How to Transcribe an Interview With AI (2026 Guide)

How to Transcribe an Interview With AI (2026 Guide)

Yes, you can use AI to transcribe an interview, and it takes minutes instead of hours. Record clean audio, get the recording’s consent from everyone on the call, run it through a speech-to-text service with speaker labels switched on, then check the result against the recording. “Interview” can mean two things, though: a recorded conversation you want as text (research, journalism, HR), or a live job interview where you want the questions captured as they are asked. This guide covers both.

TL;DR

• AI can transcribe Zoom, Teams, video and phone interviews. The quality of the recording decides most of the quality of the transcript.
• Always review the output. AI tools can add words that were never said, mix up speakers and stumble on accents, names and numbers.
• Tell everyone you are recording or transcribing and get consent first. Check where the tool stores your data and whether it trains on it.
• For live job interviews, real-time transcription of the interviewer’s questions is what powers AI interview assistants, and honesty about using one matters.
• Interview Pilot is free to download ($0 per month) and has an Unlimited plan at $49.99 per month.

Two kinds of interview transcription

Most pages that rank for this topic are built for people who already have a recording: a journalist with a phone call, a researcher with an hour of fieldwork, an HR team with candidate screens. For them, transcription is a file-in, text-out job. You upload, the software labels speakers and timestamps, and you edit.

The second kind is live. A job seeker is on a video call, the interviewer asks a question, and software turns the speech into text within a second or two so that a response can be drafted. That is a different workflow with different risks, and we cover it further down.

The basics are the same for both: good audio in, a human check out.

The workflow that works for recorded interviews

A useful way to think about it is that transcription is a workflow, not a button. Here is the sequence we recommend.

1. Capture clean audio

This is the step people skip and regret. Guidance on interview transcription consistently comes back to the same advice: use a quiet room, use an external microphone rather than a laptop’s built-in one, and ask speakers to talk clearly and avoid interrupting each other, as Transcribe’s interview guide puts it. Two people talking over each other is the hardest thing for a model to untangle.

2. Pick the right tool for your sensitivity level

Before uploading anything, decide how sensitive the content is. A casual chat with a colleague can go through almost any service. A research interview with identifiable participants, a legal conversation or an HR case needs a tool that is covered by your organization’s agreement, or one that runs locally. NYU’s library guide suggests reviewing a vendor’s data retention, privacy policy and whether your data is used for model training, using its rubric for evaluating AI transcription tools.

3. Test with a sample first

Northwestern University IT advises testing a specific AI transcription service with a sample recording before committing to full-scale use, to see whether accuracy meets your needs. Five minutes with your actual speakers, accents and room noise tells you more than any feature list.

4. Set the options before you run it

Three settings matter most:

• Language. Choose it explicitly if you know it rather than relying on auto-detection, especially for non-native speakers. Switch it before you process the file: some tools regenerate the whole transcript, and delete your highlights, if you change the language afterward.
• Speaker labels (diarization). Turn them on for any interview with more than one voice.
• Verbatim or clean output. Verbatim keeps every “um” and false start, which matters for linguistic or legal work. A cleaned-up version reads better for articles and notes.

5. Check against the recording

Never publish or quote an AI transcript unchecked. We cover what to look for in the accuracy section below.

Transcribing a Zoom or Teams interview

Video-call platforms have built-in options, and the details differ.

Zoom. Northwestern’s guidance notes that you must explicitly turn on live captioning or transcription after the meeting starts, and save the transcript before the meeting ends, because it is not saved automatically. Many people record the call and assume the text comes with it. It does not.

Microsoft Teams. According to the same university guidance, Teams starts a live transcript when recording starts. You can download it afterward from the meeting chat or from the recording file in OneDrive.

Storage. For sensitive interviews, Northwestern advises recording Zoom or Teams sessions directly to your computer or a local drive rather than the cloud, to keep control of the data and avoid unwanted backups.

If you already have an MP4 or MOV recording, the easiest route is to upload the file to a transcription service that accepts video. You do not need to extract the audio yourself in most cases.

