To convert an MP3 to text, drop the file into the box above or paste a Google Drive, Dropbox or direct link to it. Whisper large-v3-turbo transcribes the speech and detects the language. Your first file gets a free preview of the first 3 minutes; unlock the whole MP3 once, from $1.49 depending on its length, to download TXT, DOCX, SRT or VTT.
How to convert MP3 to text
- Add the MP3. Drag it onto the box above, tap to pick it from your phone or computer, or paste a public Google Drive or Dropbox link. Files up to 120 minutes and 500 MB work.
- Check the preview. The audio is prepared in your browser and uploaded in short parts. Your first file shows the first 3 minutes for free; later files show a short sample of the first lines.
- Unlock and download. Pay once for this file: $1.49 up to 15 minutes, $1.99 up to 30, $2.99 up to 60, $4.99 up to 120. Download TXT, DOCX, SRT or VTT.
Good uses for MP3 transcripts
- Podcasts: show notes, quotes and searchable episode text
- Interviews: find and copy quotes by timestamp
- Lectures and talks: study notes from recorded classes
- Calls and dictation: turn recordings into text you can edit
What to expect
The transcript is in the spoken language, with one timestamped line per sentence. Speakers are not labelled. After unlocking you can add an English translation (English only). Audio is deleted within 24 hours and is never used to train models.
Other formats: M4A to text, MP4 to text, voice memo to text.
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Questions
How do I convert an MP3 to text?
Use a speech-to-text tool that accepts MP3 files. In DropTranscribe, drop the MP3 onto the page (or paste a Google Drive, Dropbox or direct link to it). Whisper large-v3-turbo transcribes the speech and detects the language automatically. Your first file gets a free preview of the first 3 minutes. Unlocking the whole file costs $1.49 up to 15 minutes, $1.99 up to 30, $2.99 up to 60 and $4.99 up to 120, with TXT, DOCX, SRT and VTT downloads.
Does MP3 bitrate affect transcription accuracy?
A little, but much less than the recording itself. The audio is converted to 16 kHz mono before transcription, which is what speech recognition models use, so a 64 kbps voice MP3 and a 320 kbps MP3 of the same recording give very similar results. Background music, echo, distance from the microphone and people talking over each other matter far more. Very low bitrates with audible artefacts can add errors.
Last updated 2026-10-16.