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Recruiting technology

Complete guide to AI interview transcription

AI-powered transcription makes it easy to turn interviews into searchable, shareable text without the hours of typing. This guide breaks down how it works, what to use, and how to do it right.
February 8, 2026
Table of contents

    The TL;DR

    AI interview transcription replaces hours of manual typing with speech recognition that can turn a 1-hour recording into text in 5–15 minutes, often with speaker labels and auto-punctuation—making transcripts fast, searchable, and easy to export.
    The economics heavily favor AI: human transcription runs about $1–3 per audio minute ($60–180/hr) while AI typically costs $0.10–0.25 per minute ($6–15/hr), and it scales to batch-process multiple interviews at once.
    Accuracy is conditional and governance matters: clear audio drives high-quality output, but noisy rooms, accents, and multi-speaker overlap still require human review—plus you need consent, encryption, access controls, anonymization, and GDPR/HIPAA compliance for sensitive interviews.

    Interview transcription helps turn spoken conversations into written text. It's often used to review, organize, or analyze what people said during an interview. Traditionally, this process has been done by people listening to recordings and typing everything out by hand.

    Now, artificial intelligence (AI) can do this work automatically. With AI interview transcription, a computer program listens to the audio and creates a text version of the conversation. This process is faster and doesn't require someone to type every word.

    AI transcription tools are used in many fields. Researchers use them to study interviews. Journalists use them to quote sources. Human resources teams use them to record interviews.

    What is AI interview transcription?

    AI interview transcription is the process of using artificial intelligence to convert recorded interviews into written text. The technology uses speech-recognition algorithms to identify words and sentences in audio recordings.

    A transcription is simply a written version of what was said during an interview. This includes the words of both the interviewer and the person being interviewed. AI transcription differs from manual transcription because it uses computer software instead of a human typist.

    The technology works by breaking down sound into small pieces and matching them to words in its database. Modern AI transcription can also identify different speakers and add punctuation automatically.

    Common types of interviews that use AI transcription include:

    • Research interviews
    • Job interviews
    • Podcast interviews
    • Journalist interviews
    • Customer feedback sessions

    Key elements of AI interview transcription include:

    • Speech recognition: The AI identifies spoken words by analyzing sound patterns
    • Text conversion: The software converts recognized speech into written words
    • Speaker identification: Many tools can tell when different people are speaking

    Why use AI for your interview transcripts

    AI transcription offers several advantages over manual transcription methods.

    Speed – AI can transcribe a one-hour interview in minutes, while manual transcription typically takes several hours for the same task.
    Cost – Professional human transcription typically costs between $1–3 per audio minute. AI services usually charge $0.10–0.25 per minute.
    Accuracy – Modern AI tools deliver high accuracy on clear audio, though quality varies with recording conditions.
    Scalability – You can transcribe multiple interviews at once, which is impossible with manual transcription.

    Comparison Table:

    Feature

    Manual Transcription

    AI Transcription

    Speed

    4–6 hours per hour of audio

    5–15 minutes per hour of audio

    Cost

    $60–180 per hour of audio

    $6–15 per hour of audio

    Accuracy

    95–99% with editing

    High accuracy on clear audio; varies with quality

    Scalability

    One file at a time

    Multiple files simultaneously

    How to transcribe interviews using AI

    1. Choose reliable transcription software

    Look for high accuracy, language support, file compatibility, and good editing tools.
    Popular options: Otter.ai or Fireflies.

    2. Upload or record your audio or video

    Most platforms accept MP3, WAV, MP4, MOV, etc. Create an account, upload, choose settings, and start transcription. Some let you record directly or connect to Zoom.

    3. Edit and verify the transcript

    Review misheard words, punctuation, speaker labels, and remove filler words. Most editors show the text alongside the audio for easy review.

    4. Export in multiple formats

    TXT, DOCX, PDF, SRT, or share by link/email.

    Best interview transcription software and tools

    Research-focused tools (e.g., Notably) add tagging, sentiment analysis, and Zoom integration.
    Media/journalism tools (e.g., Otter.ai) emphasize speaker identification and timestamps.
    Budget-friendly options (e.g., Notta) give limited free hours or low-cost plans.

    Key features to compare:

    • Accuracy
    • Speaker differentiation
    • Language support
    • Integrations
    • Editing interface

    Programs for transcribing interviews on a budget

    • Free tools work for occasional use but often have limits.
    • Freemium models offer free basics but charge for extras.
    • Low-cost subscriptions ($8–20/month) are best for light, regular use.

    Money-saving tips:

    • Use free trials strategically
    • Look for educational discounts
    • Choose annual billing
    • Share accounts when allowed

    Tips for multi-speaker and noisy audio recordings

    1. Improve recording quality
      Use external mics and test in your real environment.
    2. Position microphones properly
      Place close to each speaker; use headsets for remote interviews.
    3. Use noise reduction features
      Many tools can reduce consistent background noise and enhance speech clarity.
    4. Edit speaker labels manually
      AI may confuse voices—review and relabel as needed.

    Who benefits from AI interview transcription

    • Researchers – for coding and theme analysis
    • Journalists – for fast, searchable quotes
    • HR professionals – for consistent documentation
    • Content creators – to turn interviews into other formats

    Protecting privacy and data in interview transcripts

    • Data security: Choose platforms with encryption
    • Consent requirements: Inform and get permission
    • Confidentiality practices: Limit access, anonymize data
    • Regulatory compliance: Follow GDPR, HIPAA, etc.

    Best practices:

    • Store files securely
    • Share only with authorized personnel
    • Delete recordings when no longer needed
    • Remove identifying details where appropriate

    How Truffle uses AI-assisted transcription for candidate screening

    Truffle is an AI-assisted candidate screening tool that helps hiring teams review every applicant without spending the whole week on phone screens. Candidates record video responses to your questions on their own time, and Truffle's AI surfaces summaries, match scores, and key insights so you can quickly identify who's worth talking to. The platform also includes three AI-resistant assessments — Personality, Situational Judgment, and Environment Fit — that measure what AI can't fake.

    Behind the scenes, Truffle's AI transcribes each candidate's response and surfaces structured insights: summaries, match scores based on your requirements, values alignment signals, and Candidate Shorts that highlight key moments. Recruiters don't have to watch every full recording — the AI surfaces what matters, and you decide who moves forward.

    Truffle makes it possible to screen dozens of candidates quickly without sacrificing quality or consistency. AI-assisted transcription ensures every response is captured and summarized in a structured, transparent format — so you can review candidates based on what they actually said, with no more missed details and no more manual notes.

    FAQs about AI interview transcription

    How accurate is AI interview transcription?
    High accuracy on clear audio; lower with poor audio quality or heavy accents.

    How much does it cost?
    Free for limited use; $10–30/month for most users; pay-per-minute also available.

    Can AI transcribe interviews in multiple languages?
    Yes, many tools support multiple languages, though quality varies.

    How long does it take?
    AI transcription typically processes audio much faster than real time, so a 60-minute interview might take just minutes to transcribe.

    Is AI transcription secure for confidential interviews?
    Most platforms offer encryption and privacy settings—always check first.

    Sean Griffith
    Sean began his career in leadership at Best Buy Canada before scaling SimpleTexting from $1MM to $40MM ARR. As COO at Sinch, he led 750+ people and $300MM ARR. A marathoner and sun-chaser, he thrives on big challenges.
    Author
    You posted a role and got 426 applicants. Now what — read all of their resumes and phone screen 15 of them?

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