Transcribing a phone interview

Phone calls are the hardest input. Phone-line audio is compressed and limited in frequency range, which lowers accuracy, a point made in Atter AI’s 2026 interview guide. The same guide lists proper nouns, technical jargon, numbers, accents, code-switching and overlapping speech as the places to do a manual pass.

The practical steps:

1. Ask the other person for permission to record, and get a yes on the recording itself.
2. Record using a call-recording feature, a second device, or speakerphone with a decent microphone nearby.
3. Save the file as MP3, WAV or M4A.
4. Upload it, choose the language, switch on speaker labels and run it.
5. Read the transcript while listening, with extra attention to names, figures and dates.

Recording laws differ by state and country, and some require every party to consent. If the interview is part of professional work, check the rules that apply to you before pressing record.

How accurate is AI interview transcription?

Good audio with one clear speaker can come out nearly clean. Difficult audio will not. NYU’s guidance warns that accuracy varies with language and sound quality, and that tools can add text that was never said or misattribute speakers, which can be misleading or offensive in a published quote.

Here is what typically trips AI up and what to do about it.

For heavy accents or poor audio, some providers themselves say manual transcription can give better results. A human pass, even a paid one for the key passages, is worth it when the quote matters.

AI can also help after transcription. A 2024 study in the American Journal of Qualitative Research found that ChatGPT, given specific commands, could clean qualitative interview transcripts with a word error rate under 1%. That is a result under controlled conditions with a specific prompt, not a promise for every file, so keep the checking step.

Consent, privacy and where the transcript lives

This is where most careless workflows fail.

Tell people. Harvard’s guidelines say participants should be told at the start of a meeting when an AI assistant is transcribing, and should have the chance to object. Harvard also advises using only AI assistants covered by an enterprise agreement with security and privacy protections, and deleting transcripts when you no longer need them.

Put it in writing for research. A joint editorial recommends adding a clear, jargon-free AI transcription clause to information sheets and consent forms, and notes that some services retain data to improve their algorithms, so participants should know about retention and possible training use.

Professionals have extra duties. The New York City Bar Association’s Formal Opinion 2026-2 tells attorneys to get consent from all other parties before recording a call and to understand how an AI tool records, transcribes, stores and shares information. It is guidance under New York’s professional conduct rules, but the habit applies to anyone handling confidential conversations. If your interviews involve client or patient information, ask your compliance officer or counsel before choosing a tool.

Check local processing. If you want a tool that never sends audio to the cloud, Northwestern suggests verifying it by disconnecting from the internet and confirming it still works.

Free tools deserve extra scrutiny. NYU’s library notes that free AI tools often trade privacy, data transparency and usability for the price, so read the terms of service before uploading anything sensitive.

Real-time transcription in a live job interview

Now the second meaning. AI interview assistants capture the interviewer’s speech live and can generate a response while the question is still fresh. Built In reported in February 2026 that these assistants can transcribe questions in real time and generate answers, and that recruiters generally see secretly using generated answers as inappropriate or deceptive. Business Insider has also reported on proxy-interview arrangements in which real-time transcripts were used to feed candidates answers to tough questions.

So be clear about what live transcription is good for and where the line sits:

• Good use: catching a long multi-part question you would otherwise lose, supporting you if you are interviewing in your second or third language, and keeping your own talking points in view when nerves hit.
• Risky use: reading generated answers word for word, or using a tool when the employer has said no outside assistance. Check the employer’s stated rules before the interview.

Researchers have looked at this trade-off too. A 2026 academic study from researchers at the National University of Singapore and Harvard describes real-time AI support as useful for reducing documentation burden while leaving open problems around visual attention, interaction complexity, trust and verification. Looking at a second screen while someone is asking you a question costs you eye contact, and that is visible.

If you want the practice-side version of this, our guide on using AI for interview practice responsibly lays out how to rehearse with AI without leaning on it in the room.

Our perspective on transcripts and live interviews

We build for people on the other side of the table from the researcher: the candidate with a call in ten minutes. What we see is that the hard moment in an interview is rarely knowing the material. It is turning what you know into a clear answer, in real time, in a language or accent that may not be your first, while someone watches.

