What it does
MP3toText turns audio and video files into text using AI speech recognition, in the browser, with nothing to install and no account needed to use it.
It accepts MP3, M4A, WAV, AAC, FLAC and OGG audio, plus MP4, MOV, MKV and WEBM video — for video the audio track is pulled out and transcribed, so there is no need to convert the file first. The language is detected automatically across more than 90 languages.
Two things come back by default that decide whether a transcript is actually usable. Every speaker is labelled separately, so an interview reads as a conversation rather than an unbroken block of text. And every line is timestamped, so any passage can be checked against the recording without listening from the beginning. Transcripts export as TXT, SRT or VTT, and the timestamps survive the export — which is what makes SRT and VTT usable as subtitle files.
Who needs it
Journalists working through interview recordings, students and researchers with lecture and fieldwork audio, podcasters producing show notes and subtitles, and support or operations teams that need meetings turned into something searchable. Anyone, in short, with more recordings than time to replay them.
Limits, stated plainly
- Files up to 2GB or 4 hours. A one-hour recording usually finishes in a few minutes.
- Around 99% word accuracy on clear speech. Accuracy drops with accents, background noise and overlapping speakers — the same as any speech-to-text system. Budget checking time by how the recording actually sounds rather than by the headline figure.
- Speaker labels come out as Speaker 1, Speaker 2 and so on; mapping them to names is a manual step.
- Files are transferred over an encrypted connection, audio and transcript are deleted 24 hours after upload, and recordings are not used to train models.
Pricing
Free: 4 hours of audio per day, up to 10 hours total, with the daily allowance resetting at 00:00 UTC. No sign-up required.
