Convert MP3 to Text

The universal transcription standard for podcasts, audiobooks, and recorded interviews. Upload your MP3 files to ScribeToAny to generate clean, speaker-separated transcripts with timestamps in minutes — making long-form audio easy to search, quote, summarize into show notes, and repurpose for social media.

  • AI transcription
  • 98 Languages
  • Encrypted; we never train AI on your files

Start with your recording

Drop an audio or video file here, or click to choose.

What you get: a real transcript

Unedited output from a 64-second interview with two speakers (synthetic voices), transcribed with speaker detection on. Only the first lines are shown.

Transcript (TXT)
SPEAKER_00 (0:00) Welcome back to Small Shop Stories.
SPEAKER_00 (0:02) Today I'm talking to Maya, who runs a tiny bakery on the
SPEAKER_00 (0:05) corner of Mill Street.
SPEAKER_01 (0:07) Thanks for having me.
SPEAKER_01 (0:08) It's really small, just two ovens and a counter.
SPEAKER_00 (0:12) So how does a normal day start for you?
Subtitles (SRT)
1
00:00:00,000 --> 00:00:01,680
[SPEAKER_00] Welcome back to Small Shop Stories.

2
00:00:02,160 --> 00:00:05,320
[SPEAKER_00] Today I'm talking to Maya, who runs a tiny bakery on the

3
00:00:05,320 --> 00:00:06,320
[SPEAKER_00] corner of Mill Street.

Checked against the script, 4 of 189 words differed — a 2.1% word error rate, counting "80" written for "eighty" as an error — and all 14 speaker turns were labelled correctly. This was clean speech; noisy recordings and people talking over each other score lower. See the full transcript and how it was scored

How it works

  1. 1

    Upload

    Drop in an audio or video file, or paste a link. All common formats are accepted.

  2. 2

    Transcribe

    AI transcribes with timestamps and optional speaker labels, usually in minutes.

  3. 3

    Export

    Edit segments online, then export TXT, SRT, VTT, TSV, CSV, JSON, PDF or DOCX.

Why ScribeToAny

  • Built for long-form podcasts and downloaded shows — variable (VBR) and constant (CBR) bitrate MP3s both work.
  • ID3 metadata and embedded chapter tags are bypassed automatically to measure and transcribe pure voice streams.
  • Noise cancellation and speech restoration filters help recover compressed telephone interviews or remote co-host recordings.

Frequently asked questions

Does lossy MP3 compression reduce transcription accuracy?

At standard bitrates (128 kbps to 320 kbps), modern Whisper-class AI transcribes MP3 audio with accuracy virtually identical to uncompressed WAV. If your MP3 is heavily compressed or recorded at very low bitrates (e.g., 32–64 kbps mono), selecting accurate mode paired with our optional AI audio restoration cleans up compression artifacts before decoding.

Does it handle multiple speakers?

Yes. Turn on speaker recognition when you start the job and every segment comes back labeled by speaker, so a two-person interview reads as a clean Q&A and a team meeting shows who said what. It works across all ~98 supported languages, and the labels carry through to exports such as TXT, DOCX and JSON.

Can I fix mistakes in the transcript?

Yes — every segment is editable right in the browser. Click a line to fix wording, delete filler segments entirely, and click any sentence to replay the exact audio behind it when you want to double-check what was said. All 8 export formats — TXT, SRT, VTT, TSV, CSV, JSON, PDF, DOCX — are generated from the edited version, so corrections only need to be made once.

How big an MP3 can I upload?

The limit is length, not size: files up to 30 minutes on the free plan, and up to 6 hours and 5 GB on paid plans. At 128 kbps an MP3 is roughly 1 MB per minute, so even a 6-hour episode is well under the size cap.

Can I paste a podcast link or RSS feed?

RSS feeds and podcast-app pages aren't imported. If your host gives you a direct link to the episode's MP3 file, paste that link; otherwise download the MP3 from your hosting dashboard and upload it — up to 6 files at a time.

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