MP3 is the everyone-format for audio: podcasts, voice memos, music, audiobooks, recorded calls. When the MP3 contains spoken word and you want the text out of it, MP3-to-text is the job. Upload your MP3, click convert, download a text file with the transcribed words. Works on any MP3 — bitrate, sample rate, length all auto-handled.
Why MP3 specifically
MP3 is the most-searched-for audio format because it's what most consumer audio recorders default to. Phone voice memo apps, podcast download files, recorded conference talks distributed online — all of them are usually MP3. Other formats (WAV, M4A, FLAC, OGG) all transcribe identically through the same pipeline, but "MP3 to text" is the dominant search query so we make sure the workflow is explicit for that format.
How it works
Upload your MP3 file — any bitrate (32kbps phone-quality through 320kbps studio-quality all transcribe equally well for speech content). Speech recognition processes the audio. Output is plain UTF-8 text with paragraph breaks. Free tier handles MP3s up to ~60 minutes per file; Pro handles multi-hour MP3s in one pass.
For other audio formats
WAV, M4A, FLAC, OGG, AAC, WebM, AMR all work the same way through the Audio to Text tool. If your file isn't MP3 specifically, just use that one — same engine, same output, no quality difference.
Frequently asked questions
What MP3 bitrates work?
All of them. 32kbps phone-quality MP3s transcribe just as accurately as 320kbps studio-quality MP3s for speech content. The MP3 codec is lossy but in ways that affect music more than speech — the speech recognition model handles the full bitrate range without accuracy loss. Don't bother re-encoding to higher bitrate before upload.
Is there a length limit on MP3 transcription?
Free tier handles MP3s up to ~60 minutes. Pro handles multi-hour MP3s in a single pass. For longer files on free tier, split with any audio editor (ffmpeg one-liner: ffmpeg -i input.mp3 -f segment -segment_time 1800 -c copy out%03d.mp3 splits into 30-minute chunks). Quality and accuracy don't change with length.
How accurate is MP3 transcription?
92-97% on clean recordings (single mic, native or fluent speaker, quiet room). Lower on phone audio or accented speech (85-92%) or noisy backgrounds (70-85%). Same Whisper-class model accuracy as any other audio format — MP3 doesn't hurt the recognition. For challenging MP3s, run audio-cleanup first (Adobe Podcast Enhance, Krisp, Auphonic) before transcribing.
Can I transcribe podcast MP3s I downloaded?
Yes — paste the MP3 file in, get the text back. For podcasts specifically, the Markdown variant is more useful (H2 sections at topic shifts, clean punctuation and paragraphing, timestamps for verification). Use Audio to Markdown directly for podcast transcription with structured output.
What about WAV / M4A / FLAC files?
All work identically through the same pipeline — see Audio to Text for the format-agnostic page. There's no quality difference between MP3 and other formats for speech transcription; the choice of audio format affects file size and editing workflow more than transcription accuracy.