting plans; Agent metered per candidate |
| Bullhorn | Yes, Relevancy and Screening Score | Ranked list, plus a 0 to 100 screening score | AI starts at the quote-only Pro tier |
| Spark Hire | Yes, AI Resume Review | Reviewed and scored resumes | Capped at 6,000 reviews a year on Recruit Pro |
| TestGorilla | Yes, resume scoring | A resume score per candidate | Free on every tier, 1 credit per candidate |
| Manatal | Yes, AI candidate scoring | Scored and recommended candidates | All three tiers, from $15 per user per month |
| CVViZ | Yes | Parsed and ranked candidates | From $99 a month, parser packs priced separately |
| JazzHR | Yes, from the Plus plan | AI matching against the req | Plus $3,480 a year, Pro $5,508 a year |
| Recruit CRM | Parses on every tier | AI matching, but capped by plan | 2 matches on Pro, 50 on Business and Enterprise |
| Greenhouse | Parses and filters, will not rank | Structured fields and filters, deliberately no fit score | No published rate |
| HireVue | No | Scores interviews and assessments candidates complete | Quote only |
| BambooHR | No native AI screening | Applicant tracking only | From $10 per employee per month |
| Harver | No | Assessment results | No pricing page |
| Paradox | No | Chat and text qualification | Quote only |
| Sapia.ai | No | Chat interview scoring | Quote only, billed per hire |
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Parsing, matching, scoring and ranking are four different things
Vendors use these four words as though they were interchangeable, and they are not. Getting them straight is most of what a buyer needs, because it tells you which demo claims are actually load-bearing.
Parsing turns a resume into structured fields: name, titles, dates, skills, schools. It is mechanical, it is nearly universal, and it makes no judgment about anybody. Almost every tool in the table above parses, including several that do no screening at all, which is exactly how a product with no AI screening ends up described as an AI screening tool in a roundup.
Matching compares those fields against a job description and returns a similarity result. Scoring attaches a number to a candidate. Ranking orders the whole pile so a human can start at the top. These sound like the same feature described four ways, but they fail differently. A tool can match without scoring, score without ranking the full set, or rank only the candidates a recruiter has already shortlisted, which is precisely the work you were hoping to skip.
The fifth thing, and the one almost nobody sells, is a reason. A rank without an explanation is unusable when a hiring manager pushes back on it, and it is difficult to defend if a candidate or a regulator ever asks how applicants were compared. Jobvite publishes explainability as a headline feature and so do we. Most of the rest of this table returns a number and leaves you to justify it.
Which AI candidate screening tools publish a price?
Ten of the tools compared here publish a rate you can read without talking to a salesperson. The rest quote only, and that pattern is not random: the platforms aimed at enterprise talent acquisition teams almost never publish, while the ones aimed at small teams and agencies almost always do.
This matters more than it looks. If you need to build an internal business case before anyone will approve a purchase, a quote-only vendor means booking a discovery call, sitting through a demo, and waiting on a proposal just to learn the number that decides whether the project is viable. Budget it as three to six weeks, not an afternoon.
One caution about the figures below. Software pricing goes stale quickly, and rates published for one market are sometimes rendered in a different currency depending on where you load the page from. Every rate here was read from the vendor's own pricing page in August 2026. Re-check before you commit to anything, and treat any third-party article quoting a confident annual figure for a quote-only vendor with suspicion, because that number was estimated rather than observed.
| Tool | Published rate | Free trial | AI screening included at that rate? |
|---|---|---|---|
| TestGorilla | $0 free tier, Core $142/mo annual | Yes, free tier | Yes, resume scoring on every tier |
| Manatal | From $15 per user/mo annual | 14 days, no card | Yes, all three tiers |
| CVViZ | From $99/mo, unlimited users | Not advertised | Yes |
| Bullhorn | Starter $99, Core $165 per user/mo | Not advertised | No. AI starts on the quote-only Pro tier |
| Workable | Standard $299/mo, Premier $599/mo | 15 days, no card | Screening Assistant yes; Agent is metered extra |
| Spark Hire | Recruit Pro from $335/mo annual | Not advertised | Yes, capped at 6,000 reviews a year |
| Ashby | Foundations $400/mo to 100 employees | Not advertised | Not published |
| JazzHR | Hero $1,000/yr, Plus $3,480/yr | Not advertised | From the Plus plan |
| SmartRecruiters | Essential from $14,995 | Not advertised | Upper editions only |
| BambooHR | Core $10 per employee/mo | Yes | No native AI screening |
| Greenhouse, HireVue, iCIMS, Workday, Jobvite, Paradox, Harver, Sapia, Criteria | Quote only | Mostly none | Varies, ask directly |
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How can AI improve candidate screening processes?
AI improves candidate screening in one specific way that is worth stating plainly: it removes the link between how many applicants apply and how many actually get evaluated. A recruiter reading carefully manages 20 to 30 resumes an hour. At 600 applicants that is 20 to 30 hours on one requisition, which nobody has, so the pile gets sampled. The first sixty are read properly and several hundred people are never genuinely assessed.
That sampling is the real baseline, and it is the thing to compare an AI screen against. Not careful human review of everyone, which is not what happens, but review of whoever applied early enough. A shortlist built that way is selected substantially by arrival time, which costs you the strong candidate who applied on day four and accepted another offer while their application sat unopened.
The second improvement is consistency, and it is the one that holds up under scrutiny. Applying identical criteria to applicant 1 and applicant 600, and recording why each landed where it did, is more reviewable than an unaudited human sample, not less. The consistency is the product rather than a side effect of it.
What AI does not improve is the quality of your criteria. A screen configured from a job posting that mixes genuine must-haves with nice-to-haves will faithfully treat a preferred degree as though it mattered as much as a required commercial driver license. The highest-value hour in this entire process happens before any software runs, and it is separating knockouts from preferences explicitly.
What to check before you buy AI candidate screening software
Five questions separate a tool that will work from one that will demo well. Ask them in a sales call and the answers arrive quickly, because a vendor who has thought about them will have documentation ready and a vendor who has not will change the subject.
First, does it run on every inbound application automatically, or only on candidates somebody pushed into it? Second, is the screening capability included on the plan you were actually quoted, or does it sit a tier higher? This is the most common unpleasant surprise in the category, and the table above shows how often the AI lives above the published rates. Third, is there a volume cap, and what happens when you hit it mid-quarter?
Fourth, can you see the reasoning behind a rank, in language a hiring manager will accept? Fifth, will the vendor put its bias-audit results, its candidate AI disclosure, and its position on automated rejection in writing before the contract is signed? Nothing should auto-reject; a screen ranks and flags, and a human decides every time.
It is worth being clear that the legal obligation stays with the employer no matter which vendor built the model. Title VII, the ADA and the ADEA apply to any selection procedure at any volume, New York City Local Law 144 requires a bias audit and candidate notice for automated employment decision tools used there, and several other states have their own requirements. A vendor that cannot answer the fifth question is not a vendor with a compliance gap; it is a compliance gap you are about to take on.
Good questions
Questions about AI candidate screening
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Screen every candidate on consistent criteria, then review the top matches.
Learn moreStop reading the inbound pile by hand. Put screening on autopilot.
Set your role and criteria and Prescreener parses every inbound resume, scores role-fit, and ranks the pile for your team. Prescreener ranks and flags candidates, your recruiters make every hiring decision.
Consistent criteria · bias-audited to EEOC and LL144 · human-in-the-loop