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Audio to text

Turn a recording into text you can edit and download, transcribed on your own device.

Transcribe a file

  1. 1 Choose a file
  2. 2 Settings
  3. 3 Transcribe
  4. 4 Transcript

Drop an audio file here

or choose one from your device

MP3, M4A, WAV, OGG, FLAC or a video, up to 6 hours.

Who this is for

This page is for anyone with a recording and a need for the words: a call or interview to quote from, a lecture to study, a voice memo to turn into notes, a podcast episode that needs show notes or subtitles. Choose an MP3, M4A, WAV, OGG or FLAC file. Before you press Transcribe, the page shows how long it expects to take, then writes each line with the time it was said. Click any time to hear that moment again, correct what the model misheard, and download the transcript as plain text or as SRT or VTT subtitles. There is no account and no limit on how many files you transcribe.

The numbers behind it

  • The speech model is OpenAI’s Whisper, trained on 680,000 hours of multilingual speech. The page runs Whisper base (74 million parameters) or tiny (39 million) in the browser. Source
  • Voice Memos on a Mac records Compressed (smaller files) or Lossless (larger files), set in Voice Memos › Settings › Audio Quality. Compressed recordings are AAC in an M4A file. Source
  • Microsoft 365 subscribers can transcribe at most 300 minutes of uploaded audio a month with Transcribe in Word for the web. Source
  • English speakers in the United States average about 150 words a minute, so an hour of steady talk is roughly 9,000 words of transcript. Source

How to convert MP3 to text

Choose the MP3 or drop it on the box above. The page reads its length and checks that it can decode the sound before anything else is downloaded, so a damaged or unusual file is caught in a second rather than after a long wait. Leave the language on Detect automatically, or pick it if the first half-minute is music or a different language from the rest.

Press Transcribe. The first time, the speech model downloads and your browser keeps it, so the next file starts at once. Lines appear about every half-minute of sound, with the time left underneath. When it finishes, play the recording from any line, fix names and terms, and press Download .txt. The same steps work for M4A, WAV, OGG, FLAC and the sound of a video file.

Voice memos, calls and phone recordings

On an iPhone, open Voice Memos, tap the recording, tap the three dots, then Share and Save to Files. On this page, choose that file from Files; on a computer, AirDrop it or save it to iCloud Drive first. On a Mac, drag a memo from Voice Memos into a Finder window. Android recorder apps usually save M4A or MP3: share the file to your computer or open this page on the phone.

A phone call recorded on speaker, a meeting recorded from the middle of a table and an interview recorded on a phone between two people all transcribe, but each extra metre between a voice and the microphone costs accuracy. When two people talk over each other the model usually writes one of them and drops the other. It does not label who is speaking, so for an interview, add names as you read through.

How long a transcript takes

The work happens on your device, so speed depends on it. Before you start, the page says how long it expects the whole recording to take, in minutes, from the kind of device you are on; once it has run once, it uses the speed it measured on yours. A recording that would take more than 20 minutes is offered online transcription as well, which you can take or leave.

These figures come from our own tests and from visitors’ runs of the same engine, for one hour of sound. Your computer may be faster or slower, and the model download is extra the first time.

Where it runsModelTime for 1 hourSpeed
Mac, graphics cardStandardAbout 8 minutes7–8× real time
Mac, processorStandardAbout 15 minutes4× real time
Mac, graphics cardSmallAbout 6 minutes10× real time
Windows laptops, graphics cardStandard20 to 90 minutesAbout 0.7–3× real time
Online backup (your choice)Whisper large-v3 turbo12 minutes or less5× real time or faster
Time to transcribe one hour of audio, measured in October and November 2026. Mac figures are from a 2020 MacBook Air (Apple M1, 16 GB); the Windows range is from visitors’ laptops using the graphics card.

How to get a more accurate transcript

Clear speech close to the microphone matters more than anything the page can do. On clean English narration we measured 1 to 2 words in 100 wrong. A distant microphone, an echoing room, music under the voice, strong accents and specialist words all add mistakes, sometimes many.

