TL;DR
If you're comparing AI interview platforms in 2026, you're likely choosing between three types of tools:
Most teams we speak to are stuck joining 2-3 tools together. Others pay too much for enterprise software they don't fully use. If you hire in high volume, finding tools is easy. The hard part is finding one system that can replace first-round interviews without breaking your workflow or your budget.
This list compares tools against that need. For most mid-market teams, the answer is Goodfit.
- Enterprise video interview platforms that are powerful but priced for global companies
- Single-purpose tools (coding tests, personality tests) that handle one part of screening and leave the rest to you
- Newer AI-first platforms that run the interview and score it from start to finish
Quick comparison table
A quick look at each platform: what it does well, where it falls short, its starting price and the team it suits.
- Goodfit: AI screening from start to finish (interviews, tests and a built-in ATS). Does not source candidates. Pay per interview, no seat fees. Best fit: high-volume hiring across functions.
- HireVue: Enterprise video interviews and integrations. Too much for most teams, no built-in ATS. From ~$35,000/year. Best fit: global enterprise.
- Intervue.io: Deep technical interviews run by human engineers. Hard to use for volume, expensive, engineering only. Roughly $25–35 per interview. Best fit: senior engineering hires.
- HackerEarth: Strong coding assessments. No real interview step and limited for non-tech roles. Roughly $18+ per candidate. Best fit: engineering-heavy teams.
- Spark Hire: Simple recorded video interviews. No AI scoring, so someone still watches every video. From $149/month. Best fit: low-volume SMB hiring.
- Mettl (Mercer): Mature test and proctoring suite. Long setup, slow enterprise buying process, hard to change quickly. Custom pricing. Best fit: large enterprises.
- TestGorilla: Large test library for skills-based hiring. No spoken AI interviews and no built-in ATS. From $75/month. Best fit: global remote hiring.
Why AI interview platforms have become non-negotiable in 2026
If you run hiring for a company with 200+ employees, you know what the last two years did to your inbox. Many candidates now send resumes written by AI. These pass every keyword filter. They pass written tests by pasting the questions into ChatGPT. Then they fail badly in the real panel interview. On our sales calls at Goodfit, this point lands the hardest. One prospect said it plainly: "Written tests are old school now." She was right. Anyone can paste your test into an AI tool and get perfect answers in 90 seconds.
The other half of the problem is time. One prospect we spoke with got 200 profiles for every job post. Her team tracked all of it by hand in Excel, with one assistant doing the work. Her panel interviewed 20 people to fill one role. Hiring more people to handle this does not fix it. The tools on this list are built to fix it.
In this piece I give an honest review of each platform. It is based on real product specs, real user reviews from G2 and Reddit, and what we hear from HR teams comparing these tools.
I ranked and compared them on six points. First, how deep the AI interview goes: does it score answers against a rubric, or just record video? Second, whether the proctoring really catches cheating or is just a checkbox. Third, how clear the pricing is. Fourth, language support. Fifth, whether an ATS is included or you need another tool. Sixth, how fast you can go from signup to your first live interview.
1. Goodfit
Best for: High-volume hiring across functions at mid-market companies, staffing agencies and small HR teams.
Goodfit's main product is an AI voice interview that candidates take on their own time. It acts like a first-round interviewer. A candidate gets a link and does the interview when it suits them. The AI asks questions based on the job description and asks follow-up questions based on the answers. It then scores each answer against a rubric you set.
Every score links to the moment in the transcript and recording it came from. You do not just see "strong communication." You see the quote, like "at 2:14 the candidate explained X," and can play that part of the call.
Where Goodfit stands out: It scores answers, where most tools only collect them. It checks for cheating beyond basic proctoring. On web interviews, it checks for a second person in the room, earbuds, reading from notes, a photo held up to the camera and AI assistant tools. It puts your whole screening process in one place. That includes AI interviews, coding tests in a full code editor (Monaco, 15+ programming languages), skill tests (9 question types), psychometric assessments (OCEAN, MBTI, DISC and more) and a built-in ATS with a drag-and-drop pipeline, team comments and reports. Interviews run in 14 languages, so candidates can answer in the language they think in.
