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Convert MP3 to text

Turn speech in MP3 and other audio or video files into text with a Whisper model that runs on your device. Timestamps and TXT, SRT, VTT export.

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How to use

  1. Step 1

    Open a recording

    Drop an MP3, WAV, M4A or other audio file, or a video, on the page.

  2. Step 2

    Choose the language

    Pick Fast (Whisper Tiny, about 41 MB) or Accurate (Whisper Base, about 77 MB), then the spoken language or automatic detection. The model downloads once.

  3. Step 3

    Transcribe

    Start the transcription. Text appears with timestamps as each part is finished.

  4. Step 4

    Export

    Click any line to correct it, then copy the text or download it as TXT, or as SRT and VTT subtitles.

Speech recognition in your browser

This tool converts MP3 to text using Whisper, an open speech recognition model. Most online transcription services upload your audio to a server. Here the model is downloaded to your browser once and then runs on your own computer or phone. Your recording never leaves your device, which matters for interviews, medical or legal notes, meetings and personal voice messages. After the first download, the model is stored by the browser and loads faster next time.

Languages and accuracy

Here Whisper works with 23 languages, including English, Spanish, French, German, Italian, Portuguese, Russian, Chinese, Japanese, Korean, Turkish and Polish. Accuracy is best for clear speech with little background noise. It is lower for:

  • several people speaking at the same time;
  • strong background music or noise;
  • very quiet or distant speakers;
  • uncommon names and technical terms;
  • mixing several languages in one sentence.

Selecting the language yourself, instead of automatic detection, usually gives better results, especially for short recordings.

Output formats

FormatWhat it containsUse
TXTplain textnotes, documents, quotes
SRTnumbered subtitles with start and end timesvideo editors, YouTube, most players
VTTweb subtitles with timesHTML5 video players, web pages

Speed and long recordings

Transcription is heavy work for a computer. On a modern laptop, a one-hour recording can take from several minutes to longer than real time, depending on the processor, the model size and the browser. Phones are slower. Keep the tab open while it works. For very long files, you can also cut the recording into parts with Split Audio and transcribe them one at a time.

Tips for a better transcript

The model listens in short windows of about 30 seconds and writes what it hears with start and end times. It adds punctuation and capital letters by itself, but it does not know who is speaking, so in an interview you will need to mark the speakers yourself. Long silences and music without speech are skipped or left empty. If the beginning of a recording is music, the first lines of text may start later than you expect; that is normal.

  1. Clean noisy recordings with Noise Reduction before transcribing.
  2. If the speaker is quiet, raise the level with Normalize first.
  3. For subtitles, check the timing in your video player. If one subtitle is too long to read, split it in a text editor; SRT and VTT are plain text files.
  4. Always read the transcript once. Correct names, numbers and words that the model may have misheard.

Video files work too: drop an MP4 and the tool transcribes its sound track, which is a quick way to make subtitles for your own videos.

Frequently asked questions

How do I convert an MP3 to text for free?

Drop the MP3 on this page, choose the language, start the transcription, and download the text as TXT, SRT or VTT.

Is my audio uploaded for transcription?

No. The Whisper model runs in your browser. Only the model is downloaded once; your audio stays on your device.

Which languages are supported?

23 languages, including English, Spanish, French, German, Russian, Chinese, Japanese and Korean. You can also get an English translation instead of the original language.

Can I make subtitles for a video?

Yes. Drop the video, transcribe it and download SRT or VTT subtitles with timestamps.

Why is transcription slow?

Speech recognition needs a lot of computing power, and it runs on your own device. Use the Fast model, and leave Run on set to the graphics card, which is much faster than the processor.

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