  • One voice near the microphone. For a lecture, sit near the front or record the speaker’s own microphone rather than the room.
  • Less noise. Turn down hum, fans and hiss with the background noise remover first, then transcribe the cleaned file.
  • Only the part you need. Cut a long recording down with the audio trimmer; a shorter file is quicker and has fewer stretches of chatter to misread.
  • Choose the language when the recording starts with music or another language.
  • Use Standard, not Small, unless the device is slow; Small makes more mistakes, especially outside English.

Other ways to transcribe audio

You may already have a transcriber. These are fair alternatives, each with its own trade-off.

  • Word for the web (Microsoft 365): open a document, go to Home › Dictate › Transcribe, select Upload audio and pick the file. The file is uploaded to Microsoft, speakers are labelled Speaker 1, Speaker 2 and so on, and subscribers get 300 minutes a month.
  • Notes on iPhone: on an iPhone 12 or later with the device language set to one of ten supported languages, Notes can record audio and show the transcript as you record. It suits the next lecture or meeting you record rather than a file you already have.
  • Whisper on your own computer: the same model family, run from a terminal with Python. Install it with pip install -U openai-whisper, then run whisper recording.mp3 --model turbo. It also needs ffmpeg installed. It is free and offline, and the larger models are more accurate than those that fit in a browser, but it needs a capable computer and some setup.
  • Paid transcription services: services such as Otter, Rev and Descript upload the file, label speakers and often add summaries. They charge by the minute or by the month, some with a small free allowance.

What it cannot do

Files up to 4 GB and 6 hours. It does not tell speakers apart, translate, or summarise; times are per phrase, not per word. Silence and sound too quiet to be speech are skipped, and a recording with no speech is reported as such rather than filled with invented text. Treat the result as a first draft and read it before you quote from it.

It needs a current browser with WebAssembly and a way to decode sound: current Chrome, Edge, Firefox and Safari all have them. The model needs several hundred megabytes of memory, so on a phone keep the Small model, the default, and close other apps. Voice memos saved as Lossless use Apple Lossless, which Chrome cannot decode; the page says so, and converting the file to MP3 or WAV, or setting Voice Memos back to Compressed, gets round it.

Frequently asked questions

How do I convert an MP3 to text for free?

Choose the MP3 above and press Transcribe. The words appear with timestamps as it works; download them as a .txt file, or as SRT or VTT subtitles. There is no account, fee or watermark.

Can I transcribe a voice memo from my iPhone?

Yes. Save the memo to Files (Share › Save to Files) and choose it here, on the phone or on a computer. Voice memos are M4A files, which this page reads as they are.

How long does it take to transcribe an hour of audio?

From about 8 minutes on a recent Mac to an hour or more on an older laptop. The page tells you its estimate for your file and device before it starts, and offers online transcription when that would take over 20 minutes.

How accurate is it?

On clear English narration, we measured 98 to 99 words in 100 right. Real recordings with noise, accents, cross-talk or jargon have more mistakes. Play any line to check it and correct it in place.

Which languages does it transcribe?

English, Spanish, French, German, Italian, Portuguese, Dutch, Polish, Swedish, Russian, Ukrainian, Turkish, Indonesian, Japanese, Korean and Chinese can be chosen by name, and detection hears about a hundred more. English is by far the most accurate.

Can it tell who is speaking?

No. The transcript is one line per phrase with its time, without speaker names. For an interview, add the names as you read it through, or use a service that labels speakers.

Is my file uploaded?

Not unless you transcribe online. On Windows the page transcribes online by default: it says so above the Transcribe button, and you can choose your device under Advanced settings instead. Elsewhere the sound is decoded and transcribed inside this page by a speech model your browser downloads from Hugging Face, and online is offered only if the model cannot run, downloads too slowly or would take a long time. Online, the sound is sent to our server, half a minute at a time, and transcribed by Groq. We do not keep the sound or the words. A transcript you stop before the end is kept in this browser for 7 days so you can carry on with the same file; it is never sent. We count anonymous page views and whether a transcription started, finished or failed, with which model ran, why it failed from a fixed list, your browser’s error, and the kind of file, its size and length in broad bands. Never the recording, its name, its language or its words. If a transcription fails, you can choose to send us the file; it is deleted within 30 days. See the privacy policy.

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