What it does not do: Goodfit does not find candidates for you. It starts after people apply.
Pricing: Pay per interview credit (see pricing). No subscription, no per-seat fees and 20 free assessments to start.
Bottom line: If your problem is screening volume rather than finding candidates, Goodfit replaces first-round interviews without adding work for your team.
2. HireVue
Best for: Global enterprises with structured hiring programs.
HireVue is one of the best-known platforms in this category. It offers recorded video interviews, game-based thinking and behavior tests, and structured scoring workflows. Its strength is its large set of partners. It connects well with enterprise ATS tools like Workday and Greenhouse.
Where it works well: polished candidate experience, reliable enterprise integrations, scoring by competency.
Where it breaks: priced for enterprise budgets (~$35,000+/year), no built-in ATS (relies on integrations), and AI scores that hiring teams may find hard to explain.
Bottom line: A strong choice for global enterprises. More than most mid-market teams need.
3. Intervue.io
Best for: Senior engineering roles that need a deep technical interview.
Intervue.io works differently. It does not use AI interviews. It connects candidates with experienced engineers who run live technical interviews.
Where it works well: high-quality technical interviews, clear results for senior engineering roles, real people who dig into system design and architecture.
Where it breaks: hard to use for volume hiring, expensive (roughly $25–35 per interview), engineering roles only, no ATS and nothing for non-technical roles.
Bottom line: Great for a few high-stakes engineering hires. Not a screening tool for volume.
4. HackerEarth
Best for: Technical hiring where coding skill is the main filter.
HackerEarth is a well-known platform for coding assessment. Candidates solve problems in a real code editor. It scores them on correct answers, run time, memory use and edge cases.
Where it works well: strong coding environment, large question library, reliable automatic scoring.
Where it breaks: it is mainly a test tool, not an interview platform. It has limited support for non-technical roles, no spoken AI interview and only standard proctoring.
Pricing: Usually about $18+ per candidate (credit-based).
Bottom line: Strong for engineering screening. Not built to run the whole hiring process.
5. Spark Hire
Best for: Small businesses that want simple video screening.
Spark Hire focuses on one-way video interviews. Candidates record their answers. Recruiters watch them later.
Where it works well: simple setup, clean design, easy sharing with hiring managers.
Where it breaks: less AI scoring than newer platforms. Someone still has to watch every answer. Proctoring is minimal and there is no built-in ATS.
Pricing: Starts at $149/month.
Bottom line: You swap phone screens for video review, but you still have to review every candidate by hand.
6. Mettl (Mercer Mettl)
Best for: Enterprises running structured testing programs.
Mettl is a mature test platform. It covers psychometric tests, skill tests, coding tests and proctoring for high-stakes exams.
Where it works well: strong compliance and audit records, strong proctoring, enterprise-grade test frameworks.
Where it breaks: long setup and buying cycles, custom pricing, harder to set up a quick interview for a specific job description.
Bottom line: Powerful but heavy. Best for enterprises with their own testing teams.
7. TestGorilla
Best for: Skills-based hiring with standard tests.
TestGorilla aims to replace resumes with test scores. It has a large library of ready-made tests. These cover thinking skills, personality and job roles. Its written tests come in many languages.
Where it works well: wide range of tests, easy to create and send tests, strong for global remote hiring.
Where it breaks: it has some AI interview features, but they are not its main strength. It does less spoken evaluation than AI-first interview platforms, and it has no built-in ATS.
Pricing: Free plan available; paid plans from $75/month.
Bottom line: Strong for standard testing. Weaker at judging communication, reasoning or thinking on the spot.
How to choose the right AI interview platform for your team
By now the differences are clear. The choice depends on how you hire.
