Free Audio to Text: Transcribe Any Audio File Online
Upload mp3, m4a or wav and get an accurate, speaker-labeled transcript in minutes - free, in your browser, no install.
How it works
1. Upload your audio
Drag in an mp3, m4a or wav of a meeting, interview, lecture or voice note.
2. We transcribe it
Accurate text in 90+ languages, with each speaker labeled.
3. Edit & export
Rename speakers, copy the transcript, or download TXT / SRT.
It labels who said what
Most free audio-to-text tools hand back one undivided wall of text. This one labels each speaker automatically (Speaker 1, Speaker 2…), so a multi-person recording reads as a real conversation - not a blur. Rename the labels to real names, then copy or export the transcript.
Sample output
An example of a speaker-labeled transcript - each voice detected automatically.
Speaker 1Thanks for joining. For people who haven't heard your work, how would you describe what you do?
Speaker 2I turn messy recordings into something you can actually search and read. The goal is to get the words out of the audio and onto the page.
Speaker 1And the speaker labels are part of that?
Speaker 2Right - knowing who said what is half the value. A transcript without speakers is just a wall of text.
Who it's for
Anyone who needs a recording turned into text: meetings, interviews, lectures, podcasts, voice notes, and research - any audio where you want an accurate, speaker-labeled transcript you can search, edit and share.
Frequently asked questions
How do I convert audio to text for free?
Upload your audio file here and get a transcript free in your browser; sign in with Google to run it. There's no software to install.
What audio formats are supported?
mp3, m4a, wav, aac and ogg, up to 70 MB (about 1 hour of audio) per file.
Is it really free, and what are the limits?
Yes - it's free. You get a few transcripts a day; sign in with Google to run it. No app install.
How accurate is it?
High accuracy on clear audio across 90+ languages. Background noise, crosstalk and heavy accents are the hardest cases for any transcriber.
Does it label who said what?
Yes. It auto-detects and labels each speaker (Speaker 1, Speaker 2…) - speaker diarization that most free audio-to-text tools don't include.
What languages does it support?
90+ languages, detected automatically; the transcript comes back in the spoken language.
Is "audio to text" the same as "speech to text"?
Yes - they're synonyms. Both turn spoken audio into written text.
Can I edit and export the transcript?
Yes - rename the speaker labels, copy the text, or download TXT and SRT right in the browser.
Is my audio private?
Your audio file is auto-deleted within 24 hours and your transcript after 30 days; neither is used for AI training.
How is this different from Otter or Whisper?
No install and no code, with built-in speaker labels, free in the browser. Whisper needs Python; Otter caps your free minutes.
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Speakwise - AI Note TakerNever miss a key detail
- Smart summaries and action items.
- Draft a follow-up email from any recording.
- Record up to 4 hours, no limits.
- Auto-sync to Notion.
- Record offline, even with no signal.
