"AI interviewing" is used to describe two very different products. In some contexts it means a video interview platform where candidates record responses to pre-set questions. In others it means a live, conversational AI that adapts its questions based on what the candidate says.
These are not variations of the same tool. They produce different data, create different candidate experiences, and are suited to different hiring contexts. This article clarifies the distinction precisely.
What a video interview platform actually does
A video interview platform, also called a one-way video interview or asynchronous video interview, works as follows:
- •The recruiter creates a set of questions and records or types them into the platform
- •A candidate receives a link and records their answers to each question on video
- •The recruiter watches the recordings at their convenience
- •Some platforms add a scoring layer that analyses facial expression, speaking pace, or keyword frequency
The candidate answers pre-set questions on camera. The platform stores the recordings. The recruiter reviews them.
This replaces the first phone screen in terms of scheduling, the candidate can record at any time, but it does not replace the conversation. The questions are fixed. There are no follow-ups. The recruiter still needs to watch every video.
What an AI voice interview actually does
An AI voice interview is a live, conversational interview conducted by an AI agent. The differences are substantive:
The AI listens to the candidate's answers and asks follow-up questions based on what was said. If a candidate gives a vague answer about a technical project, the AI probes for specifics. If they mention an unfamiliar technology, the AI asks them to explain it. The conversation adapts.
Every response is transcribed in real time. The transcript is used immediately after the interview to generate a scored evaluation, not by a human reviewing a video, but by an AI scoring engine that reads the transcript and assigns scores to defined dimensions with evidence references.
The recruiter receives a hiring summary, not a recording to watch. The summary includes: total score, dimension breakdown, specific quotes from the transcript that supported each score, integrity report, and a hiring recommendation.
Side-by-side comparison
How AI voice interviews compare to video interviews across key dimensions:
| Dimension | Video Interview | AI Voice Interview |
|---|---|---|
| Conversation type | Pre-set questions only | Live, adaptive conversation |
| Follow-up questions | None | Dynamic, based on answers |
| Output for recruiter | Video recordings to watch | Scored summary with evidence |
| Recruiter time required | High (must watch videos) | Minimal (reads summary) |
| Data produced | Video + optional sentiment analysis | Full transcript + structured scoring |
| Scoring evidence | Often opaque (sentiment, keywords) | Transcript-backed per dimension |
| Candidate experience | Feels like recording a video | Feels like a real interview |
| Proctoring options | Basic webcam recording | Real-time 28-point integrity checks |
| DPDP Act compliance | Varies by platform | Built in (consent, disclosure, audit log) |
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Video interviews are appropriate when:
- •The screening question is binary and the answer does not require probing (e.g. "confirm you have a degree in X")
- •The role volume is extremely high and even a scored summary is too much to process
- •Candidate experience is less important than processing speed
AI voice interviews are appropriate when:
- •The role requires genuine assessment of technical competence, communication, or problem-solving
- •Recruiter time is a constraint and summaries are more useful than recordings
- •Interview integrity is important (high-volume entry-level roles, remote-first hiring)
- •The organisation needs an auditable record of every hiring decision
For most professional hiring in Indian IT, staffing, and consulting contexts, an AI voice interview produces substantially better signal than a video recording - because the conversation is adaptive and the output is structured evidence, not a video that requires human review.
What to look for when evaluating AI interview platforms
Not all AI interview platforms deliver on the full promise. When evaluating:
- •Does it conduct live, adaptive conversations, or serve pre-recorded questions?
- •Is scoring evidence-backed (tied to transcript quotes) or opaque (sentiment analysis)?
- •Does it run proctoring in real time, or just record video?
- •Is it DPDP Act 2023 compliant (consent, AI disclosure, audit log)?
- •Can the interview questions be customised per role?
- •Does the output integrate into your ATS pipeline, or require manual export?
An AI interview platform that answers yes to all of these is functionally different from a video interview platform, and should be evaluated as such.