If you're a global enterprise with a big budget, strict compliance needs and a long buying process, HireVue or Mettl make sense. If you're hiring a few senior engineers and need deep technical interviews, Intervue.io is worth the cost. If you only test skills and don't need spoken interviews, HackerEarth or TestGorilla can work.
Now say you get 50 to 200+ applications per role. You hire across many functions, not just engineering. Your team spends hours on first-round interviews. And you don't want to run three separate tools. Then you don't need more features. You need fewer tools. You need one system that runs interviews, scores candidates, catches cheating and tracks your pipeline. It should not cost or take as long as enterprise software.
That is what Goodfit is built for. For most mid-market teams hiring in high volume, it is the most practical choice on this list.
Frequently asked questions
What is an AI interview platform and how is it different from a video interview tool?
A video interview tool records candidates answering set questions. An AI interview platform also scores the answers. With a video tool, a recruiter still watches every recording and judges it by hand. With an AI interview platform like Goodfit, the AI listens to the answers and scores each skill against your rubric. It ranks the candidates before your team looks at anyone. You go from watching 50 videos to reading 10 scored reports.
Are AI interview platforms legal to use?
Yes, in most places, but the rules on telling candidates and auditing tools differ. In the US, the Illinois Artificial Intelligence Video Interview Act requires notice and consent before AI reviews video interviews. New York City requires bias audits for automated hiring tools. In the EU, GDPR applies, and the AI Act treats hiring AI as high-risk. Everywhere, tell candidates an AI runs the interview and how you will use the recordings. Most platforms do this with a consent screen at the start. Check the rules where you hire with your legal team.
Can candidates tell they are talking to an AI interviewer?
Usually, yes. The platforms in this category do not try to pass as human. Goodfit tells candidates clearly that an AI is interviewing them. The AI now asks follow-up questions based on what the candidate just said, so the talk feels natural. Still, candidates generally know. On G2, the most common candidate feedback is that they like doing the interview on their own schedule, even when they know an AI runs it.
How does AI proctoring actually detect cheating in 2026?
Basic proctoring checks for tab switching, leaving full screen and whether the face is visible. Goodfit goes further on web interviews. It checks for a second person in the room, earbuds, reading from notes, a photo held up to the camera and AI assistant tools. Voice interviews also get a lip-sync check. Each flag links to the moment in the recording, so your team can watch it and decide. One small flag does not have to rule out a candidate who did well otherwise.
What is the minimum hiring volume where an AI interview platform starts making sense?
The case is clear once you fill more than three roles a month and get more than 50 applications per role. Below that, doing it by hand is annoying but manageable. Above it, doing it by hand costs you recruiter hours, panel time and slower hires. We have spoken to companies getting 200+ applications per role across many open jobs. First-round interviews took up the whole week of a hiring manager who had other work to do. At that point, the question is which platform to use, since doing it by hand no longer works.
Does the AI interview replace human interviews entirely?
No. Every platform in this category uses the AI interview as a first-round screen. People still make the hiring decisions. The AI builds the shortlist, and your team decides. The change is that your team chooses between five well-assessed candidates. They no longer interview twenty applicants they know nothing about. Goodfit also suggests follow-up questions for the hiring manager, based on gaps or unclear answers in the AI interview. That makes the human interview more focused.
How long does it take to set up an AI interview for a new role?
With Goodfit, you paste in a job description and it writes a set of interview questions. You can keep them as they are or edit any question. You can change how much each skill counts, add knockout pre-screening questions and publish the interview link in under fifteen minutes. Candidates take the interview on their own time. Results show up in the dashboard as each one finishes. There is no scheduling.
Which AI interview platform is best for multilingual hiring?
Goodfit runs the spoken AI interview itself in 14 languages, including English, Arabic and Japanese, and writes the scorecard in English. Other tools on this list support different sets of languages for their tests and video questions, so check each vendor against the languages you hire in.