That is why we treat speech recognition as the foundation and not the product. A transcript of the question is only useful if it helps you answer in your own voice. We built Interview Pilot to understand a wide range of accents and more than 99 languages, so that a non-native speaker’s question gets captured as reliably as anyone else’s, and so that the response you see is something you can adapt and deliver as yours.

Our view on the ethics is simple. Use AI the way you would use notes: to organize what you already know, not to impersonate someone you are not. Read the employer’s rules, prepare your own examples, and practice until the suggestions are only a prompt. If a transcript or suggestion ever sounds unlike you, change it.

— Kingsley

Try live support with Interview Pilot

If your goal is support during a real online interview rather than a transcript file afterward, Interview Pilot listens to the conversation and generates tailored responses as the questions come in. It works across Mac, Windows, iOS and Android, supports 99+ languages and accents, and uses industry-standard encryption.

You can download it free and try it before paying. The Free plan is $0 per month, and the Unlimited plan is $49.99 per month; see the pricing page for what each includes. If you are still deciding how it fits, what an AI interview assistant is and how it works explains the mechanics.

Setup differs by platform, so pick your call tool: we have step-by-step guides for Zoom, Microsoft Teams, Google Meet and Webex. Test your setup in a mock call before the real one.

What to do with the transcript afterward

A transcript is raw material. For recorded research or journalism interviews, search it for quotations, tag themes, and anonymize names where your consent terms require it. Delete the recording and text when your retention period ends.

For your own job search, the habit pays off differently. If you practice with recorded mock interviews and transcribe them, you can read your own answers on the page. You will spot filler words, rambling openings and missing results. Pull the strongest stories into a running log of achievements with numbers attached. That log feeds straight into your application documents, and an ATS-friendly resume format helps make sure the same achievements get past automated screening before anyone invites you to interview.

If you want a structured way to rehearse first, our AI mock interview page is the place to start.

A quick checklist before you press record

1. Everyone on the call knows and agrees to recording and AI transcription.
2. You know where the file and transcript will be stored, and for how long.
3. You tested the tool on a short sample with the real speakers.
4. Language and speaker labels are set before processing.
5. You have time to read the transcript against the audio, especially names and numbers.
6. For a live job interview, you checked the employer’s rules on outside assistance.

FAQ

Can I use AI to transcribe an interview?

Yes. Universities such as Northwestern list several ways to transcribe interviews with AI, from built-in Zoom and Teams transcripts to uploading recordings to a transcription service. Get consent first, choose a tool that fits how sensitive the content is, and review the output before you rely on it.

Can ChatGPT transcribe an interview?

ChatGPT is better known for cleaning and analyzing text than for producing the first transcript. A 2024 study found it could clean qualitative interview transcripts with very low error when given specific commands. For the initial speech-to-text step, use a tool built for audio, then bring the text to a chatbot for tidying if you want.

Is AI interview transcription accurate enough to quote?

Not without a check. AI tools can misattribute speakers, add text that was not spoken and struggle with accents, names, numbers and phone audio. Listen to the recording as you read, and verify every quote before you publish it.

Can AI transcribe an interview in real time?

Yes. Live captioning in Zoom and Teams does it, and AI interview assistants use real-time speech recognition to capture questions as they are asked. If you use one in a job interview, follow the employer’s rules and use it to support your own answers, not replace them.

Sources

• AI Transcription of Research Interviews, Northwestern University IT
• For Transcription: Evaluating Generative AI Tools, NYU Libraries
• AI Assistant Guidelines, Harvard University Information Technology
• Joint Editorial: Informed Consent and AI Transcription, PubMed Central
• Formal Opinion 2026-2, New York City Bar Association
• Using ChatGPT to Clean Qualitative Interview Transcriptions, American Journal of Qualitative Research
• Can I Use AI in a Job Interview?, Built In
• AI Helps Workers Bluff Through Job Interviews, Business Insider
• InterPilot: Exploring the Design Space of AI-assisted Job Interviews, arXiv

Recommended

• How to Use AI for Interview Practice Responsibly
• AI Interview Assistant: What It Is & How It Works
• How AI Interviews Work: Tools, Decisions, and Questions to Ask
• AI and Interview Technology: A Practical Guide