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  1. Home
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  3. GPT Transcribe

GPT Transcribe

GPT Transcribe turns audio and video into timestamped, speaker-labelled transcripts across 100+ languages, powered by OpenAI Whisper.

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Introduction

GPT Transcribe is an online AI speech to text workspace that converts audio and video recordings into searchable, timestamped transcripts. Every transcription job runs on OpenAI Whisper, a model trained on hundreds of thousands of hours of multilingual speech, which is why regional accents, industry jargon and background noise hold up far better than they do in phone dictation tools. There is nothing to install: GPT Transcribe runs in the browser, so a recording goes from file to finished transcript on one screen.

How it works

GPT Transcribe accepts audio three ways. Upload a file from your machine, hit record and capture something live in the page, or paste a media URL and let GPT Transcribe fetch the audio itself, which is useful when the file is large or lives somewhere you would rather not download twice. Pick a transcription language or leave it on auto-detect, and the transcript lands in a panel alongside the intake controls.

Key features
  • Audio and video in the same console: MP3, WAV, M4A, FLAC, OGG, MP4, MOV and WebM, with uploads up to 1GB, so a screen recording needs no conversion before its voice track can be transcribed.
  • 100+ languages with automatic detection, which matters for cross-border calls and multilingual interviews.
  • Speaker diarization: turn on speaker labels and a two-hour interview or panel arrives already split by voice.
  • Search and fix in place: jump to any word in the transcript, correct a misheard name once, and keep the timestamps intact so captions stay in sync.
  • Six export formats: TXT, SRT, VTT, JSON, PDF and DOCX. SRT drops into a video timeline, DOCX goes to a client or editor, JSON carries timestamps into your own pipeline.
  • AI tooling on Pro and Max: AI Summary and AI Analytics on any transcript, chat questions against a transcript, and translation into 100+ languages.
Use cases

Journalists turn recorded interviews into quotable, speaker-labelled text. Video creators export SRT captions straight to YouTube, Vimeo or an editing timeline. Podcasters produce show notes and searchable episode archives. Product and operations teams keep meetings searchable months later. Students and researchers transcribe lectures, seminars and field recordings. Developers pipe JSON transcripts with timestamps into their own automation.

Pricing

GPT Transcribe is freemium. Every account opens with free transcription minutes, enough to run a real recording end to end before paying anything. Starter is $4.90 per month billed yearly for 1,440 minutes; Pro is $14.90 per month for 7,200 minutes plus the AI tools and translation; Max is $24.90 per month for 36,000 minutes at the lowest per-minute rate. Credit packs cover the months a long recording pushes you over an allowance.

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Information

  • Publisher
    Joaquin Garcia
  • Websitegpt-transcribe.org
  • Published date2026/07/30

Categories

  • AI
  • Audio

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  • English Supported
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