MP3 to text

Turn an MP3 into accurate text

Upload an MP3 and get a clean, speaker-labeled transcript back in minutes. 95%+ accuracy on clear audio, 90+ languages detected automatically, no conversion needed. Test the quality free on your first 10 minutes. See the live accuracy benchmark.

Transcribe an MP3First 10 minutes free. No credit card.

Hear it, read it, at the same time

A real MP3 transcript synced to its audio. Press play, or click any word to jump to that moment.

Sample preview
play it · click any word to jump

Host:All right, welcome back to the show. So today, we are getting into something I think every single creator struggles with, which is, honestly, how do you actually finish the stuff you start?

Guest:Oh, this is so my topic because I am genuinely terrible at it.

Host:Right? So, okay, the thing that flipped it for me was time boxing. You give a task like 30 minutes, and when that timer goes off, you stop. Doesn't matter if it is done.

Guest:Wait, wait. Even if it is not finished?

Host:Especially if it is not finished. That is kind of the whole point. The deadline does the work.

Guest:Huh. Okay, that is actually kind of brilliant. I always thought I had to, you know, see the whole thing through in one sitting.

Host:Yeah. That is the trap. Little blocks every day beats one big heroic marathon that, let's be real, never actually happens.

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What actually matters with an MP3

MP3 is the format everything ends up as

Recorders, podcast downloads, exported calls, old lecture recordings: most of it is MP3. It plays on everything and refuses to die, which makes it the format people bring to a transcriber most often. Upload it directly; there's never a conversion step.

Does MP3 bitrate affect transcription accuracy?

Barely. People re-encode MP3s to higher bitrates hoping for a better transcript, but it does nothing: you can't add detail that wasn't recorded. What actually moves accuracy is clean speech, one voice at a time, and low background noise. A quiet 96kbps voice memo beats a noisy 320kbps file.

What you get back

A speaker-labeled, timestamped transcript synced to the audio, with a per-word confidence view and exports to TXT, DOCX, SRT, and WebVTT. Working with other formats too? The audio to text pillar covers WAV, M4A and the rest.

MP3 transcription at a glance

FormatMP3 (MPEG audio, the near-universal audio format)
Typical sourcePodcast downloads, voice recorders, exported calls, lectures
Conversion neededNone, upload the file directly
Best exportsTXT, DOCX, SRT, WebVTT
Max length20 hours per file
Free previewFirst 10 minutes of any file

MP3 transcription FAQ

Updated July 2026
Upload the MP3 directly, with no conversion and no software to install, and FileToText returns a speaker-labeled, timestamped transcript in minutes. It reads WAV, M4A, AAC, OGG, FLAC and most video formats too, so you never need a file converter. The first 10 minutes of any file are free on a free account; after that it is $3 per audio hour, billed per started hour, and a single file can run up to 20 hours. Bitrate barely matters: a clean 96kbps voice recording beats a noisy 320kbps one, because the model cares about how clearly the speech was recorded, not the file size. Accuracy is 95%+ on clear speech, lower on music, singing, or heavy background noise. Export the transcript as TXT, DOCX, SRT, or WebVTT, or keep a read-only share link. See the live monthly benchmark →
Less than people think. The model cares about how clear the speech is, not the bitrate. Re-encoding a file to a higher bitrate adds nothing, because you can't add detail that wasn't recorded. A clean 96kbps voice recording beats a noisy 320kbps one every time. Upload the MP3 as-is.
No. Upload the MP3 directly. FileToText also takes WAV, M4A, AAC, OGG, FLAC and most video formats, so there's never a conversion step. Converting between lossy formats can only lose quality, so don't.
Spoken word, yes. Sung lyrics and music are a different problem: singing stretches and blends words, and a loud instrumental bed competes with the vocal, so accuracy drops well below the spoken-word numbers. For a podcast, interview, or lecture MP3, you're in the sweet spot.
Up to 20 hours in a single file. A multi-hour recording is processed in one go, with the first 10 minutes free on a free account. Beyond that it's $3 per audio hour, billed per started hour and capped at $12 per file.

Start transcribing here